CN116165054A - Rock mechanical parameter acquisition method and device and electronic equipment - Google Patents

Rock mechanical parameter acquisition method and device and electronic equipment Download PDF

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Publication number
CN116165054A
CN116165054A CN202310430795.9A CN202310430795A CN116165054A CN 116165054 A CN116165054 A CN 116165054A CN 202310430795 A CN202310430795 A CN 202310430795A CN 116165054 A CN116165054 A CN 116165054A
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parameter
rock mass
sample
component
value
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CN116165054B (en
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李春元
雷国荣
崔春阳
齐庆新
何团
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General Coal Research Institute Co Ltd
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General Coal Research Institute Co Ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N3/00Investigating strength properties of solid materials by application of mechanical stress
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N23/00Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00
    • G01N23/02Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00 by transmitting the radiation through the material
    • G01N23/04Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00 by transmitting the radiation through the material and forming images of the material
    • G01N23/046Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00 by transmitting the radiation through the material and forming images of the material using tomography, e.g. computed tomography [CT]
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/24Earth materials

Abstract

The disclosure provides a rock mass mechanical parameter acquisition method, a device and electronic equipment, wherein the method comprises the following steps: obtaining a rock mass sample of a target area, wherein the rock mass sample comprises a first component and a second component, determining a first sample parameter corresponding to the first component and a second sample parameter corresponding to the second component, obtaining scanning data of the rock mass sample according to the first sample parameter and the second sample parameter, determining a first content value corresponding to the first component and a second content value corresponding to the second component in the rock mass sample according to the scanning data, and determining a target mechanical parameter of the rock mass sample according to the first sample parameter, the second sample parameter, the first content value and the second content value. By implementing the method disclosed by the invention, the labor cost and the time cost can be effectively reduced in the rock mass mechanical parameter acquisition process, and the accuracy of the obtained target mechanical parameter is effectively improved by combining the sample parameters and the content values corresponding to the first component and the second component.

Description

Rock mechanical parameter acquisition method and device and electronic equipment
Technical Field
The disclosure relates to the technical field of rock mass exploration and testing, in particular to a rock mass mechanical parameter acquisition method, a device and electronic equipment.
Background
The natural bedding existing in the coal rock mass is the most common and widely developed original structure in the coal rock mass, the continuity and the integrity of the coal rock are controlled, the acoustic and mechanical properties of the coal rock are more complex, and the stability of underground engineering surrounding rock is greatly influenced, so that the wave velocity and the mechanical parameter change of the coal rock mass with the original bedding structure are obtained, the method has important practical significance and application value for grasping the original structure in the coal rock mass and the mechanical property of the coal rock mass, and reliable data support can be provided for underground engineering to accurately judge the structural characteristics of the coal rock mass, underground engineering development and resource exploitation by utilizing sound wave detection.
In the related art, when acquiring the mechanical parameters of the coal rock mass, higher labor cost and time cost are generally required, and the accuracy of the acquired mechanical parameters cannot be ensured.
Disclosure of Invention
The present disclosure aims to solve, at least to some extent, one of the technical problems in the related art.
Therefore, an object of the present disclosure is to provide a method, an apparatus, an electronic device, and a storage medium for acquiring a mechanical parameter of a rock mass, which can effectively reduce labor cost and time cost in the process of acquiring the mechanical parameter of the rock mass, and combine sample parameters and content values corresponding to a first component and a second component to effectively improve accuracy of an obtained target mechanical parameter.
The rock mass mechanical parameter acquisition method provided by the embodiment of the first aspect of the disclosure comprises the following steps:
obtaining a rock mass sample of a target area, wherein the rock mass sample comprises a first component and a second component;
determining a first sample parameter corresponding to the first component and a second sample parameter corresponding to the second component;
acquiring scanning data of the rock mass sample according to the first sample parameter and the second sample parameter;
determining a first content value corresponding to the first component and a second content value corresponding to the second component in the rock mass sample according to the scanning data;
and determining a target mechanical parameter of the rock mass sample according to the first sample parameter, the second sample parameter, the first content value and the second content value.
According to the rock mass mechanical parameter obtaining method provided by the embodiment of the first aspect of the disclosure, the rock mass sample of the target area is obtained, wherein the rock mass sample comprises a first component and a second component, a first sample parameter corresponding to the first component and a second sample parameter corresponding to the second component are determined, scanning data of the rock mass sample are obtained according to the first sample parameter and the second sample parameter, a first content value corresponding to the first component and a second content value corresponding to the second component in the rock mass sample are determined according to the scanning data, and the target mechanical parameter of the rock mass sample is determined according to the first sample parameter, the second sample parameter, the first content value and the second content value, so that labor cost and time cost can be effectively reduced in the rock mass mechanical parameter obtaining process, and the accuracy of the obtained target mechanical parameter is effectively improved by combining the sample parameter and the content value corresponding to the first component and the second component.
The rock mass mechanical parameter obtaining device provided by the embodiment of the second aspect of the disclosure comprises:
the device comprises a first acquisition module, a second acquisition module and a first analysis module, wherein the first acquisition module is used for acquiring a rock mass sample of a target area, and the rock mass sample comprises a first component and a second component;
a first determining module configured to determine a first sample parameter corresponding to the first component and a second sample parameter corresponding to the second component;
the second acquisition module is used for acquiring the scanning data of the rock mass sample according to the first sample parameter and the second sample parameter;
a second determining module, configured to determine a first content value corresponding to the first component and a second content value corresponding to the second component in the rock mass sample according to the scan data;
and a third determining module, configured to determine a target mechanical parameter of the rock mass sample according to the first sample parameter, the second sample parameter, the first content value and the second content value.
According to the rock mass mechanical parameter obtaining device provided by the second aspect of the embodiment of the disclosure, the rock mass sample of the target area is obtained, wherein the rock mass sample comprises a first component and a second component, a first sample parameter corresponding to the first component and a second sample parameter corresponding to the second component are determined, scanning data of the rock mass sample are obtained according to the first sample parameter and the second sample parameter, a first content value corresponding to the first component and a second content value corresponding to the second component in the rock mass sample are determined according to the scanning data, and the target mechanical parameter of the rock mass sample is determined according to the first sample parameter, the second sample parameter, the first content value and the second content value, so that labor cost and time cost can be effectively reduced in the rock mass mechanical parameter obtaining process, and the accuracy of the obtained target mechanical parameter is effectively improved by combining the sample parameter and the content value corresponding to the first component and the second component.
An electronic device according to an embodiment of a third aspect of the present disclosure includes: the system comprises a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein the processor realizes the rock mass mechanical parameter acquisition method according to the embodiment of the first aspect of the disclosure when executing the program.
An embodiment of a fourth aspect of the present disclosure proposes a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a rock mass mechanical parameter acquisition method as proposed by an embodiment of the first aspect of the present disclosure.
An embodiment of a fifth aspect of the present disclosure proposes a computer program product which, when executed by a processor, performs a method of rock mass mechanical parameter acquisition as proposed by an embodiment of the first aspect of the present disclosure.
Additional aspects and advantages of the disclosure will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the disclosure.
Drawings
The foregoing and/or additional aspects and advantages of the present disclosure will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings, in which:
FIG. 1 is a flow chart of a method for acquiring mechanical parameters of a rock mass according to an embodiment of the present disclosure;
FIG. 2 is a flow chart of a method for acquiring mechanical parameters of a rock mass according to another embodiment of the present disclosure;
FIG. 3 is a flow chart of a method for acquiring mechanical parameters of a rock mass according to another embodiment of the present disclosure;
FIG. 4 is a schematic view of a scan slice according to the present disclosure;
FIG. 5 is a schematic diagram of a scan slice gray value distribution according to the present disclosure;
FIG. 6 is a schematic diagram of a process for acquiring mechanical parameters of a rock mass according to the present disclosure;
FIG. 7 is a schematic structural view of a rock mass mechanical parameter acquisition device according to an embodiment of the present disclosure;
FIG. 8 is a schematic view of a rock mass mechanical parameter acquisition apparatus according to another embodiment of the present disclosure;
fig. 9 illustrates a block diagram of an exemplary electronic device suitable for use in implementing embodiments of the present disclosure.
Detailed Description
Embodiments of the present disclosure are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are exemplary only for explaining the present disclosure and are not to be construed as limiting the present disclosure. On the contrary, the embodiments of the disclosure include all alternatives, modifications, and equivalents as may be included within the spirit and scope of the appended claims.
Fig. 1 is a flow chart of a method for acquiring mechanical parameters of a rock mass according to an embodiment of the disclosure.
It should be noted that, the execution main body of the rock mechanical parameter obtaining method in this embodiment is a rock mechanical parameter obtaining device, and the device may be implemented in a software and/or hardware manner, and the device may be configured in an electronic device, where the electronic device may include, but is not limited to, a terminal, a server, and the like, and the terminal may be, for example, a mobile phone, a palm computer, and the like.
As shown in fig. 1, the method for acquiring rock mechanical parameters includes:
s101: a rock mass sample of the target area is obtained, wherein the rock mass sample comprises a first component and a second component.
The target area refers to an area where the mechanical parameters of the rock mass are to be acquired, and may be a coal mine, for example. And a rock mass sample may refer to a rock mass taken from a target area for use as a sample. For example, coal, sandstone, mudstone, etc.
The first component may be, for example, coal in a coal rock mass, and the second component may be rock components in the coal rock mass, or may be other components than coal in the coal rock mass.
That is, in the embodiment of the disclosure, when the rock mechanical parameter is acquired, the rock sample in the acquisition target area may be used as an acquisition source of the rock mechanical parameter, so that the quick acquisition of the rock mechanical parameter is realized indoors, and the portability of the acquisition of the rock mechanical parameter can be effectively improved.
S102: a first sample parameter corresponding to the first component is determined, and a second sample parameter corresponding to the second component is determined.
The sample parameter refers to a parameter obtained by performing parameter analysis on a first component or a second component in a rock mass sample, and can be used for indicating the relevant characteristic of the first component or the second component.
The first sample parameter refers to parameter information obtained by performing parameter analysis on the first component. The second sample parameter refers to parameter information obtained by performing parameter analysis on the second component.
For example, in determining a first sample parameter corresponding to a first component and a second sample parameter corresponding to a second component in embodiments of the present disclosure, a base parameter and/or a mechanical parameter corresponding to the first component and the second component may be determined as the sample parameters.
It will be appreciated that the parameters of the first and second components may affect the scan results of the rock mass sample, and thus, in embodiments of the present disclosure, when determining the first sample parameter corresponding to the first component, and the second sample parameter corresponding to the second component, reliable reference information may be provided for subsequent acquisition of the scan data of the rock mass sample.
S103: and acquiring scanning data of the rock mass sample according to the first sample parameter and the second sample parameter.
The scan data refers to analysis data obtained by performing scan processing on a rock sample, and can be used to describe characteristic information of the rock sample.
In the embodiment of the disclosure, when the scan data of the rock mass sample is obtained according to the first sample parameter and the second sample parameter, the first sample parameter and the second sample parameter may be input into the computer device, and then the three-dimensional scan CT system is applied to scan the rock mass sample, and the scan data of the rock mass sample is generated by combining the first sample parameter and the second sample parameter.
S104: a first content value corresponding to the first component and a second content value corresponding to the second component in the rock mass sample are determined from the scan data.
Wherein the content value may be used to indicate the proportion of the corresponding ingredient volume to the total volume.
The first content value refers to a content value corresponding to the first component. The second content value refers to a content value corresponding to the second component.
It will be appreciated that in different application scenarios, the component content of the rock sample may be different, and the different component content may affect the value of the mechanical parameter, so in the embodiment of the disclosure, when determining, according to the scan data, the first content value corresponding to the first component and the second content value corresponding to the second component in the rock sample, reliable data support may be provided for subsequently determining the target mechanical parameter of the rock sample.
S105: and determining the target mechanical parameter of the rock mass sample according to the first sample parameter, the second sample parameter, the first content value and the second content value.
Wherein, the mechanical parameter refers to a physical quantity describing the mechanical characteristics of the rock mass. They reflect the properties of rock in terms of strength, deformation, failure, etc. The acquisition and testing of rock mechanical parameters are of great significance to rock mechanical research and engineering applications. For example, in rock mining engineering, it is necessary to predict the failure mode of rock, determine the stability of the mining face, etc. through testing of rock mass mechanical parameters. And the target mechanical parameter refers to one or more mechanical parameters determined based on the first sample parameter, the second sample parameter, the first content value and the second content value in the embodiments of the disclosure, and may be, for example, one or more of poisson's ratio, shear modulus and dynamic elastic modulus.
In the embodiment of the disclosure, when determining the target mechanical parameter of the rock mass sample according to the first sample parameter, the second sample parameter, the first content value and the second content value, the first sample parameter, the second sample parameter, the first content value and the second content value may be processed based on a pre-trained mechanical parameter determination model to obtain the target mechanical parameter, or the first sample parameter, the second sample parameter, the first content value and the second content value may be processed based on a pre-determined mechanical formula to obtain the target mechanical parameter, which is not limited.
In this embodiment, a first sample parameter corresponding to a first component and a second sample parameter corresponding to a second component are determined by acquiring a rock sample of a target area, wherein the rock sample includes the first component and the second component, scanning data of the rock sample is acquired according to the first sample parameter and the second sample parameter, a first content value corresponding to the first component and a second content value corresponding to the second component are determined in the rock sample according to the scanning data, and a target mechanical parameter of the rock sample is determined according to the first sample parameter, the second sample parameter, the first content value and the second content value, so that labor cost and time cost can be effectively reduced in the process of acquiring the rock mechanical parameter, and accuracy of the obtained target mechanical parameter is effectively improved by combining the sample parameter and the content value corresponding to the first component and the second component.
Fig. 2 is a flow chart of a method for acquiring mechanical parameters of a rock mass according to another embodiment of the present disclosure.
As shown in fig. 2, the method for acquiring the rock mechanical parameters comprises the following steps:
s201: a rock mass sample of the target area is obtained, wherein the rock mass sample comprises a first component and a second component.
The description of S201 may be specifically referred to the above embodiments, and will not be repeated here.
S202: a first base parameter corresponding to the first component is determined.
The first basic parameter refers to a parameter describing basic characteristics of the first component, and may refer to, for example, a mass, a volume, and the like corresponding to the first component.
In the embodiment of the disclosure, when determining the first basic parameter corresponding to the first component, component extraction may be performed on the rock mass sample to obtain a rock mass composed of the first component, and parameter determination may be performed based on the rock mass, or may be performed on a target area to obtain a pure rock mass composed of the first component, and obtain the first basic parameter based on the pure rock mass, which is not limited.
Alternatively, in some embodiments, in determining the first base parameter corresponding to the first component, a first density value, a first longitudinal wave velocity value, and a first transverse wave velocity value corresponding to the first component may be determined, where the first density value, the first longitudinal wave velocity value, and the first transverse wave velocity value are collectively used as the first base parameter.
The first density value, the first longitudinal wave velocity value and the first transverse wave velocity value refer to a density value, a longitudinal wave velocity value and a transverse wave velocity value corresponding to the first component.
In the embodiment of the disclosure, assuming that the first component is coal, when determining the first density value, the first longitudinal wave velocity value and the first transverse wave velocity value corresponding to the first component, the mass and the volume of the pure coal may be measured by using an electronic scale, so as to obtain the density of the pure coal; and testing the longitudinal wave velocity and the transverse wave velocity of the pure coal related to the acquired rock mass composition by using an ultrasonic wave or acoustic emission system.
S203: a first force parameter corresponding to the first component is determined based on the first base parameter, wherein the first base parameter and the first force parameter are jointly used as the first sample parameter.
The first mechanical parameter may be a mechanical parameter corresponding to a pure rock mass composed of the first component.
Alternatively, in some embodiments, when determining the first mechanical parameter corresponding to the first component according to the first basic parameter, the first poisson's ratio corresponding to the first component may be determined according to the first longitudinal wave velocity value and the first transverse wave velocity value, the first shear modulus corresponding to the first component may be determined according to the first density value and the first transverse wave velocity value, and the first dynamic elastic modulus may be determined according to the first transverse wave velocity value and the first poisson's ratio, where the first poisson's ratio, the first shear modulus, and the first dynamic elastic modulus are collectively used as the first mechanical parameter.
The poisson ratio refers to the ratio of transverse positive strain to axial positive strain when a material is pulled or pressed unidirectionally, and is also called a transverse deformation coefficient, which is an elastic constant reflecting the transverse deformation of the material.
Wherein, the shear modulus refers to the ratio of the shear stress to the shear strain of a material in the limit range of the elastic deformation proportion under the action of the shear stress, and can be used for representing the capability of the material to resist the shear strain. A large modulus means that the material is strong.
The dynamic elastic modulus is one of dynamic mechanical properties of the rock, and refers to the elastic modulus displayed by the rock under the action of dynamic load. The elastic modulus refers to the proportional relation between stress and strain (i.e. according to hooke's law) of the material in the elastic deformation stage, and the proportional coefficient is called elastic modulus.
The first poisson ratio, the first shear modulus and the first dynamic elastic modulus refer to the poisson ratio, the shear modulus and the dynamic elastic modulus respectively represented by the pure rock corresponding to the first component.
That is, in the embodiment of the present disclosure, a first density value, a first longitudinal wave velocity value, and a first transverse wave velocity value corresponding to a first component may be determined, where the first density value, the first longitudinal wave velocity value, and the first transverse wave velocity value are commonly used as first base parameters, a first poisson ratio corresponding to the first component is determined according to the first longitudinal wave velocity value and the first transverse wave velocity value, a first shear modulus corresponding to the first component is determined according to the first density value and the first transverse wave velocity value, and a first dynamic elastic modulus is determined according to the first transverse wave velocity value and the first poisson ratio, where the first poisson ratio, the first shear modulus, and the first dynamic elastic modulus are commonly used as first mechanical parameters, and thus, the base parameters and the mechanical parameters corresponding to the first component may be effectively combined, so that description integrity of the obtained first base parameters and first mechanical parameters with respect to first component phase-separated characteristics may be effectively improved.
S204: a second base parameter corresponding to the second component is determined.
The second basic parameter refers to a basic parameter represented by a pure rock body corresponding to the second component.
Alternatively, in some embodiments, in determining the second base parameter corresponding to the second component, it may be that a second density value, a second longitudinal wave velocity value, and a second transverse wave velocity value corresponding to the second component are determined, where the second density value, the second longitudinal wave velocity value, and the second transverse wave velocity value are collectively used as the second base parameter.
In the embodiment of the disclosure, assuming that the second component is rock, when determining the second density value, the second longitudinal wave velocity value and the second transverse wave velocity value corresponding to the second component, the mass and the volume of the pure rock may be measured by using an electronic scale, so as to obtain the density of the pure rock; and testing the longitudinal wave velocity and the transverse wave velocity of the pure rock related to the acquired rock mass composition by using an ultrasonic wave or acoustic emission system.
S205: and determining a second mechanical parameter corresponding to the second component according to the second basic parameter, wherein the second basic parameter and the second mechanical parameter are jointly used as a second sample parameter.
The second mechanical parameter may be a mechanical parameter corresponding to a pure rock mass composed of the second component.
Alternatively, in some embodiments, when determining the second mechanical parameter corresponding to the second component according to the second base parameter, a second poisson's ratio corresponding to the second component may be determined according to a second longitudinal wave velocity value and a second transverse wave velocity value, a second shear modulus corresponding to the second component may be determined according to a second density value and a second transverse wave velocity value, and a second dynamic elastic modulus may be determined according to the second transverse wave velocity value and the second poisson's ratio, where the second poisson's ratio, the second shear modulus, and the second dynamic elastic modulus are collectively referred to as the second mechanical parameter.
That is, in the embodiment of the present disclosure, a second density value, a second longitudinal wave velocity value, and a second transverse wave velocity value corresponding to a second component may be determined, where the second density value, the second longitudinal wave velocity value, and the second transverse wave velocity value are commonly used as a second base parameter, a second poisson ratio corresponding to the second component is determined according to the second longitudinal wave velocity value and the second transverse wave velocity value, a second shear modulus corresponding to the second component is determined according to the second density value and the second transverse wave velocity value, and a second dynamic elastic modulus is determined according to the second transverse wave velocity value and the second poisson ratio, where the second poisson ratio, the second shear modulus, and the second dynamic elastic modulus are commonly used as a second mechanical parameter, and thus, the practicality of the obtained second base parameter and the second mechanical parameter may be effectively improved.
That is, in the embodiment of the present disclosure, after a rock mass sample of a target area is acquired, a first basic parameter corresponding to a first component may be determined, a first mechanical parameter corresponding to the first component may be determined according to the first basic parameter, wherein the first basic parameter and the first mechanical parameter are commonly used as a first sample parameter, a second basic parameter corresponding to a second component may be determined according to the second basic parameter, and a second mechanical parameter corresponding to the second component may be determined according to the second basic parameter, wherein the second basic parameter and the second mechanical parameter are commonly used as a second sample parameter, and thus, description effects of the obtained first sample parameter and second sample parameter corresponding to the first component and second component related information may be effectively improved.
For example, in the embodiment of the disclosure, when the first component is coal and the second component is rock, the poisson ratio v, the shear modulus K and the dynamic elastic modulus E of the pure coal and the pure rock may be obtained as follows:
Figure SMS_1
wherein, the liquid crystal display device comprises a liquid crystal display device,V pV s longitudinal wave and transverse wave velocities of pure coal or pure rock respectively (longitudinal wave and transverse wave velocities of pure coal are respectivelyV pcV sc The wave velocity of longitudinal wave and transverse wave of pure rock is respectivelyV prV sr );ρIs the density of pure coal or pure rock.
S206: size information of the rock mass sample is determined.
The size information may be information such as length, width, height, etc. of the rock mass sample.
S207: and determining scanning parameters according to the size information.
The scan parameters may refer to parameters such as scan voltage, current, and resolution corresponding to the scanning device.
S208: and performing scanning processing on the rock mass sample based on the first basic parameter, the first mechanical parameter, the second basic parameter, the second mechanical parameter and the scanning parameter to acquire scanning data.
For example, in the embodiment of the present disclosure, a rock mass (rock mass sample) to be scanned may be fixedly placed on a three-dimensional scanning CT system test bed, and scanning parameters such as a scanning voltage, a scanning current, a scanning resolution, etc. are set and fixed according to size information of the rock mass sample; simultaneously, the first basic parameter, the first mechanical parameter, the second basic parameter, the second mechanical parameter and other parameters are input into a computer. And then, a three-dimensional scanning CT system is applied to scan the rock mass, and scanned data of the rock mass are obtained.
That is, after the first sample parameter and the second sample parameter are obtained, the size information of the rock mass sample can be determined, the scanning parameter is determined according to the size information, and the rock mass sample is scanned based on the first basic parameter, the first mechanical parameter, the second basic parameter, the second mechanical parameter and the scanning parameter to obtain the scanning data, so that the size information of the rock mass sample can be effectively combined in the scanning process, the reliability of the scanning process of the rock mass sample is ensured, and the accuracy of the scanning data can be effectively improved.
S209: a first content value corresponding to the first component and a second content value corresponding to the second component in the rock mass sample are determined from the scan data.
S210: and determining the target mechanical parameter of the rock mass sample according to the first sample parameter, the second sample parameter, the first content value and the second content value.
The descriptions of S209 and S210 may be specifically referred to the above embodiments, and are not repeated herein.
In this embodiment, by determining the first base parameter corresponding to the first component, determining the first mechanical parameter corresponding to the first component according to the first base parameter, wherein the first base parameter and the first mechanical parameter are commonly used as the first sample parameter, determining the second base parameter corresponding to the second component, and determining the second mechanical parameter corresponding to the second component according to the second base parameter, wherein the second base parameter and the second mechanical parameter are commonly used as the second sample parameter, the description effect of the obtained first sample parameter and the second sample parameter corresponding to the first component and the second component related information can be effectively improved. The first density value, the first longitudinal wave velocity value and the first transverse wave velocity value corresponding to the first component are determined, wherein the first density value, the first longitudinal wave velocity value and the first transverse wave velocity value are jointly used as first basic parameters, the first Poisson ratio corresponding to the first component is determined according to the first longitudinal wave velocity value and the first transverse wave velocity value, the first shear modulus corresponding to the first component is determined according to the first density value and the first transverse wave velocity value, and the first dynamic elastic modulus is determined according to the first transverse wave velocity value and the first Poisson ratio, and the first shear modulus and the first dynamic elastic modulus are jointly used as first dynamic parameters, so that the basic parameters corresponding to the first component and the mechanical parameters can be effectively combined, and the descriptive integrity of the obtained first basic parameters and the obtained first mechanical parameters on the first component characteristics can be effectively improved. The second density value, the second longitudinal wave velocity value and the second transverse wave velocity value corresponding to the second component are determined, wherein the second density value, the second longitudinal wave velocity value and the second transverse wave velocity value are jointly used as the second basic parameter, the second Poisson ratio corresponding to the second component is determined according to the second longitudinal wave velocity value and the second transverse wave velocity value, the second shear modulus corresponding to the second component is determined according to the second density value and the second transverse wave velocity value, and the second dynamic elastic modulus is determined according to the second transverse wave velocity value and the second Poisson ratio, the second shear modulus and the second dynamic elastic modulus are jointly used as the second mechanical parameter, so that the practicability of the obtained second basic parameter and the obtained second mechanical parameter can be effectively improved. The size information of the rock mass sample is determined, the scanning parameters are determined according to the size information, and the rock mass sample is scanned based on the first basic parameter, the first mechanical parameter, the second basic parameter, the second mechanical parameter and the scanning parameters to obtain scanning data, so that the size information of the rock mass sample can be effectively combined in the scanning process, the reliability of the rock mass sample scanning process is ensured, and the accuracy of the scanning data can be effectively improved.
Fig. 3 is a flow chart illustrating a method for acquiring mechanical parameters of a rock mass according to another embodiment of the present disclosure.
As shown in fig. 3, the method for acquiring the rock mechanical parameters comprises the following steps:
s301: a rock mass sample of the target area is obtained, wherein the rock mass sample comprises a first component and a second component.
S302: a first sample parameter corresponding to the first component is determined, and a second sample parameter corresponding to the second component is determined.
S303: and acquiring scanning data of the rock mass sample according to the first sample parameter and the second sample parameter.
The descriptions of S301 to S303 may be specifically referred to the above embodiments, and are not repeated herein.
S304: and determining a rock mass to be detected in the rock mass sample.
The rock mass to be detected refers to part or all of the rock mass sample, of which the target mechanical parameters are to be determined.
For example, in the embodiment of the present disclosure, a rock sample may be divided into different horizons and different regions, and then one or more horizons and regions may be selected as the rock to be detected according to application requirements, or the whole rock sample may be directly used as the rock to be detected, which is not limited.
S305: and generating a reference image with a preset gray level according to the scanning data.
The gray level refers to the brightness difference of display pixel points in a black-and-white display, and the brightness difference is expressed as different colors in a color display, and the more the gray level is, the clearer and vivid the image gradation is. The gray level depends on the number of bits of the refresh memory cells corresponding to each pixel and the performance of the display itself. The preset gray level may be a 16-bit gray level (the gray value is 1-65535), or any other possible gray level, which is not limited.
The reference image may be a gray-scale image obtained by converting scan data after data reconstruction and data reconstruction processing.
S306: and determining gray distribution characteristics corresponding to the rock mass to be detected in the reference image.
The gray level distribution feature can be used for describing gray level value information corresponding to the rock mass to be detected in the reference image.
For example, in the embodiment of the present disclosure, a threshold segmentation method may be adopted to process and obtain scanned images of different horizons of a rock mass to be detected and gray values thereof, as shown in fig. 4 and 5, fig. 4 is a schematic view of a scanned slice according to the present disclosure, and fig. 5 is a schematic view of gray value distribution of a scanned slice according to the present disclosure.
According to the CT scanning principle, the greater the density of coal and rock materials is, the greater the attenuation of scanned X-rays is; when X-rays pass through the pores and the cracks, the attenuation coefficient is smaller; and the larger the attenuation coefficient, the brighter the CT scan gray-scale image thereof. Therefore, in fig. 4, the boundary line of the coal and the rock can be determined according to the gray level and the brightness condition, the gray level of the area where the right coal is positioned is darker, the gray level of the area where the left rock is positioned is brighter, and the gray level corresponding to the crack of the area where the right coal is positioned is black; the inside of the sample is compact, the crack development is not obvious, the inside of the coal contains trace impurities, part of natural cracks are filled by the rock, and the crack opening is small. The differences of CT gray values of coal, rock and cracks are further clarified by combining the rock mass, and gray values corresponding to each point on the dotted line (a-c) in fig. 4 are extracted, as shown in fig. 5. Analysis shows that when the line is in the rock (ab segment), the gray value is generally higher; when the line is in the coal (bc segment), the gray value is lower, and the trough of the line passing through the fissure (o point) is lower than the coal; and determining the gray level intervals of the coal, the rock and the cracks of the different layers of the rock mass from the figure 5, and then dividing the gray level threshold according to the gray level intervals of the coal, the rock and the cracks to obtain the distribution structure of the coal, the rock and the cracks.
S307: and determining a first content value and a second content value in the rock mass to be detected according to the gray distribution characteristics.
In the embodiment of the disclosure, when determining the first content value and the second content value in the rock mass to be detected according to the gray distribution characteristics, a first volume corresponding to the first component and a second volume corresponding to the second component in the rock mass to be detected may be determined according to the gray distribution characteristics, and then the first content value and the second content value are determined according to the ratio of the first volume and the second volume to the rock mass to be detected, respectively.
For example, in the embodiments of the present disclosure, when the first component is coal and the second component is rock, the volumes of coal and rock at different levels of the rock mass may be determined, respectivelyV cV r Then the region or horizon volume to be acquiredVCalculating the coal content of different layers of the rock massn c (first content value), rock contentn r (second containing)Magnitude) and 0.ltoreq.0.ltoreq.n c ≤1,0≤n r Less than or equal to 1, the formula is as follows:
n c =V c /Vn r =V r /V
that is, in the embodiment of the disclosure, after the scan data of the rock mass sample is obtained according to the first sample parameter and the second sample parameter, the rock mass to be detected in the rock mass sample may be determined, the reference image of the preset gray level is generated according to the scan data, the gray distribution feature corresponding to the rock mass to be detected in the reference image is determined, and the first content value and the second content value in the rock mass to be detected are determined according to the gray distribution feature, thereby the accuracy of the obtained first content value and second content value may be effectively improved.
S308: and determining the included angle value between the layer theory of the rock mass to be detected and the preset direction.
The rock mass layer is a layered structure generated by rock changing along the vertical direction. It emerges through abrupt or gradual changes in the material composition, structure and color of the rock, and is an important causative marker of sedimentary rock and certain volcaniclastic rocks.
The preset direction may be a predetermined propagation direction of the longitudinal wave and the transverse wave of the rock mass, for example, a horizontal direction.
The included angle value refers to an included angle beta between the bedding of the rock mass and a preset direction.
It can be appreciated that in the embodiment of the disclosure, when an included angle exists between the rock mass layer and the preset direction, the calculation process of the subsequent rock mass longitudinal wave velocity value may be affected, so when the included angle value between the rock mass layer of the rock mass to be detected and the preset direction is determined, reliable data support may be provided for the subsequent determination of the rock mass longitudinal wave velocity value of the rock mass to be detected.
S309: and determining a rock mass longitudinal wave speed value of the rock mass to be detected according to the included angle value, the first sample parameter, the second sample parameter and the first content value, wherein the propagation direction corresponding to the rock mass longitudinal wave speed value is a preset direction.
The rock mass longitudinal wave velocity value refers to a longitudinal wave velocity value corresponding to the rock mass to be detected.
In the embodiment of the disclosure, when determining the rock mass longitudinal wave velocity value of the rock mass to be detected according to the included angle value, the first sample parameter, the second sample parameter and the first content value, the included angle value, the first sample parameter, the second sample parameter and the first content value may be processed based on the pre-configured rock mass longitudinal wave velocity value to obtain the rock mass longitudinal wave velocity value.
For example, when the first component is coal and the second component is rock, the rock mass longitudinal wave velocity value
Figure SMS_2
The calculation formula of (2) can be as follows:
Figure SMS_3
wherein:
Figure SMS_13
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Figure SMS_7
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Figure SMS_8
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Figure SMS_17
,/>
Figure SMS_21
Figure SMS_20
,/>
Figure SMS_22
,/>
Figure SMS_12
、/>
Figure SMS_16
longitudinal wave velocity average value of pure coal and pure rockDifference of (i.e.)>
Figure SMS_4
Is->
Figure SMS_9
And->
Figure SMS_5
Is a difference in (2); />
Figure SMS_10
、/>
Figure SMS_14
The average value of the density of the coal and the difference from the pure rock, i.e.)>
Figure SMS_18
Is->
Figure SMS_6
And->
Figure SMS_11
Is a difference in (2); />
Figure SMS_15
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Figure SMS_19
Respectively the average value and the difference value of poisson ratios of coal and rock;Mthe shear modulus ratio of coal and rock;U =(1-M 2 )/MW=(1+M 2 )/MZ=n c -n c 2 the longitudinal wave and transverse wave speeds of the pure coal are respectivelyV pcV sc The wave velocity of longitudinal wave and transverse wave of pure rock is respectivelyV prV sr
Based on the method, longitudinal wave velocities of different horizons, different areas or the whole rock mass in the rock mass sample can be calculated.
S310: and determining a rock mass density value of the rock mass to be detected according to the first density value, the second density value, the first content value and the second content value.
The rock mass density value refers to a density value corresponding to the rock mass to be detected.
For example, in the embodiments of the present disclosure, when determining the rock mass density value of the rock mass to be detected based on the first density value, the second density value, the first content value, and the second content value, the rock mass density value may be based on the density of pure coal, pure rockρ cρ r Based on the region or horizon volume to be acquiredVAccurate calculation of horizon density of rock massρ l The following formula is shown:
ρ l =[ρ c ·V·n c +ρ r ·V(1-n c )]/V=[ρ c ·n c +ρ r ·(1-n c )]
s311: and determining the shear modulus of the rock mass to be detected as a target mechanical parameter according to the longitudinal wave velocity value and the density value of the rock mass.
The shear modulus of the rock mass refers to the shear modulus corresponding to the rock mass to be detected.
That is, in the embodiment of the present disclosure, after determining the first content value and the second content value in the rock to be detected according to the gray distribution feature, an included angle value between the layer of the rock to be detected and the preset direction may be determined, and a rock mass longitudinal wave velocity value of the rock to be detected may be determined according to the included angle value, the first sample parameter, the second sample parameter and the first content value, where a propagation direction corresponding to the rock mass longitudinal wave velocity value is the preset direction, and a rock mass density value of the rock to be detected may be determined according to the first density value, the second density value, the first content value and the second content value, and a rock mass shear modulus of the rock to be detected may be determined as a target mechanical parameter according to the rock mass longitudinal wave velocity value and the rock mass density value.
S312: and generating a target evolution image according to the rock mass longitudinal wave speed values and the target mechanical parameters corresponding to the rock masses to be detected.
The target evolution image may be an image used to describe a rock mass longitudinal wave velocity value corresponding to a plurality of rock masses to be detected and an evolution process corresponding to a target mechanical parameter.
For example, in the embodiment of the disclosure, the above formulas may be programmed into a microcomputer and fused with a CT scanning program, and the longitudinal wave velocity values and mechanical parameters of the rock mass in different horizons or different regions are displayed in real time by the computer in combination with the conditions such as the wave velocity of pure coal and pure rock measured indoors.
That is, according to the embodiment of the disclosure, after the shear modulus of the rock mass to be detected is determined as the target mechanical parameter according to the longitudinal wave velocity value of the rock mass and the density value of the rock mass, the target evolution image can be generated according to the longitudinal wave velocity values of the rock mass and the target mechanical parameter corresponding to a plurality of rock masses to be detected, so that the longitudinal wave velocity values of the rock mass and the target mechanical parameter under different horizons or different areas can be displayed in real time rapidly based on the target evolution image, the actual distribution and the change state can be intuitively reflected, the basis can be provided for analyzing the local damage of the rock mass, the target of wave velocity measurement can be accurately, conveniently and automatically realized, and reliable basic data can be provided for judging the characteristics of the rock mass.
In this embodiment, the rock mass to be detected in the rock mass sample is determined, the reference image of the preset gray level is generated according to the scan data, the gray distribution characteristic corresponding to the rock mass to be detected in the reference image is determined, and the first content value and the second content value in the rock mass to be detected are determined according to the gray distribution characteristic, so that the accuracy of the obtained first content value and second content value can be effectively improved. The method comprises the steps of determining an included angle value between a rock mass layer of a rock mass to be detected and a preset direction, determining a rock mass longitudinal wave speed value of the rock mass to be detected according to the included angle value, a first sample parameter, a second sample parameter and a first content value, wherein the propagation direction corresponding to the rock mass longitudinal wave speed value is the preset direction, determining a rock mass density value of the rock mass to be detected according to a first density value, a second density value, the first content value and the second content value, and determining a rock mass shear modulus of the rock mass to be detected as a target mechanical parameter according to the rock mass longitudinal wave speed value and the rock mass density value, so that the reliability of a target mechanical parameter determining process can be effectively improved, and the accuracy of the obtained target mechanical parameter can be effectively improved. According to the rock mass longitudinal wave velocity values and the target mechanical parameters corresponding to the rock masses to be detected, the target evolution image is generated, so that the longitudinal wave velocity values and the target mechanical parameters of the rock masses in different layers or different areas can be displayed rapidly and in real time based on the target evolution image, actual distribution and change states can be intuitively reflected, basis can be provided for analyzing local damage of the rock masses, the target of wave velocity measurement can be accurately, conveniently and automatically realized, and reliable basic data can be provided for judging the characteristics of the rock masses.
For example, as shown in fig. 6, fig. 6 is a schematic diagram of a process for acquiring mechanical parameters of a rock mass according to the present disclosure, which includes the following steps:
step 1: basic parameters such as the lithologic components, the bedding inclination angle, the specification and size, the density of pure coal and pure rock, the wave speed and the like in the rock sample are obtained indoors;
step 2: calculating mechanical parameters of pure coal and pure rock by using an elastic wave equation;
step 3: the method comprises the steps of fixedly placing the device on a three-dimensional scanning CT system test bed, setting scanning parameters, inputting the parameters obtained in the steps 1 and 2, and obtaining scanning data;
step 4: three-dimensional reconstruction is carried out on the scanning data, the scanning data are converted into gray images, and then a threshold segmentation method is applied to obtain the scanning images and gray values;
step 5: determining the gray value range of coal and rock, and calculating the coal content and the rock content of the rock mass;
step 6: calculating the longitudinal wave velocity of the rock mass according to the wave propagation direction, the bedding inclination angle, the coal content and the like;
step 7: calculating densities of different layers of the rock mass according to the coal rock content, and accurately calculating shear moduli of the different layers of the rock mass by combining wave velocity measurement;
step 8: and (3) programming a calculation program, fusing the calculation program with a CT scanning program, and rapidly, accurately and conveniently displaying the density, the shear modulus value and the evolution image of the rock sample in real time through a computer.
Fig. 7 is a schematic structural diagram of a rock mass mechanical parameter acquisition device according to an embodiment of the present disclosure.
As shown in fig. 7, the rock mass mechanical parameter acquisition apparatus 70 includes:
a first obtaining module 701, configured to obtain a rock mass sample of a target area, where the rock mass sample includes a first component and a second component;
a first determining module 702, configured to determine a first sample parameter corresponding to a first component and a second sample parameter corresponding to a second component;
a second obtaining module 703, configured to obtain scan data of the rock mass sample according to the first sample parameter and the second sample parameter;
a second determining module 704, configured to determine a first content value corresponding to the first component and a second content value corresponding to the second component in the rock mass sample according to the scan data;
a third determining module 705 is configured to determine a target mechanical parameter of the rock mass sample based on the first sample parameter, the second sample parameter, the first content value and the second content value.
In some embodiments of the present disclosure, as shown in fig. 8, fig. 8 is a schematic structural diagram of a rock mechanical parameter obtaining device according to another embodiment of the present disclosure, and the first determining module 702 is specifically configured to:
Determining a first base parameter corresponding to the first component;
determining a first force parameter corresponding to the first component based on the first base parameter, wherein the first base parameter and the first force parameter are jointly used as a first sample parameter;
determining a second base parameter corresponding to the second component;
and determining a second mechanical parameter corresponding to the second component according to the second basic parameter, wherein the second basic parameter and the second mechanical parameter are jointly used as a second sample parameter.
In some embodiments of the present disclosure, the first determining module 702 is further configured to:
determining a first density value, a first longitudinal wave velocity value and a first transverse wave velocity value corresponding to the first component, wherein the first density value, the first longitudinal wave velocity value and the first transverse wave velocity value are jointly used as a first basic parameter;
determining a first poisson ratio corresponding to the first component according to the first longitudinal wave speed value and the first transverse wave speed value;
determining a first shear modulus corresponding to the first component based on the first density value and the first shear wave velocity value;
a first dynamic elastic modulus is determined based on the first shear wave velocity value and the first poisson's ratio, wherein the first poisson's ratio, the first shear modulus and the first dynamic elastic modulus are jointly used as the first mechanical parameter.
In some embodiments of the present disclosure, the first determining module 702 is further configured to:
determining a second density value, a second longitudinal wave velocity value, and a second transverse wave velocity value corresponding to the second component, wherein the second density value, the second longitudinal wave velocity value, and the second transverse wave velocity value are collectively used as a second base parameter;
determining a second poisson ratio corresponding to the second component according to the second longitudinal wave velocity value and the second transverse wave velocity value;
determining a second shear modulus corresponding to the second component based on the second density value and the second shear wave velocity value;
and determining a second dynamic elastic modulus according to the second transverse wave speed value and the second Poisson's ratio, wherein the second Poisson's ratio, the second shear modulus and the second dynamic elastic modulus are jointly used as a second mechanical parameter.
In some embodiments of the present disclosure, the second obtaining module 703 is specifically configured to:
determining size information of a rock mass sample;
determining scanning parameters according to the size information;
and performing scanning processing on the rock mass sample based on the first basic parameter, the first mechanical parameter, the second basic parameter, the second mechanical parameter and the scanning parameter to acquire scanning data.
In some embodiments of the present disclosure, the second determining module 704 is specifically configured to:
Determining a rock mass to be detected in a rock mass sample;
generating a reference image with a preset gray level according to the scanning data;
determining gray distribution characteristics corresponding to a rock mass to be detected in a reference image;
and determining a first content value and a second content value in the rock mass to be detected according to the gray distribution characteristics.
In some embodiments of the present disclosure, the third determining module 705 is specifically configured to:
determining an included angle value between a rock mass layer theory of the rock mass to be detected and a preset direction;
determining a rock mass longitudinal wave speed value of the rock mass to be detected according to the included angle value, the first sample parameter, the second sample parameter and the first content value, wherein the propagation direction corresponding to the rock mass longitudinal wave speed value is a preset direction;
determining a rock mass density value of the rock mass to be detected according to the first density value, the second density value, the first content value and the second content value;
and determining the shear modulus of the rock mass to be detected as a target mechanical parameter according to the longitudinal wave velocity value and the density value of the rock mass.
In some embodiments of the present disclosure, the rock mass sample includes a plurality of rock masses to be detected, the apparatus further comprising:
the generating module 706 is configured to generate a target evolution image according to rock mass longitudinal wave velocity values and target mechanical parameters corresponding to the plurality of rock masses to be detected.
It should be noted that the explanation of the method for obtaining the mechanical parameters of the rock mass is also applicable to the device for obtaining the mechanical parameters of the rock mass in this embodiment, and will not be repeated here.
In this embodiment, a first sample parameter corresponding to a first component and a second sample parameter corresponding to a second component are determined by acquiring a rock sample of a target area, wherein the rock sample includes the first component and the second component, scanning data of the rock sample is acquired according to the first sample parameter and the second sample parameter, a first content value corresponding to the first component and a second content value corresponding to the second component are determined in the rock sample according to the scanning data, and a target mechanical parameter of the rock sample is determined according to the first sample parameter, the second sample parameter, the first content value and the second content value, so that labor cost and time cost can be effectively reduced in the process of acquiring the rock mechanical parameter, and accuracy of the obtained target mechanical parameter is effectively improved by combining the sample parameter and the content value corresponding to the first component and the second component.
Fig. 9 illustrates a block diagram of an exemplary electronic device suitable for use in implementing embodiments of the present disclosure. The electronic device 12 shown in fig. 9 is merely an example and should not be construed as limiting the functionality and scope of use of the disclosed embodiments.
As shown in fig. 9, the electronic device 12 is in the form of a general purpose computing device. Components of the electronic device 12 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, a bus 18 that connects the various system components, including the system memory 28 and the processing units 16.
Bus 18 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, and a local bus using any of a variety of bus architectures. By way of example, and not limitation, such architectures include industry Standard architecture (Industry Standard Architecture; hereinafter ISA) bus, micro channel architecture (Micro Channel Architecture; hereinafter MAC) bus, enhanced ISA bus, video electronics standards Association (Video Electronics Standards Association; hereinafter VESA) local bus, and peripheral component interconnect (Peripheral Component Interconnection; hereinafter PCI) bus.
Electronic device 12 typically includes a variety of computer system readable media. Such media can be any available media that is accessible by electronic device 12 and includes both volatile and nonvolatile media, removable and non-removable media.
Memory 28 may include computer system readable media in the form of volatile memory, such as random access memory (Random Access Memory; hereinafter: RAM) 30 and/or cache memory 32. The electronic device 12 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 34 may be used to read from or write to non-removable, nonvolatile magnetic media (not shown in FIG. 9, commonly referred to as a "hard disk drive").
Although not shown in fig. 9, a magnetic disk drive for reading from and writing to a removable nonvolatile magnetic disk (e.g., a "floppy disk"), and an optical disk drive for reading from or writing to a removable nonvolatile optical disk (e.g., a compact disk read only memory (Compact Disc Read Only Memory; hereinafter CD-ROM), digital versatile read only optical disk (Digital Video Disc Read Only Memory; hereinafter DVD-ROM), or other optical media) may be provided. In such cases, each drive may be coupled to bus 18 through one or more data medium interfaces. Memory 28 may include at least one program product having a set (e.g., at least one) of program modules configured to carry out the functions of the various embodiments of the disclosure.
A program/utility 40 having a set (at least one) of program modules 42 may be stored in, for example, memory 28, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment. Program modules 42 generally perform the functions and/or methods in the embodiments described in this disclosure.
The electronic device 12 may also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), one or more devices that enable a person to interact with the electronic device 12, and/or any devices (e.g., network card, modem, etc.) that enable the electronic device 12 to communicate with one or more other computing devices. Such communication may occur through an input/output (I/O) interface 22. Also, the electronic device 12 may communicate with one or more networks, such as a local area network (Local Area Network; hereinafter: LAN), a wide area network (Wide Area Network; hereinafter: WAN) and/or a public network, such as the Internet, via the network adapter 20. As shown, the network adapter 20 communicates with other modules of the electronic device 12 over the bus 18. It should be appreciated that although not shown, other hardware and/or software modules may be used in connection with electronic device 12, including, but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.
The processing unit 16 executes various functional applications and data processing, such as implementing the rock mass mechanics parameter acquisition method mentioned in the previous embodiments, by running a program stored in the system memory 28.
To achieve the above-described embodiments, the present disclosure also proposes a non-transitory computer-readable storage medium, on which a computer program is stored, which program, when being executed by a processor, implements a rock mass mechanical parameter acquisition method as proposed in the foregoing embodiments of the present disclosure.
To achieve the above embodiments, the present disclosure also proposes a computer program product which, when executed by an instruction processor in the computer program product, performs a rock mass mechanical parameter acquisition method as proposed in the foregoing embodiments of the present disclosure.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This disclosure is intended to cover any adaptations, uses, or adaptations of the disclosure following the general principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It is to be understood that the present disclosure is not limited to the precise arrangements and instrumentalities shown in the drawings, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
It should be noted that in the description of the present disclosure, the terms "first," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. Furthermore, in the description of the present disclosure, unless otherwise indicated, the meaning of "a plurality" is two or more.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and further implementations are included within the scope of the preferred embodiment of the present disclosure in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the embodiments of the present disclosure.
It should be understood that portions of the present disclosure may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, may be implemented using any one or combination of the following techniques, as is well known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.
Those of ordinary skill in the art will appreciate that all or a portion of the steps carried out in the method of the above-described embodiments may be implemented by a program to instruct related hardware, where the program may be stored in a computer readable storage medium, and where the program, when executed, includes one or a combination of the steps of the method embodiments.
Furthermore, each functional unit in the embodiments of the present disclosure may be integrated in one processing module, or each unit may exist alone physically, or two or more units may be integrated in one module. The integrated modules may be implemented in hardware or in software functional modules. The integrated modules may also be stored in a computer readable storage medium if implemented in the form of software functional modules and sold or used as a stand-alone product.
The above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, or the like.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present disclosure. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Although embodiments of the present disclosure have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the present disclosure, and that variations, modifications, alternatives, and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the present disclosure.

Claims (10)

1. A method for acquiring mechanical parameters of a rock mass, comprising:
obtaining a rock mass sample of a target area, wherein the rock mass sample comprises a first component and a second component;
determining a first sample parameter corresponding to the first component and a second sample parameter corresponding to the second component;
acquiring scanning data of the rock mass sample according to the first sample parameter and the second sample parameter;
determining a first content value corresponding to the first component and a second content value corresponding to the second component in the rock mass sample according to the scanning data;
and determining a target mechanical parameter of the rock mass sample according to the first sample parameter, the second sample parameter, the first content value and the second content value.
2. The method of claim 1, wherein the determining a first sample parameter corresponding to the first component and a second sample parameter corresponding to the second component comprises:
Determining a first base parameter corresponding to the first component;
determining a first mechanical parameter corresponding to the first component from the first base parameter, wherein the first base parameter and the first mechanical parameter are jointly used as the first sample parameter;
determining a second base parameter corresponding to the second component;
and determining a second mechanical parameter corresponding to the second component according to the second basic parameter, wherein the second basic parameter and the second mechanical parameter are jointly used as the second sample parameter.
3. The method of claim 2, wherein the determining a first base parameter corresponding to the first component comprises:
determining a first density value, a first longitudinal wave velocity value, and a first transverse wave velocity value corresponding to the first component, wherein the first density value, the first longitudinal wave velocity value, and the first transverse wave velocity value are collectively used as the first base parameter;
wherein said determining a first force parameter corresponding to said first component based on said first base parameter comprises:
determining a first poisson ratio corresponding to the first component according to the first longitudinal wave speed value and the first transverse wave speed value;
Determining a first shear modulus corresponding to the first component from the first density value and the first shear wave velocity value;
a first dynamic elastic modulus is determined from the first shear wave velocity value and the first poisson's ratio, wherein the first poisson's ratio, the first shear modulus and the first dynamic elastic modulus are jointly taken as the first mechanical parameter.
4. The method of claim 2, wherein the determining a second base parameter corresponding to the second component comprises:
determining a second density value, a second longitudinal wave velocity value, and a second transverse wave velocity value corresponding to the second component, wherein the second density value, the second longitudinal wave velocity value, and the second transverse wave velocity value are collectively taken as the second base parameter;
wherein determining a second mechanical parameter corresponding to the second component based on the second base parameter comprises:
determining a second poisson ratio corresponding to the second component according to the second longitudinal wave velocity value and the second transverse wave velocity value;
determining a second shear modulus corresponding to the second component from the second density value and the second shear wave velocity value;
And determining a second dynamic elastic modulus according to the second transverse wave speed value and the second poisson ratio, wherein the second poisson ratio, the second shear modulus and the second dynamic elastic modulus are taken as the second mechanical parameter together.
5. The method of claim 2, wherein the obtaining scan data for the rock mass sample based on the first sample parameter and the second sample parameter comprises:
determining size information of the rock mass sample;
determining scanning parameters according to the size information;
and performing scanning processing on the rock mass sample based on the first basic parameter, the first mechanical parameter, the second basic parameter, the second mechanical parameter and the scanning parameter to acquire the scanning data.
6. The method of claim 1, wherein determining a first content value corresponding to the first component and a second content value corresponding to the second component in the rock mass sample from the scan data comprises:
determining a rock mass to be detected in the rock mass sample;
generating a reference image with a preset gray level according to the scanning data;
Determining gray distribution characteristics corresponding to the rock mass to be detected in the reference image;
and determining the first content value and the second content value in the rock mass to be detected according to the gray distribution characteristics.
7. The method of claim 6, wherein the determining the target mechanical parameter of the rock mass sample from the first sample parameter, the second sample parameter, the first content value, and the second content value comprises:
determining an included angle value between a rock mass layer theory of the rock mass to be detected and a preset direction;
determining a rock mass longitudinal wave speed value of the rock mass to be detected according to the included angle value, the first sample parameter, the second sample parameter and the first content value, wherein the propagation direction corresponding to the rock mass longitudinal wave speed value is the preset direction;
determining a rock mass density value of the rock mass to be detected according to the first density value, the second density value, the first content value and the second content value;
and determining the rock mass shear modulus of the rock mass to be detected as the target mechanical parameter according to the rock mass longitudinal wave speed value and the rock mass density value.
8. The method of claim 7, wherein the rock mass sample comprises a plurality of the rock masses to be detected, the method further comprising:
And generating a target evolution image according to the rock mass longitudinal wave speed values and the target mechanical parameters corresponding to the rock mass to be detected.
9. A rock mass mechanical parameter acquisition device, comprising:
the device comprises a first acquisition module, a second acquisition module and a first analysis module, wherein the first acquisition module is used for acquiring a rock mass sample of a target area, and the rock mass sample comprises a first component and a second component;
a first determining module configured to determine a first sample parameter corresponding to the first component and a second sample parameter corresponding to the second component;
the second acquisition module is used for acquiring the scanning data of the rock mass sample according to the first sample parameter and the second sample parameter;
a second determining module, configured to determine a first content value corresponding to the first component and a second content value corresponding to the second component in the rock mass sample according to the scan data;
and a third determining module, configured to determine a target mechanical parameter of the rock mass sample according to the first sample parameter, the second sample parameter, the first content value and the second content value.
10. An electronic device, comprising:
at least one processor; and
A memory communicatively coupled to the at least one processor; wherein, the liquid crystal display device comprises a liquid crystal display device,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-8.
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Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103091342A (en) * 2011-10-31 2013-05-08 中国石油化工股份有限公司 Method for carrying out CT scanning analysis processing upon rock core sample
CN103278614A (en) * 2013-04-28 2013-09-04 北京大学 Method and device for correcting dynamic and static rock mechanical parameters
CN108983312A (en) * 2018-05-25 2018-12-11 中国海洋石油集团有限公司 A kind of crack elimination anisotropic rock modulus evaluation method
CN113406130A (en) * 2020-03-16 2021-09-17 中国科学院寒区旱区环境与工程研究所 Method for measuring mineral content of massive rock sample
US11282183B1 (en) * 2021-04-29 2022-03-22 Institute Of Geology And Geophysics, Chinese Academy Of Sciences Rock brittleness analysis method and system based on mineral content and distribution and device
CN114460119A (en) * 2021-12-22 2022-05-10 数岩科技股份有限公司 Mechanical parameter acquisition method and device, electronic equipment and computer storage medium
CN115963541A (en) * 2021-10-13 2023-04-14 中国石油化工股份有限公司 Brittleness index calculation method and system for high-porosity reservoir and electronic equipment

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103091342A (en) * 2011-10-31 2013-05-08 中国石油化工股份有限公司 Method for carrying out CT scanning analysis processing upon rock core sample
CN103278614A (en) * 2013-04-28 2013-09-04 北京大学 Method and device for correcting dynamic and static rock mechanical parameters
CN108983312A (en) * 2018-05-25 2018-12-11 中国海洋石油集团有限公司 A kind of crack elimination anisotropic rock modulus evaluation method
CN113406130A (en) * 2020-03-16 2021-09-17 中国科学院寒区旱区环境与工程研究所 Method for measuring mineral content of massive rock sample
US11282183B1 (en) * 2021-04-29 2022-03-22 Institute Of Geology And Geophysics, Chinese Academy Of Sciences Rock brittleness analysis method and system based on mineral content and distribution and device
CN115963541A (en) * 2021-10-13 2023-04-14 中国石油化工股份有限公司 Brittleness index calculation method and system for high-porosity reservoir and electronic equipment
CN114460119A (en) * 2021-12-22 2022-05-10 数岩科技股份有限公司 Mechanical parameter acquisition method and device, electronic equipment and computer storage medium

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