CN115713011A - Method, device and equipment for quickly evaluating rock mass quality and readable storage medium - Google Patents
Method, device and equipment for quickly evaluating rock mass quality and readable storage medium Download PDFInfo
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Abstract
The application relates to a method, a device, equipment and a readable storage medium for rapidly evaluating the quality of a rock mass, which comprises the steps of obtaining target while-drilling parameters after a drilling machine drills into a rock mass to be tested; respectively inputting target while-drilling parameters into a preset rock hardness degree prediction model, a preset rock weathering degree prediction model and a preset rock integrity degree prediction model to obtain a target rock hardness comprehensive index, a target rock weathering comprehensive index and a target rock integrity comprehensive index; determining a target rock strength grade based on a mapping relation among the target rock hardness comprehensive index, the target rock weathering comprehensive index and the rock strength grade; determining the integrity grade of the target rock mass based on the mapping relation between the integrity comprehensive index of the target rock mass and the integrity grade of the rock mass; the target rock mass quality grade of the rock mass to be measured is determined based on the mapping relation among the target rock strength grade, the target rock mass integrity grade and the rock mass quality grade, and the quality of the engineering rock mass is quickly and accurately evaluated while drilling.
Description
Technical Field
The application relates to the technical field of underground engineering and geotechnical engineering, in particular to a method, a device, equipment and a readable storage medium for rapidly evaluating rock mass quality.
Background
In the engineering construction process, the quality of the rock mass is evaluated correctly and timely, and the method is a basic condition for economically and reasonably carrying out rock mass excavation, reinforcing and supporting design and rapid and safe construction. Therefore, how to rapidly and accurately acquire the rock mechanical parameters and structural characteristics becomes a research hotspot. At present, an indoor test method and an in-situ test method are usually adopted to obtain rock mechanical parameters and structural characteristics, but because the indoor test method needs to convey a rock core to a laboratory for testing, the defects of long time consumption, high cost and the like exist; the conventional in-situ test method has the problems of complicated operation process, large test result discreteness and the like. Therefore, the indoor test method and the in-situ test method are difficult to meet the requirements of the actual engineering on rapidity and accuracy of rock mass quality evaluation.
In addition, in the qualitative classification of rock mass quality in actual engineering, technical personnel usually identify and judge or judge and score some indexes artificially on site for a plurality of factors influencing the rock mass quality, the method fully depends on engineering practice experience of the technical personnel, the test quantity in actual work is very limited, the test process is slow, and the construction is difficult to be guided in time, namely, the problems of strong artificial subjectivity, limited test data, low test efficiency and the like exist.
Disclosure of Invention
The application provides a method, a device and equipment for rapidly evaluating the quality of a rock mass and a readable storage medium, which are used for solving the problems in the related art.
In a first aspect, a method for rapidly evaluating the quality of a rock mass is provided, which comprises the following steps:
acquiring target while-drilling parameters after a drilling machine drills into a rock mass to be measured, wherein the target while-drilling parameters comprise corresponding audio frequency parameters, vibration parameters, electro-hydraulic parameters, rock characteristic parameters, mineral characteristic parameters, structural plane geometric characteristic parameters and structural plane property characteristic parameters in the drilling process;
respectively inputting the target while-drilling parameters into a preset rock hardness degree prediction model, a preset rock weathering degree prediction model and a preset rock integrity degree prediction model to obtain a target rock hardness comprehensive index, a target rock weathering comprehensive index and a target rock integrity comprehensive index;
determining a target rock strength grade based on the target rock hardness comprehensive index, the target rock weathering comprehensive index and the mapping relation between the rock strength grades;
determining the integrity grade of the target rock mass based on the mapping relation between the integrity comprehensive index of the target rock mass and the integrity grade of the rock mass;
and determining the target rock mass quality grade of the rock mass to be detected based on the mapping relation among the target rock strength grade, the target rock mass integrity grade and the rock mass quality grade.
In some embodiments, before the step of inputting the target while drilling parameters into the preset rock hardness degree prediction model, the preset rock weathering degree prediction model and the preset rock integrity degree prediction model respectively, the method further includes:
acquiring experiment main frequency data and experiment sound pressure amplitude data at a rock breaking while drilling position and experiment vibration acceleration while drilling at a position close to a drill bit through a digital drilling test;
constructing a while-drilling audio frequency sub-model based on the experimental main frequency data and the experimental sound pressure amplitude data;
constructing a vibration while drilling sub model based on the experimental vibration while drilling acceleration;
and constructing and generating a preset rock hardness degree prediction model according to the while-drilling acoustic frequency sub-model and the while-drilling vibration sub-model.
In some embodiments, the audio while drilling submodel is:
the vibration while drilling sub-model comprises the following steps:
the rock hardness degree prediction model comprises the following steps:
RH＝0.5RH 1 +0.5RH 2
in the formula, RH 1 Denotes the first rock hardness index, F (i) denotes the ith experimental principal component frequency data, SP i Represents the experimental sound pressure amplitude data, RH, corresponding to the ith experimental principal component frequency 2 Indicating the second rock hardness index, RMS i And the root mean square value of the experimental vibration acceleration while drilling in the ith direction is shown, a, b, c and d are fitting coefficients, and RH represents a comprehensive index of rock hardness.
In some embodiments, before the step of inputting the target while drilling parameters into the preset rock hardness degree prediction model, the preset rock weathering degree prediction model and the preset rock integrity degree prediction model respectively, the method further includes:
acquiring experimental characteristic element information and experimental structure construction information corresponding to drilling rocks, and experimental component characteristic information and experimental spectral data information corresponding to drilling minerals through a digital drilling test;
constructing a rock structure sub-model based on the experimental characteristic element information and the experimental structure construction information;
constructing a mineral alteration sub-model based on the experimental component characteristic information and the experimental spectral data information;
and constructing and generating a preset rock weathering degree prediction model according to the rock structure submodel and the mineral alteration submodel.
In some embodiments, the preset rock weathering degree prediction model is:
RW＝0.5δ SC +0.5λ CA
in the formula, RW represents the rock weathering index, delta SC Representing the structural variation of the rock, λ CA Indicating the amount of change in the color of the mineral components.
In some embodiments, before the step of inputting the target while-drilling parameters into the preset rock hardness degree prediction model, the preset rock weathering degree prediction model and the preset rock integrity degree prediction model respectively, the method further comprises:
acquiring the corresponding experimental structural surface group number and experimental average interval in the drilling process, experimental revolving pressure, experimental drilling speed and experimental bit torque through a digital drilling test;
constructing a development degree sub-model based on the number of the groups of the experimental structural surfaces and the experimental average interval;
constructing a binding degree sub-model based on the experimental revolving pressure, the experimental drilling speed and the experimental drill bit torque;
and constructing and generating a preset rock integrity prediction model according to the development degree sub-model and the combination degree sub-model.
In some embodiments, the preset rock integrity prediction model is:
in the formula, RI represents the complete comprehensive index of rock mass,
representing the value of the developmental degree of a structural plane, eta AP Representing the bonding degree value of the structural surface;
the value of the degree of bonding eta of the structural surface AP The calculation formula of (2) is as follows:
in the formula: x 1 Indicating the value of the gyration pressure, X 2 Indicates the drilling speed value, X 3 Representing the bit torque value, W 1 Weight value, W, representing the revolving pressure 2 Weight value, W, representing the rate of penetration 3 Representing the weight value of the torque of the drill bit, wherein Π X represents the cumulative product of the variable X, and e and f are fitting coefficients.
In a second aspect, a device for rapidly evaluating the quality of a rock mass is provided, which comprises:
the device comprises a parameter acquisition unit, a parameter acquisition unit and a parameter acquisition unit, wherein the parameter acquisition unit is used for acquiring target while-drilling parameters after a drilling machine drills into a rock mass to be detected, and the target while-drilling parameters comprise corresponding audio frequency parameters, vibration parameters, electro-hydraulic parameters, rock characteristic parameters, mineral characteristic parameters, structural surface geometric characteristic parameters and structural surface property characteristic parameters in the drilling process;
the index prediction unit is used for respectively inputting the target while-drilling parameters into a preset rock hardness degree prediction model, a preset rock weathering degree prediction model and a preset rock integrity degree prediction model to obtain a target rock hardness comprehensive index, a target rock weathering comprehensive index and a target rock integrity comprehensive index;
the quality evaluation unit is used for determining a target rock strength grade based on the mapping relation among the target rock hardness comprehensive index, the target rock weathering comprehensive index and the rock strength grade; determining the integrity grade of the target rock mass based on the mapping relation between the integrity comprehensive index of the target rock mass and the integrity grade of the rock mass; and determining the target rock mass quality grade of the rock mass to be detected based on the mapping relation among the target rock strength grade, the target rock mass integrity grade and the rock mass quality grade.
In a third aspect, a device for rapidly evaluating the quality of a rock mass is provided, comprising: the device comprises a memory and a processor, wherein at least one instruction is stored in the memory, and the at least one instruction is loaded and executed by the processor so as to realize the rock mass quality quick evaluation method.
In a fourth aspect, a computer-readable storage medium is provided, which stores a computer program, which when executed by a processor, implements the aforementioned method for rapid evaluation of rock mass quality.
The application provides a method, a device, equipment and a readable storage medium for rapidly evaluating rock mass quality, which comprises the steps of obtaining target while-drilling parameters after a drilling machine drills into a rock mass to be tested, wherein the target while-drilling parameters comprise corresponding audio frequency parameters, vibration parameters, electro-hydraulic parameters, rock characteristic parameters, mineral characteristic parameters, structural plane geometric characteristic parameters and structural plane character characteristic parameters in the drilling process; respectively inputting the target while-drilling parameters into a preset rock hardness degree prediction model, a preset rock weathering degree prediction model and a preset rock integrity degree prediction model to obtain a target rock hardness comprehensive index, a target rock weathering comprehensive index and a target rock integrity comprehensive index; determining a target rock strength grade based on the mapping relation among the target rock hardness comprehensive index, the target rock weathering comprehensive index and the rock strength grade; determining the integrity grade of the target rock mass based on the mapping relation between the integrity comprehensive index of the target rock mass and the integrity grade of the rock mass; and determining the target rock mass quality grade of the rock mass to be detected based on the mapping relation among the target rock strength grade, the target rock mass integrity grade and the rock mass quality grade. According to the method, basic influence factors of the rock mass quality are comprehensively analyzed and divided into three categories of rock hardness degree, rock weathering degree and rock integrity degree, corresponding while-drilling analysis models are established according to characteristic factors in the dividing process of the three categories of models, corresponding comprehensive indexes are obtained for grading, the rock mass quality of a stratum encountered during drilling operation can be obtained in real time, a test result has objectivity and accuracy, and while-drilling, rapid and accurate evaluation of the engineering rock mass quality is achieved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a schematic flow chart of a method for rapidly evaluating rock mass quality provided by an embodiment of the application;
FIG. 2 is a concrete flow diagram of the rock mass quality rapid evaluation method provided by the embodiment of the application;
fig. 3 is a schematic structural diagram of a rock mass quality rapid evaluation device provided by the embodiment of the application;
fig. 4 is a schematic structural diagram of a device for rapidly evaluating rock mass quality provided by the embodiment of the application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
FIG. 1 is a method for rapidly evaluating the quality of a rock mass, which is provided by the embodiment of the application and comprises the following steps:
step S10: acquiring target while-drilling parameters after a drilling machine drills into a rock mass to be measured, wherein the target while-drilling parameters comprise corresponding audio frequency parameters, vibration parameters, electro-hydraulic parameters, rock characteristic parameters, mineral characteristic parameters, structural plane geometric characteristic parameters and structural plane property characteristic parameters in the drilling process;
exemplarily, with the rapid development of a digital drilling test technology, while-drilling parameters such as electro-hydraulic parameters, audio signals, vibration signals, lithology parameters and the like in a drilling process can be monitored and analyzed by adopting digital drilling equipment to establish a correlation between rock mechanical parameters and structural characteristics and the while-drilling parameters, so that the while-drilling, rapid and accurate evaluation of the rock mass quality can be realized. Therefore, in this embodiment, a digital drilling test is performed on a specific underground engineering rock mass, and target drilling parameters corresponding to analysis during drilling operations such as anchor holes, blast holes, advanced exploration holes, geological exploration holes and the like are acquired in real time. The target while-drilling parameters comprise audio frequency parameters, vibration parameters, electro-hydraulic parameters, rock characteristic parameters, mineral characteristic parameters, structural surface geometric characteristic parameters, structural surface property characteristic parameters and the like. The rock characteristic parameters, the mineral characteristic parameters, the structural surface geometric characteristic parameters, the structural surface property characteristic parameters and other while-drilling parameters in the drilling process can be acquired through the lithology analysis instrument.
It is understood that the above-mentioned instruments and devices are only examples, and may be selected according to actual requirements, but should satisfy the technical parameter requirements of the present embodiment, including but not limited to sensitivity, resolution, accuracy, sampling frequency, measuring range, installation size, etc.
Step S20: respectively inputting the target while-drilling parameters into a preset rock hardness degree prediction model, a preset rock weathering degree prediction model and a preset rock integrity degree prediction model to obtain a target rock hardness comprehensive index, a target rock weathering comprehensive index and a target rock integrity comprehensive index;
in an exemplary embodiment, after the target while-drilling parameters are obtained, the target while-drilling parameters are respectively input into the preset rock hardness degree prediction model, the preset rock weathering degree prediction model and the preset rock integrity degree prediction model, and after the relevant processing of each model, the target rock hardness comprehensive index, the target rock weathering comprehensive index and the target rock integrity comprehensive index can be inverted respectively.
Further, before the step of inputting the target while-drilling parameters into a preset rock hardness degree prediction model, a preset rock weathering degree prediction model and a preset rock integrity degree prediction model, respectively, the method further comprises:
acquiring experimental main frequency data and experimental sound pressure amplitude data at a rock breaking while drilling position and experimental vibration acceleration while drilling at a position close to a drill bit through a digital drilling test;
constructing a while-drilling audio frequency sub-model based on the experimental main frequency data and the experimental sound pressure amplitude data;
constructing a vibration while drilling sub model based on the experimental vibration while drilling acceleration;
and constructing and generating a preset rock hardness degree prediction model according to the audio-while-drilling submodel and the vibration-while-drilling submodel.
Wherein, the audio frequency submodel while drilling is as follows:
5, the vibration while drilling submodel is as follows:
the rock hardness degree prediction model comprises the following steps:
RH＝0.5RH 1 +0.5RH 2
in the formula, RH 1 Denotes the first rock hardness index, F (i) denotes the ith experimental principal component frequency data, SP i Represents the experimental sound pressure amplitude data, RH, corresponding to the ith experimental principal component frequency 2 Which is indicative of a second rock hardness index,
and the root mean square value of the experimental vibration acceleration while drilling in the ith direction is shown, a, b, c and d are fitting coefficients, and RH represents a comprehensive index of rock hardness.
Exemplarily, it can be understood that when the engineering rock mass is qualitatively graded, the hardness degree of the rock is mainly judged by a hammer method by a technician, but the method has the problems of strong human subjectivity, rough grading result and the like in the actual engineering. Therefore, in order to solve the problem, in the embodiment, the acoustic frequency information and the vibration information of the rock while drilling are respectively acquired through the acoustic frequency while drilling sub-model and the vibration while drilling sub-model, and then the target rock hardness comprehensive index is acquired through the rock hardness degree prediction model so as to quickly evaluate the rock hardness degree. Therefore, according to the method, the acoustic frequency while drilling sub-model and the vibration while drilling sub-model are constructed according to the results of the digital drilling test experiment, and then the rock hardness degree prediction model is generated.
Specifically, it can be understood that, since the audio signal and the lithology of the stratum are closely related, different rocks have corresponding natural frequencies, the amplitude of the sound wave propagating at the frequency is the largest, and the crispness degree division in the hardness degree of the rock can be realized by analyzing two factors of the frequency and the amplitude. Therefore, in this embodiment, an experimental audio time-domain signal at a rock breaking position of a drill bit is obtained through a digital drilling test experiment, a frequency spectrum analysis is performed on the signal to obtain an experimental principal component frequency data set and an experimental sound pressure amplitude data set corresponding to the experimental principal component frequency data set, and a while-drilling audio submodel is constructed according to the experimental principal component frequency data set and the experimental sound pressure amplitude data set corresponding to the experimental principal component frequency data set to recognize and classify the crispness degree of the hard degree of the rock, wherein a calculation formula of the while-drilling audio submodel is as follows:
in the formula, RH 1 Denotes the first rock hardness index, F (i) denotes the ith experimental principal component frequency data, SP i And the experimental sound pressure amplitude data corresponding to the ith experimental principal component frequency is represented, n is the number of the preset principal component frequencies, and a and b are fitting coefficients.
The experimental principal component frequency data set is a data set formed by a plurality of principal component characteristic frequencies related to hard properties of rocks; the preset number n of the principal component frequencies is related to the accuracy of description of rock properties, the more the number is, the higher the refinement degree of the description of the rock properties is, in this embodiment, 5 principal component frequency data can be preferably adopted, and the range of the principal component frequency data is 5000-9000 Hz.
It will be appreciated that rock drills undergo impact and rebound at the rock surface during drilling into the rock, causing the drill to vibrate, and that the vibration of the drill tool during drilling has three forms of axial, lateral and torsional vibration, which can be monitored for a range of vibration frequency changes by three-component acceleration sensors. Since the variation amplitude of the acceleration can reflect the energy of broken rocks, the vibration response level of the drilling machine can be calculated through a root mean square value so as to perform time domain evaluation on a vibration signal by using an effective value of the vibration acceleration. For example, in this embodiment, a vibration while drilling sub-model is constructed according to characteristic data of an experimental orthogonal three-way acceleration at a near-bit position, which is obtained through an experimental vibration time domain signal acquired through a digital drilling test experiment, where a calculation formula of the vibration while drilling sub-model is:
in the formula, RH 2 Indicating the second rock hardness index, RMS i And C and d are fitting coefficients.
Note that the root mean square value of the vibration acceleration while drilling
The root mean square value of the vibration acceleration after preprocessing is obtained. Because the vibration of the drilling machine is mainly determined by the drilling tool and the lithology of the drilling tool, the vibration signal generated by the drilling tool has stability, and the vibration influence generated by the drilling machine can be filtered through pretreatment. The pretreatment method can be as follows: extracting vibration signal when the drilling machine idles (does not break rock stratum) through data analysis, and drilling the drilling machine into broken rock
The vibration signal at time is reduced with the vibration signal at idle of the drilling machine to obtain a vibration signal which is only related to the rock property 5. Preferably, the x direction of the three-way vibration acceleration corresponds to the radial direction of the cross section of the drill rod, the y direction corresponds to the tangential direction of the cross section of the drill rod, and the z direction corresponds to the axial direction of the drill rod.
Then, a preset rock hardness degree prediction model can be constructed and generated through the audio-while-drilling submodel and the vibration-while-drilling submodel, namely a first rock hardness index corresponding to the audio-while-drilling submodel
RH 1 A second rock hardness index RH corresponding to the vibration while drilling submodel 2 Substituting the formula of the calculation formula 0 into the formula to obtain the target rock hardness comprehensive index RH:
RH＝0.5RH 1 +0.5RH 2
in addition, it should be noted that the fitting coefficients a, b, c and d can be determined by digital drilling tests and rock mechanics tests corresponding to the first preset working condition, and the specific steps include numbers
The method comprises the following steps of word drilling testing, data processing while drilling, rock strength testing and model analysis while drilling. Wherein, the 5 first preset working conditions refer to different lithology types (sedimentary rock, magma rock and metamorphic rock) and different hardness degrees (uniaxial compressive strength of rock is 5MPa < R) c < 300 MPa) intact non-weathered rock.
The following explanation will be given by taking the determination process of the fitting coefficients a and b as an example: firstly, selecting a plurality of representative intact undegraded sedimentary rocks and rocks with different lithology categories
Serous, metamorphic, with R for rocks of different degrees of hardness c Selecting complete non-weathered rocks with different strengths of 0MPa at intervals, then carrying out a digital drilling test corresponding to a first preset working condition, collecting audio frequency time domain signals in the drilling process, and acquiring a principal component frequency data set F (i) and a sound pressure amplitude data set SP corresponding to the principal component frequency data set F (i) i Secondly, carrying out a rock strength test on the rock sample subjected to the drilling test to obtain the uniaxial compressive strength R of the rock sample c Finally, a main algorithm is established through a least square method and other fitting algorithms
Component frequency data set F (i) and corresponding sound pressure amplitude data set SP i Single 5-axis compressive strength R of experimental rock c And obtaining the audio frequency submodel while drilling, namely determining the fitting coefficients a and b. Therefore, the digital drilling test corresponding to the complete un-weathered rock with different representative lithology types and different hardness degrees is implemented, the audio data and the vibration data while drilling are obtained, the hardness degree of the rock is further predicted, the brittleness degree and the resilience degree of the rock encountered by the drill are evaluated, and the digital drilling test has the advantages of being fast, real-time, objective, accurate and the like compared with manual hammering recognition.
Further, before the step of inputting the target while-drilling parameters into a preset rock hardness degree prediction model, a preset rock weathering degree prediction model and a preset rock integrity degree prediction model, respectively, the method further comprises:
acquiring experimental characteristic element information and experimental structure construction information corresponding to drilling rocks, and experimental component characteristic information and experimental spectral data information corresponding to drilling minerals through a digital drilling test;
constructing a rock structure sub-model based on the experimental characteristic element information and the experimental structure construction information;
constructing a mineral alteration sub-model based on the experimental component characteristic information and the experimental spectral data information;
and constructing and generating a preset rock weathering degree prediction model according to the rock structure submodel and the mineral alteration submodel.
Wherein the preset rock weathering degree prediction model is as follows:
RW＝0.5δ SC +0.5λ CA
in the formula, RW represents the rock weathering index, delta SC Representing the structural variation of the rock, λ CA Indicating the amount of change in the color of the mineral components.
Exemplarily, it can be understood that in the qualitative grading of the engineered rock mass, the degree of rock efflorescence mainly takes into account the degree of structural damage, mineral alteration and color change of the rock. Therefore, in this embodiment, the structural structure variation of the drilling rock and the component color variation of the drilling mineral are respectively obtained through a rock structure submodel and a mineral alteration submodel, and then the target rock weathering comprehensive index is obtained through a preset rock weathering degree prediction model, so as to quickly evaluate the rock weathering degree.
In the embodiment, a rock structure sub-model is constructed by using experimental characteristic element information and experimental structure information of drilling rocks, which are obtained through rock slag in the drilling process, wherein it should be noted that characteristic elements mainly refer to elements contained in rock components, such as silicon, magnesium, calcium and the like; specifically, the rock structure variation delta corresponding to the rock structure submodel SC The calculation method comprises the following steps: firstly, determining the lithology category of the drilling rock according to characteristic elements in the experimental characteristic element information of the drilling rock, and then determiningThe structure in the experimental structure information of the rock is met to the brill of having decided lithology classification compares with the structure of corresponding rock in presetting the database, and then confirms to bore the structure change volume of meeting the rock. Wherein, the value standard of the rock structure variable quantity is shown in table 1:
TABLE 1 rock structure variation
It is understood that any rock has its own structure and structure, and the structure are determined by the generation environment or condition of the rock, and the weathering of the rock causes the structural structure to change, so the embodiment determines the weathering degree of the rock through the change of the structural structure of the rock. The method comprises the following specific steps: firstly, building a structural structure database of fresh rocks of various types, then matching characteristic elements of drilling rocks with characteristic elements of all rocks in the database to determine the types of the drilling rocks, and finally comparing the structural structure of the drilling rocks with the structural structure of corresponding rocks in the database to determine the structural structure variation of the drilling rocks; for example, when the structure of the rock encountered by drilling is the same as the structure of the corresponding rock in the database, that is, the rock quality is fresh, the comparison result is "completely unchanged", and therefore, the variation of the structure of the rock is greater than 80; when the drilled rock is shown to have disintegrated and decomposed into loose soil or sand compared with the structural configuration of the corresponding rock in the database, the comparison result is "total damage", and therefore the structural variation of the rock is less than 20.
Note that the rock structure change amount δ SC The upper and lower limits of the interval (2) may be determined according to actual conditions, and are not limited herein. In addition, the rock structure variation delta of the drilling rock is determined according to the comparison result SC After the interval, a specific value can be determined from the corresponding interval according to actual requirements to serve as the rock structure variation delta SC And is not limited thereto. For example, the rock structure variation δ SC 20 to 40, and the average value 30 of the interval is taken as the rock structure change amount delta SC The value of (a).
In addition, in the embodiment, a mineral alteration sub-model is constructed by acquiring experimental component characteristic information and experimental spectral data information of the drilling mineral through rock powder in the drilling process; specifically, the mineral alteration submodel corresponds to the component color variation lambda of the mineral CA The calculation method comprises the following steps: firstly, determining the component classification of the drilling mineral according to the component content in the experimental component characteristic information of the drilling mineral, and then comparing the spectral data in the experimental spectral data information of the drilling mineral with the spectral data of the corresponding mineral in the database to further determine the component color variation of the drilling mineral; wherein, the value standard of the color variation of the mineral components is shown in the table 2:
TABLE 2 amount of change in color of mineral component
It can be understood that rock efflorescence not only destroys the structure of the original rock, but also changes the composition and color of the original rock mineral and generates altered mineral, so the embodiment determines the efflorescence degree of the rock through the color change of the mineral. The method comprises the following specific steps: firstly, establishing a component color database of fresh minerals of various types, then matching the component content of the drilling mineral with the component content of all the minerals in the database to determine the type of the drilling mineral, and finally comparing the spectral data of the drilling mineral with the spectral data of the corresponding minerals in the database to determine the component color variation lambda of the drilling mineral CA 。
Wherein, when the drilling mineral is compared with the component color of the corresponding mineral in the database, the mineral is totally discolored and the luster disappears, and when most of the minerals except the quartz particles are changed into secondary minerals, the comparison result is 'complete change', so the color change quantity of the mineral component is less than 20; when the components and the color are obviously changed, and the feldspar, the mica and the iron-magnesium minerals are weathered and corroded, the comparison result is obviously changed, so that the color change amount of the mineral components is 20-40; when the compositions and the color are obviously changed and the iron and manganese are weathered and corroded, the comparison result is more obviously changed, so that the color change amount of the mineral compositions is 40-60; when the components and the color are basically unchanged, the iron and manganese parts are rendered or slightly discolored, the contrast result is basically unchanged, so the color change amount of the mineral components is 60-80; on the other hand, if the components and the color are not changed, the contrast result is completely unchanged, and the color change amount of the mineral components is more than 80.
The amount of change in color of the mineral component is λ CA The upper and lower limits of the interval (2) may be determined according to actual conditions, and are not limited herein. In addition, the color change amount lambda of the mineral composition of the drilled rock is determined according to the comparison result CA After the interval, a specific value can be determined from the corresponding interval according to actual requirements as the color variation lambda of the mineral component CA And is not limited thereto. For example, the amount of change in color of the mineral component λ CA 60-80, taking the average value 70 of the interval as the color variation lambda of the mineral component CA The value of (a).
Further, before the step of inputting the target while-drilling parameters into the preset rock hardness degree prediction model, the preset rock weathering degree prediction model and the preset rock integrity degree prediction model, respectively, the method further comprises:
acquiring the corresponding experimental structural surface group number and experimental average interval in the drilling process, experimental revolving pressure, experimental drilling speed and experimental bit torque through a digital drilling test;
constructing a development degree sub-model based on the number of the groups of the experimental structural surfaces and the experimental average interval;
constructing a binding degree sub-model based on the experimental revolving pressure, the experimental drilling speed and the experimental drill bit torque;
and constructing and generating a preset rock integrity prediction model according to the development degree sub-model and the combination degree sub-model.
The preset rock integrity degree prediction model is as follows:
in the formula, RI represents the complete comprehensive index of rock mass,
representing the degree of development of the structural plane, eta AP Representing the bonding degree value of the structural surface;
the value of the degree of bonding eta of the structural surface AP The calculation formula of (c) is:
in the formula: x 1 Indicating the value of the gyration pressure, X 2 Indicates the drilling speed value, X 3 Representing the bit torque value, W 1 Weight value, W, representing the swing pressure 2 Weight value, W, representing the rate of penetration 3 Weight values representing bit torque, e and f are fitting coefficients.
Exemplarily, it can be understood that, when the engineering rock mass is qualitatively graded, the rock mass integrity degree mainly considers the development degree of the structural surface and the combination degree of the structural surface, so in this embodiment, the development degree submodel and the combination degree submodel respectively obtain the development degree of the structural surface and the combination degree of the structural surface of the rock mass, and further obtain the target rock mass integrity comprehensive index through the preset rock mass integrity degree prediction model, so as to quickly evaluate the rock mass integrity degree.
It should be understood that the geometric features of the structural surface may be comprehensively expressed as the development degree of the structural surface, and the development degree of the structural surface includes the number of groups of the structural surface and the average distance, so that the embodiment constructs the development degree sub-model according to the number of groups of the experimental structural surface and the average distance obtained by the drilling panoramic image in the drilling process; specifically, the development degree value of the structural plane corresponding to the development degree sub-model
The calculating method comprises the following steps: firstly, a drilling panoramic three-dimensional image is unfolded into a planar two-position image, and then the number of structural surface groups and the average spacing are obtained through image preprocessing, area positioning, edge detection, edge extraction and sine function fitting, so that the development degree value of the structural surface is determined.
The value standard of the development degree value of the structural surface is shown in Table 3:
TABLE 3 structural surface development degree values
The values of the degrees of structural development are
The upper and lower limits of the interval (2) may be determined according to actual conditions, and are not limited herein. In addition, the development degree value of the structural surface is determined according to the group number and the average spacing of the structural surface
After the interval, a specific value can be determined from the corresponding interval according to actual requirements to be used as a structural plane development degree value
And is not limited herein. For example, the value of the degree of development of structural planes
60-80, taking the average value 70 of the interval as the development degree value of the structural plane
The value of (c).
In addition, in the embodiment, a sub-model of the binding degree is constructed according to experimental electrohydraulic parameters (including experimental rotary pressure, experimental drilling speed and experimental drill bit torque) obtained in the drilling process, so as to obtain the binding degree of the structural surface; in particular, the method comprises the following steps of,degree of integration η of structural surface AP The calculation formula of (2) is as follows:
in the formula: x 1 Represents the experimental gyration pressure value, X 2 Represents the experimental drilling speed value, X 3 Represents the experimental bit torque value, W 1 Weight value, W, representing experimental gyration pressure 2 Weight value, W, representing the experimental rate of penetration 3 The weight value of the experimental drill torque is represented, pi X represents the cumulative product of the variable X, and e and f are fitting coefficients.
The fitting coefficients e and f can be determined through a digital drilling test corresponding to a second preset working condition, and the specific steps comprise the digital drilling test, while-drilling data processing and while-drilling model analysis; the second preset working condition refers to the structural plane rock mass with different opening degrees, rough conditions, filler properties and properties. The determination of the fitting coefficients e, f will be explained below: firstly, carrying out digital drilling test corresponding to a second preset working condition aiming at a structural plane rock mass with known opening degree, rough condition and filling, and then collecting rotary pressure X in the drilling process 1 Drilling speed X 2 Torque X of drill bit 3 Waiting the parameters while drilling, and then determining the weighted values W of the parameters while drilling by adopting an unsteady index analysis method i Finally, establishing a parameter X while drilling through a fitting algorithm such as a least square method i And its corresponding weighted value W i Structural plane combination degree value eta of 'and' test rock mass AP "to determine the fitting coefficients e, f, and then to generate the sub-model of the binding degree.
The value standard of the structural surface bonding degree is shown in table 4:
TABLE 4 structural surface bonding degree values
Description
It can be understood that, since the drilling process is controlled by adjusting the bit pressure and the rotation speed during the drilling process by the technician, while the drilling parameters such as the rotation pressure, the drilling speed, the bit torque and the like are passive adjustment parameters related to the lithology during drilling, the embodiment acquires the corresponding adaptive parameter X by performing the digital drilling test on the structural plane rock masses with different combination degrees i I.e. determine the corresponding A in Table 4 i ～D i So as to establish the structural plane combination degree value eta of the test rock mass AP "AND" corresponding adaptive while drilling parameter X i And weight value W thereof i "to determine the sub-model of the degree of combination, and further evaluate the geometrical characteristics of the rock mass structural plane.
It should be noted that the value of the degree of structural surface binding eta AP The upper and lower limits of the interval (2) may be determined according to actual conditions, and are not limited herein. In addition, the structural surface binding degree value eta is determined according to the rotary pressure, the drilling speed and the drill bit torque AP After the interval, a specific value can be determined from the corresponding interval according to actual requirements to serve as a structural surface combination degree value eta AP And is not limited thereto. For example, the degree of integration η of structural surfaces AP 25 to 50, and the average value of the interval of 37.5 can be taken as the value eta of the structural surface bonding degree AP The value of (a).
Step S30: determining a target rock strength grade based on the target rock hardness comprehensive index, the target rock weathering comprehensive index and the mapping relation between the rock strength grades;
exemplarily, it can be understood that the rock is subjected to physical and chemical weathering for a long time, so that the rock is loose or loose, the physical and mechanical properties are deteriorated, and the weathering degree of the rock must be considered when determining the strength of the rock. Therefore, in this embodiment, the target rock hardness comprehensive index and the target rock weathering comprehensive index are processed through the rock strength mapping relationship, so that the target rock strength grade corresponding to the rock to be tested can be obtained, and the target rock strength grade can reflect the grade of the hardness degree of the weathered rock. Specifically, the rock strength mapping relationship can be seen in table 5:
TABLE 5 rock strength map
Wherein, the concrete classification of the degree of hardness of the rock and the classification of the degree of weathering of the rock are shown in the following tables 6 and 7:
TABLE 6 rock hardness degree Classification
TABLE 7 rock Weathering degree Classification
The upper and lower limits of the interval between the target rock hardness integrated index RH and the target rock weathering integrated index RW can be determined according to actual circumstances, and are not limited herein.
Step S40: determining the integrity grade of the target rock mass based on the mapping relation between the integrity comprehensive index of the target rock mass and the integrity grade of the rock mass;
exemplarily, it can be understood that the integrity of the rock mass is another important factor determining the quality of the rock mass, the factors affecting the integrity of the rock mass can be divided into two types, i.e., the development degree of the structural plane and the combination degree of the structural plane, the target comprehensive integrity index of the rock mass in this embodiment considers the two types of factors, and the integrity of the rock mass can be divided and named based on the index. Specifically, the rock integrity mapping relationship can be seen in table 8:
TABLE 8 rock integrity mapping relationship
It should be noted that both the upper and lower limit values of the interval of the target rock integrity comprehensive index RI can be determined according to actual conditions, and are not limited herein.
Step S50: and determining the target rock mass quality grade of the rock mass to be detected based on the mapping relation among the target rock strength grade, the target rock mass integrity grade and the rock mass quality grade.
Exemplarily, it can be understood that the rock mass quality is a combination of two classification factors of rock strength and rock integrity, and the qualitative classification of the rock mass quality can be performed according to the combination. In this embodiment, after the target rock strength grade and the target rock mass integrity grade corresponding to the rock mass to be measured are obtained, the target rock mass quality grade can be determined through the first mapping relation among the target rock strength grade, the target rock mass integrity grade and the rock mass quality grade, and then the rock mass quality can be quickly evaluated. Specifically, the mass mapping relationship of rock mass can be seen in table 9:
TABLE 9 rock mass mapping relation
Therefore, referring to fig. 2, in the present embodiment, for the rock strength and rock integrity information in the rock quality evaluation, firstly, a digital drilling test and a rock mechanics test are performed to determine six sub models: dividing a rock hardness degree while-drilling acoustic frequency sub-model and a rock hardness degree while-drilling vibrator model, a rock structure sub-model and a mineral alteration sub-model of a rock weathering degree, a development degree sub-model and a combination degree sub-model of a rock integrity degree; secondly, after digital drilling is implemented in specific engineering, the acquired target drilling parameters are substituted into the submodel to respectively obtain a target rock hardness comprehensive index RH, a target rock weathering comprehensive index RW and a target rock integrity comprehensive index RI, then the target rock hardness comprehensive index RH and the target rock weathering comprehensive index RW are substituted into a mapping relation corresponding to the rock strength grade to determine a target rock strength grade, the target rock integrity comprehensive index RI is substituted into a mapping relation corresponding to the rock quality grade to determine the target rock integrity grade, and finally the target rock strength grade and the target rock integrity grade are substituted into a mapping relation corresponding to the rock quality grade to determine the target rock quality grade so as to realize rapid evaluation of the rock quality.
In conclusion, the embodiment obtains the rock strength parameter and the rock integrity information by monitoring and analyzing the drilling parameters such as the acoustic frequency parameter, the vibration parameter, the electro-hydraulic parameter, the rock characteristic parameter, the mineral characteristic parameter, the structural surface geometric characteristic parameter, the structural surface property characteristic parameter and the like in the drilling process in real time, and further rapidly evaluates the quality of the engineering rock mass. The basic influence factors of rock mass quality grading are comprehensively considered, the rock hardness degree integrates the rock brittleness degree and the resilience degree, the rock weathering degree integrates the structural structure change of the rock and the component color change of minerals, the rock strength parameter integrates the rock hardness degree and the weathering degree, the rock integrity degree integrates the structural surface combination degree and the development degree, the rock mass quality of the stratum encountered during drilling operation can be obtained, the engineering rock mass quality can be quickly and accurately evaluated while drilling, and the evaluation result can be used in the technical fields of excavation design, support optimization, deformation control and the like of underground engineering.
Referring to fig. 3, an embodiment of the present application further provides a device for rapidly evaluating rock mass quality, including:
the device comprises a parameter acquisition unit, a parameter acquisition unit and a parameter acquisition unit, wherein the parameter acquisition unit is used for acquiring target while-drilling parameters after a drilling machine drills into a rock mass to be detected, and the target while-drilling parameters comprise corresponding audio frequency parameters, vibration parameters, electro-hydraulic parameters, rock characteristic parameters, mineral characteristic parameters, structural surface geometric characteristic parameters and structural surface property characteristic parameters in the drilling process;
the index prediction unit is used for respectively inputting the target while-drilling parameters into a preset rock hardness degree prediction model, a preset rock weathering degree prediction model and a preset rock integrity degree prediction model to obtain a target rock hardness comprehensive index, a target rock weathering comprehensive index and a target rock integrity comprehensive index;
the quality evaluation unit is used for determining a target rock strength grade based on the mapping relation among the target rock hardness comprehensive index, the target rock weathering comprehensive index and the rock strength grade; determining the integrity grade of the target rock mass based on the mapping relation between the integrity comprehensive index of the target rock mass and the integrity grade of the rock mass; and determining the target rock mass quality grade of the rock mass to be detected based on the mapping relation among the target rock strength grade, the target rock mass integrity grade and the rock mass quality grade.
Further, the apparatus further comprises a model construction unit configured to:
acquiring experiment main frequency data and experiment sound pressure amplitude data at a rock breaking while drilling position and experiment vibration acceleration while drilling at a position close to a drill bit through a digital drilling test;
constructing a while-drilling audio frequency sub-model based on the experimental main frequency data and the experimental sound pressure amplitude data;
constructing a vibration while drilling sub model based on the experimental vibration while drilling acceleration;
and constructing and generating a preset rock hardness degree prediction model according to the while-drilling acoustic frequency sub-model and the while-drilling vibration sub-model.
Further, the audio while drilling submodel is as follows:
the vibration while drilling sub-model comprises the following steps:
the rock hardness degree prediction model comprises the following steps:
RH＝0.5RH 1 +0.5RH 2
in the formula, RH 1 Denotes the first rock hardness index, F (i) denotes the ith experimentPrincipal component frequency data, SP i Represents the experimental sound pressure amplitude data, RH, corresponding to the ith experimental principal component frequency 2 Which is indicative of a second rock hardness index,
and the root mean square value of the experimental vibration acceleration while drilling in the ith direction is shown, a, b, c and d are fitting coefficients, and RH represents a comprehensive index of rock hardness.
Further, the model building unit is further configured to:
acquiring experimental characteristic element information and experimental structure construction information corresponding to drilling rocks, and experimental component characteristic information and experimental spectral data information corresponding to drilling minerals through a digital drilling test;
constructing a rock structure sub-model based on the experimental characteristic element information and the experimental structure construction information;
constructing a mineral alteration sub-model based on the experimental component characteristic information and the experimental spectral data information;
and constructing and generating a preset rock weathering degree prediction model according to the rock structure submodel and the mineral alteration submodel.
Further, the preset rock weathering degree prediction model is as follows:
RW＝0.5δ SC +0.5λ CA
in the formula, RW represents the rock weathering index, delta SC Representing the structural variation of the rock, λ CA Indicating the amount of change in the color of the mineral components.
Further, the model building unit is further configured to:
acquiring the corresponding group number of experimental structural surfaces and the average experimental spacing as well as experimental revolving pressure, experimental drilling speed and experimental drill bit torque in the drilling process through a digital drilling test;
constructing a development degree sub-model based on the number of the groups of the experimental structural surfaces and the experimental average interval;
constructing a binding degree sub-model based on the experimental revolving pressure, the experimental drilling speed and the experimental drill bit torque;
and constructing and generating a preset rock integrity degree prediction model according to the development degree submodel and the combination degree submodel.
Further, the preset rock integrity degree prediction model is as follows:
in the formula, RI represents the complete comprehensive index of rock mass,
representing the degree of development of the structural plane, eta AP Representing the bonding degree value of the structural surface;
the structural surface bonding degree value eta AP The calculation formula of (2) is as follows:
in the formula: x 1 Indicating the value of the gyration pressure, X 2 Indicates the drilling speed value, X 3 Representing the bit torque value, W 1 Weight value, W, representing the swing pressure 2 Weight value, W, representing the rate of penetration 3 Representing the weight value of the torque of the drill bit, wherein Π X represents the cumulative product of the variable X, and e and f are fitting coefficients.
It should be noted that, as will be clearly understood by those skilled in the art, for convenience and simplicity of description, the specific working processes of the apparatus and each unit described above may refer to the corresponding processes in the foregoing embodiments of the method for rapidly evaluating rock mass quality, and details are not described herein again.
The apparatus provided in the above embodiment can be implemented in the form of a computer program which can be run on the rapid rock mass quality evaluation device shown in fig. 4.
The embodiment of this application still provides a quick evaluation equipment of rock mass quality, includes: the rock mass quality rapid evaluation method comprises a memory, a processor and a network interface which are connected through a system bus, wherein at least one instruction is stored in the memory, and the at least one instruction is loaded and executed by the processor, so that all steps or part of steps of the rock mass quality rapid evaluation method are realized.
The network interface is used for performing network communication, such as sending assigned tasks. Those skilled in the art will appreciate that the architecture shown in fig. 4 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
The Processor may be a CPU, other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device discrete hardware components, etc. The general purpose processor may be a microprocessor or the processor may be any conventional processor or the like, the processor being the control center of the computer device and the various interfaces and lines connecting the various parts of the overall computer device.
The memory may be used to store computer programs and/or modules, and the processor may implement various functions of the computer device by executing or executing the computer programs and/or modules stored in the memory, as well as by invoking data stored in the memory. The memory may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required by at least one function (such as a video playing function, an image playing function, etc.), and the like; the storage data area may store data (such as video data, image data, etc.) created according to the use of the cellular phone, etc. In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
The embodiment of the application also provides a computer readable storage medium, wherein a computer program is stored on the computer readable storage medium, and when the computer program is executed by a processor, all or part of the steps of the rock mass quality rapid evaluation method are realized.
The embodiments of the present application may implement all or part of the foregoing processes, or may be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the computer program may implement the steps of the foregoing methods. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying computer program code, recording medium, U.S. disk, removable hard disk, magnetic diskette, optical disk, computer memory, read-Only memory (ROM), random Access Memory (RAM), electrical carrier wave signal, telecommunications signal, software distribution medium, etc. It should be noted that the computer readable medium may contain other components which may be suitably increased or decreased as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, in accordance with legislation and patent practice, the computer readable medium does not include electrical carrier signals and telecommunications signals.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, server, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrases "comprising a," "8230," "8230," or "comprising" does not exclude the presence of other like elements in a process, method, article, or system comprising the element.
The previous description is only an example of the present application, and is provided to enable any person skilled in the art to understand or implement the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A method for rapidly evaluating the quality of a rock mass is characterized by comprising the following steps:
acquiring target while-drilling parameters after a drilling machine drills into a rock mass to be measured, wherein the target while-drilling parameters comprise corresponding audio frequency parameters, vibration parameters, electro-hydraulic parameters, rock characteristic parameters, mineral characteristic parameters, structural plane geometric characteristic parameters and structural plane property characteristic parameters in the drilling process;
respectively inputting the target while-drilling parameters into a preset rock hardness degree prediction model, a preset rock weathering degree prediction model and a preset rock integrity degree prediction model to obtain a target rock hardness comprehensive index, a target rock weathering comprehensive index and a target rock integrity comprehensive index;
determining a target rock strength grade based on the mapping relation among the target rock hardness comprehensive index, the target rock weathering comprehensive index and the rock strength grade;
determining the integrity grade of the target rock mass based on the mapping relation between the integrity comprehensive index of the target rock mass and the integrity grade of the rock mass;
and determining the target rock mass quality grade of the rock mass to be detected based on the mapping relation among the target rock strength grade, the target rock mass integrity grade and the rock mass quality grade.
2. The method for rapidly evaluating the rock mass quality according to claim 1, wherein before the step of inputting the target while-drilling parameters into the preset rock hardness degree prediction model, the preset rock weathering degree prediction model and the preset rock integrity degree prediction model respectively, the method further comprises the following steps:
acquiring experiment main frequency data and experiment sound pressure amplitude data at a rock breaking while drilling position and experiment vibration acceleration while drilling at a position close to a drill bit through a digital drilling test;
constructing a while-drilling audio frequency sub-model based on the experimental main frequency data and the experimental sound pressure amplitude data;
constructing a vibration while drilling sub model based on the experimental vibration while drilling acceleration;
and constructing and generating a preset rock hardness degree prediction model according to the while-drilling acoustic frequency sub-model and the while-drilling vibration sub-model.
3. The method for rapidly evaluating the quality of a rock mass according to claim 2, wherein the audio frequency while drilling submodel is as follows:
the vibration while drilling sub-model comprises the following steps:
the rock hardness degree prediction model comprises the following steps:
RH＝0.5RH 1 +0.5RH 2
in the formula, RH 1 Denotes the first rock hardness index, F (i) denotes the ith experimental principal component frequency data, SP i Represents the experimental sound pressure amplitude data, RH, corresponding to the ith experimental principal component frequency 2 Which is indicative of a second rock hardness index,
and (3) representing the root mean square value of the experimental vibration acceleration while drilling in the ith direction, wherein a, b, c and d are fitting coefficients, and RH represents a comprehensive index of rock hardness.
4. The method for rapidly evaluating the quality of a rock mass according to claim 1, wherein before the step of inputting the target while-drilling parameters into the preset rock hardness degree prediction model, the preset rock efflorescence degree prediction model and the preset rock integrity degree prediction model, respectively, the method further comprises:
acquiring experimental characteristic element information and experimental structure construction information corresponding to drilling rocks, and experimental component characteristic information and experimental spectral data information corresponding to drilling minerals through a digital drilling test;
constructing a rock structure sub-model based on the experimental characteristic element information and the experimental structure construction information;
constructing a mineral alteration sub-model based on the experimental component characteristic information and the experimental spectral data information;
and constructing and generating a preset rock weathering degree prediction model according to the rock structure submodel and the mineral alteration submodel.
5. The method for rapidly evaluating the rock mass quality according to claim 4, wherein the preset rock weathering degree prediction model is as follows:
RW＝0.5δ SC +0.5λ CA
in the formula, RW represents the rock weathering index, delta SC Representing the structural variation of the rock, λ CA Indicating the amount of change in the color of the mineral components.
6. The method for rapidly evaluating the quality of a rock mass according to claim 1, wherein before the step of inputting the target while-drilling parameters into the preset rock hardness degree prediction model, the preset rock efflorescence degree prediction model and the preset rock integrity degree prediction model, respectively, the method further comprises:
acquiring the corresponding experimental structural surface group number and experimental average interval in the drilling process, experimental revolving pressure, experimental drilling speed and experimental bit torque through a digital drilling test;
constructing a development degree sub-model based on the number of the groups of the experimental structural surfaces and the experimental average interval;
constructing a combination degree sub-model based on the experiment revolving pressure, the experiment drilling speed and the experiment drill bit torque;
and constructing and generating a preset rock integrity degree prediction model according to the development degree submodel and the combination degree submodel.
7. The method for rapidly evaluating the quality of the rock mass according to claim 6, wherein the preset model for predicting the integrity of the rock mass is as follows:
in the formula, RI represents the complete comprehensive index of rock mass,
representing the value of the developmental degree of a structural plane, eta AP Representing the bonding degree value of the structural surface;
the structural surface bonding degree value eta AP The calculation formula of (2) is as follows:
in the formula: x 1 Indicating the value of the gyration pressure, X 2 Indicates the drilling speed value, X 3 Representing the bit torque value, W 1 Weight value, W, representing the swing pressure 2 Weight value, W, representing the rate of penetration 3 Representing the weight value of the bit torque, n X represents the product of the multiplication of the variable X, and e and f are fitting coefficients.
8. A rock mass quality rapid evaluation device is characterized by comprising:
the device comprises a parameter acquisition unit, a parameter acquisition unit and a parameter acquisition unit, wherein the parameter acquisition unit is used for acquiring target while-drilling parameters after a drilling machine drills into a rock mass to be tested, and the target while-drilling parameters comprise corresponding audio parameters, vibration parameters, electro-hydraulic parameters, rock characteristic parameters, mineral characteristic parameters, structural surface geometric characteristic parameters and structural surface property characteristic parameters in a drilling process;
the index prediction unit is used for respectively inputting the target while-drilling parameters into a preset rock hardness degree prediction model, a preset rock weathering degree prediction model and a preset rock integrity degree prediction model to obtain a target rock hardness comprehensive index, a target rock weathering comprehensive index and a target rock integrity comprehensive index;
the quality evaluation unit is used for determining a target rock strength grade based on the mapping relation among the target rock hardness comprehensive index, the target rock weathering comprehensive index and the rock strength grade; determining the integrity grade of the target rock mass based on the mapping relation between the integrity comprehensive index of the target rock mass and the integrity grade of the rock mass; and determining the target rock mass quality grade of the rock mass to be detected based on the mapping relation among the target rock strength grade, the target rock mass integrity grade and the rock mass quality grade.
9. A rock mass quality rapid evaluation equipment is characterized by comprising: a memory and a processor, wherein at least one instruction is stored in the memory, and the at least one instruction is loaded and executed by the processor to realize the rock mass quality rapid evaluation method in any one of claims 1 to 7.
10. A computer-readable storage medium characterized by: the computer-readable storage medium stores a computer program which, when executed by a processor, implements the method of rapidly evaluating rock mass quality of any one of claims 1 to 7.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116913416A (en) * | 2023-09-12 | 2023-10-20 | 中国地质大学（北京） | Quantitative evaluation and prediction method and device for weathering degree of sea rock |
| CN117710747A (en) * | 2023-12-25 | 2024-03-15 | 中交路桥科技有限公司 | Tunnel surrounding rock rapid grading method and device, electronic equipment and storage medium |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116913416A (en) * | 2023-09-12 | 2023-10-20 | 中国地质大学（北京） | Quantitative evaluation and prediction method and device for weathering degree of sea rock |
| CN116913416B (en) * | 2023-09-12 | 2023-12-26 | 中国地质大学（北京） | Quantitative evaluation and prediction method and device for weathering degree of sea rock |
| CN117710747A (en) * | 2023-12-25 | 2024-03-15 | 中交路桥科技有限公司 | Tunnel surrounding rock rapid grading method and device, electronic equipment and storage medium |
| CN117710747B (en) * | 2023-12-25 | 2024-05-14 | 中交路桥科技有限公司 | Tunnel surrounding rock rapid grading method and device, electronic equipment and storage medium |
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