CN112444449B - An accurate method for calculating the tensile strength of rock based on microscopic failure type analysis - Google Patents

An accurate method for calculating the tensile strength of rock based on microscopic failure type analysis Download PDF

Info

Publication number
CN112444449B
CN112444449B CN202011283283.7A CN202011283283A CN112444449B CN 112444449 B CN112444449 B CN 112444449B CN 202011283283 A CN202011283283 A CN 202011283283A CN 112444449 B CN112444449 B CN 112444449B
Authority
CN
China
Prior art keywords
rock
acoustic emission
main frequency
tensile strength
emission signal
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202011283283.7A
Other languages
Chinese (zh)
Other versions
CN112444449A (en
Inventor
张正虎
梁正召
唐春安
唐世斌
马克
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Dalian University of Technology
Original Assignee
Dalian University of Technology
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Dalian University of Technology filed Critical Dalian University of Technology
Priority to CN202011283283.7A priority Critical patent/CN112444449B/en
Publication of CN112444449A publication Critical patent/CN112444449A/en
Application granted granted Critical
Publication of CN112444449B publication Critical patent/CN112444449B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • 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
    • G01N3/08Investigating strength properties of solid materials by application of mechanical stress by applying steady tensile or compressive forces
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N29/00Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
    • G01N29/14Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object using acoustic emission techniques
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N29/00Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
    • G01N29/44Processing the detected response signal, e.g. electronic circuits specially adapted therefor
    • G01N29/449Statistical methods not provided for in G01N29/4409, e.g. averaging, smoothing and interpolation
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N29/00Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
    • G01N29/44Processing the detected response signal, e.g. electronic circuits specially adapted therefor
    • G01N29/46Processing the detected response signal, e.g. electronic circuits specially adapted therefor by spectral analysis, e.g. Fourier analysis or wavelet analysis
    • 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
    • G01N3/02Details
    • G01N3/06Special adaptations of indicating or recording means
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2203/00Investigating strength properties of solid materials by application of mechanical stress
    • G01N2203/0014Type of force applied
    • G01N2203/0016Tensile or compressive
    • G01N2203/0017Tensile
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2203/00Investigating strength properties of solid materials by application of mechanical stress
    • G01N2203/02Details not specific for a particular testing method
    • G01N2203/026Specifications of the specimen
    • G01N2203/0298Manufacturing or preparing specimens
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2203/00Investigating strength properties of solid materials by application of mechanical stress
    • G01N2203/02Details not specific for a particular testing method
    • G01N2203/06Indicating or recording means; Sensing means
    • G01N2203/0658Indicating or recording means; Sensing means using acoustic or ultrasonic detectors
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2291/00Indexing codes associated with group G01N29/00
    • G01N2291/02Indexing codes associated with the analysed material
    • G01N2291/023Solids
    • G01N2291/0232Glass, ceramics, concrete or stone
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2291/00Indexing codes associated with group G01N29/00
    • G01N2291/02Indexing codes associated with the analysed material
    • G01N2291/028Material parameters
    • G01N2291/02827Elastic parameters, strength or force

Landscapes

  • Physics & Mathematics (AREA)
  • Immunology (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Pathology (AREA)
  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Signal Processing (AREA)
  • Acoustics & Sound (AREA)
  • Probability & Statistics with Applications (AREA)
  • Mathematical Physics (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Investigating Strength Of Materials By Application Of Mechanical Stress (AREA)

Abstract

一种基于微观破坏类型分析的精确求解岩石抗拉强度的方法,属于岩石力学与岩土工程领域。首先,岩石试样上下方均匀设置声发射传感器,采用岩石力学试验机对岩石试样进行直接拉伸试验,并进行全过程声发射实时监测。其次,提取声发射信号的主频,统计声发射信号在不同主频带的能量占比,获得低主频集中带声发射信号的能量占比。再次,获得一组岩石试样的低主频集中带声发射信号能量占比与其峰值强度之间的统计关系,进行线性拟合并作出趋势线。最后,将第趋势线向外做延长线与低主频集中带声发射信号能量占比为1的垂直线的交点即为此类岩石的抗拉强度。本发明能够提高岩石抗拉强度求解的准确性,求解的直接拉伸强度可以作为岩石工程的一个保守设计参数。

Figure 202011283283

A method for accurately solving the tensile strength of rock based on microscopic failure type analysis belongs to the field of rock mechanics and geotechnical engineering. First of all, acoustic emission sensors are evenly arranged above and below the rock sample, and a rock mechanics testing machine is used to conduct a direct tensile test of the rock sample, and the whole process of real-time monitoring of acoustic emission is carried out. Secondly, the main frequency of the acoustic emission signal is extracted, the energy ratio of the acoustic emission signal in different main frequency bands is counted, and the energy ratio of the low main frequency concentrated acoustic emission signal is obtained. Thirdly, the statistical relationship between the energy ratio of the acoustic emission signal in the low dominant frequency concentrated zone and its peak intensity of a group of rock samples is obtained, and a linear fitting is performed to draw a trend line. Finally, the intersection point of extending the first trend line to the outside and the vertical line where the energy ratio of the acoustic emission signal in the low dominant frequency concentrated band is 1 is the tensile strength of this type of rock. The invention can improve the accuracy of solving the rock tensile strength, and the solved direct tensile strength can be used as a conservative design parameter of rock engineering.

Figure 202011283283

Description

Method for accurately solving tensile strength of rock based on microscopic damage type analysis
Technical Field
The invention belongs to the field of rock mechanics and geotechnical engineering, and relates to a method for accurately solving tensile strength of rocks, which is suitable for measuring tensile strength of various rocks encountered in civil engineering, hydraulic and hydroelectric engineering, mineral engineering and traffic engineering.
Background
Rock tensile strength refers to the maximum tensile stress that the rock can withstand when it reaches failure under tensile loading. Rock has a much lower tensile strength than its compressive strength and is typically a brittle material that is not resistant to compression and tension. In the projects of underground chamber construction, rock slope excavation, rock drilling blasting and the like, rock destruction often originates from the initiation and development of crack pulling. The problem of deformation and damage of the rock under the action of tensile load is always a basic scientific problem in the fields of rock mechanics and geotechnical engineering. The tensile strength of the rock is an important mechanical parameter, and the accurate measurement of the tensile strength has important scientific significance and engineering value for the stable evaluation of the rock engineering design, construction and maintenance whole-life process.
The existing tests for rock tensile strength determination include direct tensile tests and indirect tensile tests. The direct tensile test has definite physical significance, relatively accords with the actual condition that the rock bears tensile load, and has relatively stable test result. Therefore, direct tensile testing has found wide application in engineering practice. However, since rock is a natural geological material with a complex internal structure, the rock contains a plurality of microstructures such as cavities and pores, and the microstructure causes the micro-damage process and mechanism of the rock to be complex. Even if the rock macroscopically exhibits tensile failure, it may also microscopically contain shear failure or mixed mode failure. The existing test method for measuring the tensile strength of the rock, including a direct tensile test and a Brazilian split test which are widely used, cannot realize a pure tensile loading condition on the rock sample. Thus, there is no complete tensile failure in the current test methods, and the peak strength obtained directly from the direct tensile test does not represent the "ideal" tensile strength of the rock.
Therefore, the invention provides a method for accurately solving the tensile strength of the rock based on microscopic damage type analysis, and the strength can be used as a conservative design parameter of rock engineering.
Disclosure of Invention
Aiming at the limitations and practical requirements of the existing method, the invention provides a method for accurately solving the tensile strength of the rock according to the statistical analysis of the microscopic damage components of the rock damage, and suggests the strength value as a conservative design parameter of the rock engineering.
In order to achieve the purpose, the invention is realized by the following technical scheme:
a method for accurately solving the tensile strength of a rock based on microscopic damage type analysis is realized based on a rock sample 1, a rock mechanical testing machine, a mechanical control system and an acoustic emission acquisition system; the method comprises the following steps:
in a first step, rock sample 1 was prepared for direct tensile testing.
A cylindrical rock sample 1 is prepared, and an annular induction seam 2 is cut at the middle cross section position of the rock sample 1, so that a better direct tensile test effect can be obtained.
The ratio of the height to the diameter of the rock sample 1 is 2: 1; the width of the annular induction seam 2 accounts for 1-3% of the height of the rock sample 1, and the seam depth accounts for 4-8% of the diameter of the rock sample 1.
And secondly, placing the rock sample 1 in a rock mechanical testing machine, and arranging acoustic emission sensors 3 above and below the rock sample 1, wherein the number of the acoustic emission sensors 3 is more than 4, and the acoustic emission sensors are uniformly and symmetrically fixed on the surface of the cylindrical sample 1. The acoustic emission sensor 3 is connected with an acoustic emission acquisition system, and the rock mechanics testing machine is connected with a mechanics control system. Adopting a rock mechanics testing machine to carry out direct tensile test on a rock sample, and carrying out whole-process acoustic emission real-time monitoring: collecting time and axial force by using a mechanical control system; and the acoustic emission acquisition system is used for recording the waveform data of all acoustic emission signals.
The acoustic emission sensor 3 needs to have a wide frequency response, and the frequency response range should at least be guaranteed to be 10kHz-500 kHz.
And thirdly, extracting the main frequency of the acoustic emission signal. And converting the acquired acoustic emission waveform from a time domain to a frequency domain by adopting Fourier transform to acquire the dominant frequency of all the acoustic emission signals.
And fourthly, counting the energy ratio of the acoustic emission signals in different main frequency bands to obtain the energy ratio of the acoustic emission signals in the low main frequency concentrated band.
The rock acoustic emission signal obtained by indoor test has a wide dominant frequency distribution range. For the convenience of statistical analysis, the main frequency values of the acoustic emission signals need to be subjected to grouping statistics, and the width of each main frequency band is 5-15 kHz. And dividing the acoustic emission signals into different main frequency bands according to the main frequency values, and carrying out energy statistics on the acoustic emission signals of the different main frequency bands. The abscissa is the dominant frequency band number, the ordinate is the energy ratio, a histogram is drawn, and it can be seen that two obvious dominant frequency bands exist, and the dominant frequency bands are defined as a high dominant frequency band and a low dominant frequency band according to the height of the dominant frequency value. And then the energy ratio of the acoustic emission signals in the low main frequency set is counted.
And fifthly, obtaining a statistical relationship between the energy ratio of the low-dominant-frequency concentrated acoustic emission signals of the group of rock samples 1 and the peak intensity of the low-dominant-frequency concentrated acoustic emission signals, drawing a scatter diagram by taking the energy ratio of the low-dominant-frequency concentrated acoustic emission signals as a horizontal coordinate and the peak intensity as a vertical coordinate, and then performing linear fitting and making a trend line.
The group of rock samples refers to rock samples obtained from the same rock core, and the number of the rock samples is more than or equal to 3. Peak intensity (σ) of each rock sample 1max) Is the maximum value (P) of the axial forcemax) Divided by the area (S) of the cross section of the middle of the rock sample 1.
Figure GDA0003178764600000031
Figure GDA0003178764600000032
In the formula, σmaxRepresents the peak intensity; pmaxRepresents the maximum value of the axial force; s represents the area of the middle cross section; d represents the diameter of the rock sample 1; l represents the depth of the circular induction gap 2.
And sixthly, taking the trend line obtained in the fifth step as an outward extension line and taking the intersection point of a vertical line with the energy ratio (abscissa) of the low-dominant-frequency concentrated medium-band acoustic emission signal being 1 (namely 100%) as the tensile strength of the rock. That is, when the percentage of energy of the acoustic emission signal in the low main frequency set reaches 100%, the corresponding fitting peak intensity is the tensile strength of the rock.
The invention has the beneficial effects that: the solving method has definite physical significance, improves the accuracy of solving the rock tensile strength, can be used as a conservative design parameter of rock engineering for solving the direct tensile strength, and can be widely applied to rock mechanical property research in the engineering fields of water conservancy and hydropower, transportation, mineral resource exploitation, underground space development and the like.
Drawings
FIG. 1 is a schematic flow chart of a method for accurately solving the direct tensile strength of the rock provided by the invention;
FIG. 2 is a schematic illustration of a direct tensile test of a rock sample;
FIG. 3 is a typical acoustic emission waveform and its frequency spectrum: (a) is a waveform diagram; (b) is a spectrogram.
FIG. 4 is a histogram of Acoustic Emission (AE) signal energy ratios of different main frequency bands of a rock sample.
FIG. 5 is a schematic diagram of the solution of rock tensile strength.
In the figure: 1, a rock sample; 2, circularly inducing a seam; 3, an acoustic emission sensor; 4 a pull head.
Detailed Description
In order to further explain the technical scheme of the invention, the invention is explained in detail by combining the attached drawings and the embodiment.
As shown in fig. 1, a method for solving the direct tensile strength of rock based on micro-destructive component analysis includes the following steps:
(1) sampling on site, preparing a cylindrical standard rock sample 1 with the height-to-diameter ratio of 2:1 according to a specification, cutting an annular induction seam 2 at the middle cross section of the rock sample 1, and preparing the rock sample 1 for a direct tensile test. The rock type that this embodiment adopted is granite, and cylinder rock specimen height is 100mm, and the diameter is 50 mm. And cutting an annular induced seam at the cross section of the middle part of the rock sample, wherein the seam width is 2mm, and the seam depth is 3 mm. The prefabricated induced seam is used for ensuring a good direct tensile test effect, and JGN high-strength viscose is used for bonding the rock sample 1 and the test pull head 4 together as shown in fig. 2, and the rock sample 1 and the two pull heads 4 are always kept on a vertical line. The rock sample 1 with the attached slider 4 was then left standing in the room for one week.
(2) And (3) carrying out direct tensile test on the rock sample by adopting a rock mechanics testing machine, and carrying out real-time monitoring on acoustic emission in the whole process. The rock mechanical testing machine used in this example was MTS 815 (manufactured by MTS Co., USA). During loading, the axial force is measured and recorded in real time. Acoustic emission monitoring employs a PCI-2 acoustic emission real-time three-dimensional localization monitoring system (developed by the acoustic Physics of America (PAC)). The acoustic emission sensor that adopts is Micro30 high accuracy sensor, and it can provide wide frequency response, even can guarantee the effective collection of acoustic emission signal when there is very big noise in experimental environment. The 8 Micro30 acoustic emission sensors 3 were uniformly and symmetrically fixed on the surface of the cylindrical sample, as shown in fig. 2. And vaseline is applied between the rock sample 1 and the acoustic emission transducer 3. And recording the waveform data of all acoustic emission signals in real time by using an acoustic emission acquisition system.
(3) And converting the acquired acoustic emission waveform from a time domain to a frequency domain by adopting Fourier transform. Fig. 3(a) is a typical acoustic emission waveform, and fig. 3(b) is a spectrum diagram thereof. The dominant frequency values of the acoustic emission signals are extracted, as indicated by the dots in fig. 3 (b).
(4) And counting the energy ratio of the acoustic emission signals in different main frequency bands to obtain the energy ratio of the acoustic emission signals in the low main frequency concentrated band. In order to perform grouping statistics on the main frequency values of the acoustic emission signals, the width of the main frequency band set in this embodiment is 10 kHz. As the dominant frequency of the acoustic emission waveform of indoor rock damage is within 500kHz, the range of the 1 st dominant frequency band is (0,10] kHz, the range of the 2 nd dominant frequency band is (10,20] kHz, and so on, and the range of the 50 th dominant frequency band is (490,500] kHz.
(5) A statistical relationship between the energy ratio and the peak intensity of the acoustic emission signal in the low main frequency concentrated band for a set of rock samples 1 was obtained, as shown in fig. 5. The square data points in the graph represent the test results for this set of rock samples 1. The number of rock samples 1 of this example was 5. A linear fit was performed to make a trend line. The linear fitting function of the energy ratio of the signal in the low main frequency central band and the peak intensity of the granite sample in the embodiment is-4.9314 x + 7.8918.
(6) When the energy proportion of the acoustic emission signal in the low main frequency set reaches 100%, the corresponding fitting peak intensity is the tensile strength of the rock. In this embodiment, x is set to 1, which means that the energy ratio of the low-dominant-frequency acoustic emission signal reaches 100%, and the peak intensity y is equal to 2.96 MPa. Thus, the tensile strength of the granite of this example was 2.96MPa, as indicated by the dots in FIG. 5.
The above-mentioned embodiments only express the embodiments of the present invention, but not should be understood as the limitation of the scope of the invention patent, it should be noted that, for those skilled in the art, many variations and modifications can be made without departing from the concept of the present invention, and these all fall into the protection scope of the present invention.

Claims (5)

1.一种基于微观破坏类型分析的精确求解岩石抗拉强度的方法,其特征在于,该方法基于岩石试样(1)、岩石力学试验机、力学控制系统、声发射采集系统实现;所述方法包括以下步骤:1. A method for accurately solving the tensile strength of rock based on microscopic failure type analysis, characterized in that the method is realized based on a rock sample (1), a rock mechanics testing machine, a mechanical control system, and an acoustic emission acquisition system; the The method includes the following steps: 第一步,制备用于直接拉伸试验的岩石试样(1);In the first step, a rock sample (1) for direct tensile testing is prepared; 制备圆柱形岩石试样(1),并在岩石试样(1)的中部横截面位置切割一个环形诱导缝(2);A cylindrical rock sample (1) is prepared, and an annular induced fracture (2) is cut at the middle cross-sectional position of the rock sample (1); 第二步,将岩石试样(1)放置于岩石力学试验机中,岩石试样(1)的上方和下方均匀、对称的设置声发射传感器(3);所述声发射传感器(3)与声发射采集系统连接,岩石力学试验机与力学控制系统连接;采用岩石力学试验机对岩石试样进行直接拉伸试验,并进行全过程声发射实时监测:利用力学控制系统采集时间、轴向力;并利用声发射采集系统记录所有声发射信号的波形数据;In the second step, the rock sample (1) is placed in the rock mechanics testing machine, and the acoustic emission sensor (3) is evenly and symmetrically arranged above and below the rock sample (1); the acoustic emission sensor (3) and the The acoustic emission acquisition system is connected, and the rock mechanics testing machine is connected with the mechanical control system; the rock mechanical testing machine is used to conduct direct tensile tests on rock samples, and the whole process of real-time monitoring of acoustic emission is carried out: the mechanical control system is used to collect time, axial force ; And use the acoustic emission acquisition system to record the waveform data of all acoustic emission signals; 第三步,提取声发射信号的主频;采用傅里叶变换对采集的声发射波形进行时域向频域的转换,获取所有声发射信号的主频;The third step is to extract the main frequency of the acoustic emission signal; use Fourier transform to convert the acquired acoustic emission waveform from the time domain to the frequency domain, and obtain the main frequency of all acoustic emission signals; 第四步,统计声发射信号在不同主频带的能量占比,获得低主频集中带声发射信号的能量占比;The fourth step is to count the energy proportion of the acoustic emission signal in different main frequency bands, and obtain the energy proportion of the low main frequency concentrated band acoustic emission signal; 对声发射信号的主频值进行分组统计,每个主频带的宽度为5-15kHz;将声发射信号按照主频值分到不同的主频带,进行不同主频带声发射信号的能量统计;横坐标为主频带编号,纵坐标为能量占比,绘制的图中存在两个明显的主频集中带,根据主频值的高低定义为高主频集中带和低主频集中带;进而统计低主频集中带的声发射信号的能量占比;The main frequency value of the acoustic emission signal is grouped and counted, and the width of each main frequency band is 5-15kHz; the acoustic emission signal is divided into different main frequency bands according to the main frequency value, and the energy of the acoustic emission signal of different main frequency bands is calculated. Statistics; the abscissa is the main frequency band number, and the ordinate is the energy ratio. There are two obvious main frequency concentrated bands in the drawn figure, which are defined as high main frequency concentrated band and low main frequency concentrated band according to the level of main frequency value. ; and then count the energy ratio of the acoustic emission signal in the low main frequency concentrated band; 第五步,获得一组岩石试样(1)的低主频集中带声发射信号能量占比与其峰值强度之间的统计关系,以低主频集中带声发射信号能量占比为横坐标,峰值强度为纵坐标,绘制散点图,进行线性拟合并作出趋势线;The fifth step is to obtain the statistical relationship between the energy ratio of the acoustic emission signal in the low dominant frequency concentrated band and its peak intensity for a group of rock samples (1), and the energy ratio of the low dominant frequency concentrated band acoustic emission signal is taken as the abscissa, The peak intensity is the ordinate, draw a scatter diagram, perform linear fitting and make a trend line; 所述一组岩石试样指的是从同一岩芯获取的多个岩石试样,每个岩石试样(1)的峰值强度σmax为轴向力的最大值Pmax除以岩石试样(1)中部横截面的面积S;The group of rock samples refers to multiple rock samples obtained from the same core, and the peak strength σ max of each rock sample (1) is the maximum value P max of the axial force divided by the rock sample ( 1) the area S of the middle cross section;
Figure FDA0003178764590000011
Figure FDA0003178764590000011
Figure FDA0003178764590000021
Figure FDA0003178764590000021
式中,σmax表示峰值强度;Pmax表示轴向力的最大值;S表示中部横截面的面积;D表示岩石试样(1)直径;L表示环形诱导缝(2)的深度;where σ max represents the peak strength; P max represents the maximum axial force; S represents the area of the middle cross section; D represents the diameter of the rock sample (1); L represents the depth of the annular induced fracture (2); 第六步,将第五步得到的趋势线向外做延长线,延长线与低主频集中带声发射信号能量占比(横坐标)为1(即100%)的垂直线的交点即为此类岩石的抗拉强度;即当低主频集中带声发射信号能量占比达到100%时,此时所对应的拟合峰值强度为此类岩石的抗拉强度。The sixth step is to extend the trend line obtained in the fifth step to the outside. The intersection of the extension line and the vertical line where the energy ratio (abscissa) of the low dominant frequency concentrated acoustic emission signal is 1 (ie 100%) is The tensile strength of this kind of rock; that is, when the energy ratio of the acoustic emission signal in the low main frequency concentrated band reaches 100%, the corresponding fitting peak strength at this time is the tensile strength of this kind of rock.
2.根据权利要求1所述的一种基于微观破坏类型分析的精确求解岩石抗拉强度的方法,其特征在于,第一步所述的岩石试样(1)的高度与直径比为2:1。2. a kind of method for accurately solving rock tensile strength based on microscopic failure type analysis according to claim 1, is characterized in that, the height and diameter ratio of the rock sample (1) described in the first step are 2: 1. 3.根据权利要求1所述的一种基于微观破坏类型分析的精确求解岩石抗拉强度的方法,其特征在于,第一步所述的环形诱导缝(2)宽度占岩石试样(1)高度的1%~3%,缝深占岩石试样(1)直径的4%~8%。3. A method for accurately solving the tensile strength of rock based on microscopic failure type analysis according to claim 1, wherein the width of the annular induced fracture (2) in the first step accounts for the proportion of the rock sample (1) 1% to 3% of the height, and the fracture depth accounts for 4% to 8% of the diameter of the rock sample (1). 4.根据权利要求1所述的一种基于微观破坏类型分析的精确求解岩石抗拉强度的方法,其特征在于,第二步所述的声发射传感器(3)的数量为4个以上,并均匀、对称地固定在圆柱体试样1的上下表面。4. A method for accurately solving rock tensile strength based on microscopic failure type analysis according to claim 1, wherein the number of the acoustic emission sensors (3) described in the second step is more than 4, and It is evenly and symmetrically fixed on the upper and lower surfaces of the cylindrical sample 1. 5.根据权利要求1所述的一种基于微观破坏类型分析的精确求解岩石抗拉强度的方法,其特征在于,第二步所述的声发射传感器(3)需要有宽的频率响应,频率响应范围应至少保证10kHz-500kHz。5. A method for accurately solving rock tensile strength based on microscopic failure type analysis according to claim 1, characterized in that the acoustic emission sensor (3) described in the second step needs to have a wide frequency response, and the frequency The response range should be guaranteed at least 10kHz-500kHz.
CN202011283283.7A 2020-11-17 2020-11-17 An accurate method for calculating the tensile strength of rock based on microscopic failure type analysis Active CN112444449B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011283283.7A CN112444449B (en) 2020-11-17 2020-11-17 An accurate method for calculating the tensile strength of rock based on microscopic failure type analysis

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011283283.7A CN112444449B (en) 2020-11-17 2020-11-17 An accurate method for calculating the tensile strength of rock based on microscopic failure type analysis

Publications (2)

Publication Number Publication Date
CN112444449A CN112444449A (en) 2021-03-05
CN112444449B true CN112444449B (en) 2021-09-24

Family

ID=74738056

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011283283.7A Active CN112444449B (en) 2020-11-17 2020-11-17 An accurate method for calculating the tensile strength of rock based on microscopic failure type analysis

Country Status (1)

Country Link
CN (1) CN112444449B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117589890B (en) * 2024-01-19 2024-03-26 四川省自然资源勘察设计集团有限公司 Rock collapse early warning method and system based on acoustic emission characteristics

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110045002A (en) * 2019-05-14 2019-07-23 南昌航空大学 Magnetic acoustic emission signal dimensionless characteristic parameter extraction method

Family Cites Families (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
RU2359125C1 (en) * 2007-09-10 2009-06-20 Государственное образовательное учреждение высшего профессионального образования Московский государственный горный университет (МГГУ) Procedure for mechanical strength tests of rock samples and device for performing this procedure
EP2310844A4 (en) * 2008-07-14 2017-02-22 Exxonmobil Upstream Research Company Systems and methods for determining geologic properties using acoustic analysis
CN105445377A (en) * 2014-09-30 2016-03-30 北京强度环境研究所 Method for distinguishing damage degree of C/C (Carbon-carbon) composite material structure based on acoustic emission technique
RU2617195C1 (en) * 2016-04-04 2017-04-21 федеральное государственное бюджетное образовательное учреждение высшего образования "Санкт-Петербургский горный университет" Method for evaluating strength of welded submersible hull elements
CN107314251B (en) * 2017-06-09 2019-05-14 昆明理工大学 A kind of detection device and detection method of sewer pipe leakage failure
CN108828067B (en) * 2018-03-29 2020-12-08 江苏理工学院 A method for separating damage types of composite materials contained in acoustic emission signals
CN108732013B (en) * 2018-04-18 2021-05-28 石家庄铁道大学 Determination of triaxial compressive strength of rock salt
CN109283047B (en) * 2018-11-29 2023-10-20 四川大学 Rock mass damage monitoring system and evaluation method in deep engineering environment
FR3089301B1 (en) * 2018-11-30 2023-04-21 Electricite De France System and method for determining characteristics of a crack

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110045002A (en) * 2019-05-14 2019-07-23 南昌航空大学 Magnetic acoustic emission signal dimensionless characteristic parameter extraction method

Also Published As

Publication number Publication date
CN112444449A (en) 2021-03-05

Similar Documents

Publication Publication Date Title
Niu et al. Fracture damage prediction in fissured red sandstone under uniaxial compression: acoustic emission b‐value analysis
CN104990777B (en) A kind of preparation of impact injury rock sample and assay method based on SHPB experiments
CN104215748B (en) Comprehensive quantitative determination method for grouting reinforcement effect of underground engineering crushed surrounding rocks
CN110864966B (en) Compressibility evaluation method suitable for fractured rock
CN105203639B (en) A method of detecting rock brittleness using acoustic-emission
Ma et al. Comparisons of fracturing mechanism of tight sandstone using liquid CO2 and water
CN101957343B (en) Novel acoustic-emission ground-stress-field measuring technology based on plane stress condition
CN108333256B (en) Rock mass damage degree calculation method under blasting action based on rock CT scanning
CN106499383A (en) A kind of method of evaluating cementing barrier integrity
CN109342195A (en) Test method for bond strength of the first cemented surface of oil well cement
CN112444449B (en) An accurate method for calculating the tensile strength of rock based on microscopic failure type analysis
CN103616301A (en) Soil body shearing testing device and soil body shearing method
Khosravi et al. Multistage triaxial testing to estimate effective stress relationships for unsaturated compacted soils
Zhang et al. Microscopic investigation of rock direct tensile failure based on statistical analysis of acoustic emission waveforms
Zafar et al. Evaluation of crack initiation and damage in intact barre granite rocks using acoustic emission
CN105738215A (en) Novel method for testing geostress jointly by acoustic emission and differential strain
CN103526737A (en) A method of testing the compactness of deep backfill soil by using N10
Kao et al. Experimental study of the association between sandstone size effect and strain rate effect
Zhao et al. Acoustic emission behaviors of the Beishan granite under uniaxial and triaxial compression conditions
Soysa Monotonic and cyclic shear loading response of natural silts
CN205280545U (en) Seepage tests sand post or earth pillar suitable for nuclear magnetic resonance analysis and imaging system
CN205484212U (en) Country rock damage time effect test structure
CN104316955A (en) Tectonic earthquake prediction experimental device and method based on impedance analysis
Zhao et al. Acoustic emission failure experiments and space-time evolution mechanism of coal samples with different gangue contents
Chang et al. Determination of interfaces in soil layers by sound wave analysis with cone penetration tests

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant