Rock mechanics testing system

Abstract

The invention relates to the technical field of rock mechanical testing, and particularly discloses a rock mechanical testing system which comprises a mechanical parameter testing and acquiring module, a strength characteristic testing and analyzing module, a state characteristic testing and analyzing module, a comprehensive characteristic correlation analyzing module, a rock applicability analyzing module and a testing terminal. The mechanical property of the rock can be comprehensively evaluated by utilizing a multi-parameter comprehensive analysis method, meanwhile, a rock application scene is comprehensively considered, and a mechanical property test threshold range is set through a large amount of test data, so that evaluation of the mechanical property of the rock better meets actual engineering requirements, and the reliability of an analysis result in engineering practice is ensured; the problems of structural deformation, insufficient bearing capacity and the like caused by the rock strength problem in engineering construction can be effectively avoided, and the safety and stability of engineering are improved.

Description

Technical Field

[0001] The invention relates to the technical field of rock mechanics testing, and in particular to a rock mechanics testing system. Background Art

[0002] In the field of rock mechanical properties research, traditional testing methods often have many limitations. In the past, the strength characteristics of rocks were only evaluated through simple single-parameter tests, lacking comprehensive consideration of multiple parameters such as longitudinal wave velocity, stress-strain relationship, Poisson's ratio, shear modulus, etc., and unable to comprehensively and accurately determine the bearing capacity and deformation characteristics of rocks. As a result, it is difficult to accurately judge whether the rocks can withstand the corresponding loads in engineering applications, and structural deformation and insufficient bearing capacity caused by rock strength problems often occur, seriously affecting the safety and stability of the project.

[0003] In terms of rock state characteristics, the analysis of factors such as porosity, pore shape, pore distribution uniformity, and permeability is not in-depth and systematic enough. Failure to effectively quantify the impact of these state characteristics on rock mechanical properties makes it impossible to fully consider the role of these factors in rock selection and engineering design, which can easily lead to misjudgment of rock performance and increase engineering risks and uncertainties.

[0004] In addition, the traditional method has not deeply explored the intrinsic relationship between the rock mechanical property test value and the state performance test value, and cannot provide a strong basis for the comprehensive performance evaluation of rock, which makes it difficult to achieve accurate selection and reasonable application of rock in engineering practice, and cannot effectively balance the safety, reliability and economy of the project. With the continuous development of various types of rock engineering construction, such as the increasing number of large-scale building foundations, tunnel excavation, mining and other projects, the accurate evaluation of rock mechanical properties has become more and more critical. If the strength and state characteristics of rocks and the relationship between them cannot be accurately grasped, many problems will be faced in engineering construction. Summary of the invention

[0005] In view of the above situation, in order to overcome the defects of the prior art, the present invention provides a rock mechanics testing system to solve the above-mentioned technical defects.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a rock mechanics testing system, including a mechanical parameter test acquisition module, a strength characteristic test analysis module, a state characteristic test analysis module, a comprehensive characteristic correlation analysis module, a rock applicability analysis module and a test terminal, wherein the mechanical parameter test acquisition module performs data tests on various analysis parameters of each rock test sample by using various test equipment, sends the test data to the inside of the test terminal for backup and recording, and sends the data to the strength characteristic test analysis module and the state characteristic test analysis module respectively through the test terminal;

[0007] The strength characteristic test analysis module performs a comprehensive analysis based on the strength characteristic parameters of each rock test sample, obtains the mechanical property test value of each rock test sample through the analysis, and sends the mechanical property test value of each rock test sample to the comprehensive characteristic correlation analysis module through the test terminal;

[0008] The state characteristic test analysis module performs a comprehensive analysis based on the state characteristic parameters of each rock test sample, obtains the state performance test value of each rock test sample through analysis, and sends the state performance test value of each rock test sample to the comprehensive characteristic correlation analysis module through the test terminal;

[0009] The comprehensive characteristic correlation analysis module performs comprehensive characteristic correlation analysis based on the mechanical property test values ​​of each rock test sample and the state performance test values ​​of each rock test sample to determine whether there is a linear correlation between the mechanical property test values ​​and the state performance test values ​​of each rock test sample;

[0010] The rock suitability analysis module calculates and analyzes the confidence interval of the mechanical property prediction value based on a given confidence level combined with the state performance test values ​​of each rock test sample, and obtains the confidence interval of the mechanical property prediction value of each rock test sample.

[0011] Furthermore, the specific analysis process of the strength characteristic test analysis module is as follows:

[0012] The longitudinal wave velocity of each rock test sample is obtained, and the numerical values ​​of the empirical coefficients a and b are set according to the type of the rock test sample. The empirical coefficient b is taken as the square root of the longitudinal wave velocity, and then multiplied by the empirical coefficient a to obtain the pre-strength value YQi of each rock test sample; wherein, i represents the number of each rock test sample, i=1, 2, ..., n, and n represents the total number of the rock test sample numbers;

[0013] Obtain each axial strain value corresponding to each test stress value of each rock test sample and draw a stress-strain curve diagram, select two points on the stress-strain curve diagram, calculate the difference between the stress values ​​and the axial strain values ​​of the two points, and divide the difference in stress values ​​by the difference in axial strain values ​​to obtain the elastic modulus Ei of each rock test sample;

[0014] Obtain the lateral strain value and the axial strain value of each rock test sample, perform ratio calculation on the lateral strain value and the axial strain value, and take the negative value thereof to obtain the Poisson's ratio Bi of each rock test sample;

[0015] According to the formula Calculate the shear modulus Ji of each rock test sample; finally, combine the pre-strength value YQi, elastic modulus Ei, Poisson's ratio Bi and shear modulus Ji of each rock test sample to perform calculation and analysis, according to the formula Calculate the mechanical property test value QCi of each rock test sample.

[0016] Furthermore, taking into account the application scenarios of rocks, a large number of test data of rock samples in this scenario are used to analyze the influence of pre-strength value, elastic modulus, Poisson's ratio and shear modulus on the actual engineering performance, and then the mechanical property test threshold range that can effectively distinguish the good and bad mechanical properties of rocks is set, which is denoted as [QCmin, QCmax].

[0017] Furthermore, the mechanical property test value QCi of each rock test sample is compared and analyzed with the set mechanical property test threshold range [QCmin, QCmax] to obtain the strength state mark of each rock test sample. The specific comparative analysis method is as follows:

[0018] If the mechanical property test value QCi ≥ QCmax of a rock test sample, the rock test sample is recorded as high-strength rock;

[0019] If the mechanical property test value of a rock test sample is QCmin<QCi<QCmax, the rock test sample is recorded as medium strength rock;

[0020] If the mechanical property test value QCi≤QCmin of a rock test sample, the rock test sample is recorded as low-strength rock.

[0021] Furthermore, the specific analysis process of the state characteristic test analysis module is as follows:

[0022] The porosity of each rock test sample is obtained, and the porosity is multiplied by the set coefficient and 1 for difference calculation, and the absolute value of the difference is multiplied by the rock strength value with a porosity of 0. The porosity strength value KQi of each rock test sample is obtained through the above calculation;

[0023] The pore shape and pore distribution uniformity of each rock test sample are obtained, and the pore shape is divided into spherical pores and needle-shaped pores. The value of the spherical pore is recorded as 1, and the value of the needle-shaped pore is taken according to the pore length, and the value is less than 1. The porosity, pore shape and pore distribution uniformity of each rock test sample are multiplied by the corresponding set coefficients and then subtracted from 1. The absolute value of the difference between the three is multiplied, and then multiplied by the elastic modulus of the void-free rock. The poroelastic value KEi of each rock test sample is obtained through the above calculation;

[0024] Obtain the permeability and permeability change of each rock test sample, perform a ratio calculation on the permeability change and the permeability of each rock test sample, and then multiply them by the set correlation coefficient respectively, perform sum calculation and difference calculation on the two calculation results and 1 respectively, and then perform product calculation on the two calculation results, and obtain the permeability strength value SQi of each rock test sample through the above calculation;

[0025] Finally, the pore strength value KQi, pore elastic value KEi and permeability value SQi of the above-mentioned rock test samples are calculated and analyzed according to the formula Calculate the state performance test value ZCi of each rock test sample.

[0026] Furthermore, the state performance test threshold ZCmax of each rock test sample is set according to the test data of the rock in the specific application scenario, and the state performance test value ZCi of each rock test sample is compared and analyzed with the set state performance test threshold ZCmax. If the state performance test value ZCi≥ZCmax of a rock test sample, it means that the state characteristics of the rock have little effect on the mechanical properties. Otherwise, it means that the state characteristics of the rock have a greater effect on the mechanical properties.

[0027] Furthermore, the specific analysis method of the comprehensive characteristic correlation analysis module is as follows:

[0028] The mechanical property test value QCi of each rock test sample is used as the ordinate, and the state performance test value ZCi of each rock test sample is used as the abscissa, and the data points of each rock test sample are plotted into a scatter plot. If the state performance test value ZCi of each rock test sample increases with the increase of the mechanical property test value QCi of each rock test sample, it means that the state characteristics of the rock have a positive effect on the mechanical properties. Otherwise, it means that the state characteristics of the rock will weaken the mechanical properties.

[0029] At the same time, according to the formula Calculate the linear correlation coefficient R of the mechanical properties test value and state performance test value of each rock test sample, They are respectively expressed as the average values ​​of the mechanical properties test values ​​and the state properties test values ​​of each rock test sample.

[0030] Furthermore, when the linear correlation coefficient R = 1, it means that there is a completely positive linear correlation between the mechanical property test values ​​and the state performance test values ​​of each rock test sample;

[0031] When the linear correlation coefficient R = -1, it means that there is a complete negative linear correlation between the mechanical property test values ​​and the state performance test values ​​of each rock test sample;

[0032] When the linear correlation coefficient R = 0, it means that there is no linear correlation between the mechanical property test values ​​and the state performance test values ​​of each rock test sample;

[0033] When the linear correlation coefficient is 0<R<1, it means that there is a certain degree of linear correlation between the mechanical property test values ​​and the state performance test values ​​of each rock test sample. The closer R is to 1, the stronger the linear correlation is, and the closer R is to 0, the weaker the linear correlation is.

[0034] Furthermore, the specific calculation and analysis method of the rock suitability analysis module is as follows:

[0035] According to the formula

[0036]

[0037] The confidence interval of the predicted value of the mechanical properties of each rock test sample is calculated, where QC0 represents the predicted value of the mechanical properties of each rock test sample; t α / 2 is the two-sided α / 2 quantile of the t distribution with n-2 degrees of freedom; s represents the standard error of the regression model, which is calculated by the residual of the regression model.

[0038] Furthermore, the suitability of the rock is evaluated and analyzed based on the confidence intervals of the calculated predicted values ​​of the mechanical properties of each rock test sample. When the project requires the compressive strength of the rock to be at least 90 MPa, and the calculated confidence interval of the predicted values ​​of the mechanical properties of a certain rock test sample contains a value lower than 95 MPa, it means that the mechanical properties of the rock test sample may not be suitable for the project requirements, and additional reinforcement treatment is required to ensure the safety of the project; when the confidence interval of the predicted values ​​of the mechanical properties of a certain rock test sample is narrow and meets the project requirements, it means that the prediction of the mechanical properties of the rock test sample is more accurate.

[0039] Beneficial effects of the present invention:

[0040] 1. In the present invention, each rock test sample is comprehensively analyzed through the strength characteristic test analysis module, and accurate mechanical property test values ​​can be obtained, which is helpful to accurately understand the mechanical property state of each rock sample. At the same time, based on this, the rocks can be reasonably classified, and high-strength, medium-strength and low-strength rocks can be distinguished, which provides an important basis for the selection of rocks in engineering applications; secondly, in the analysis process, by obtaining the longitudinal wave velocity of the rock test sample, and calculating the pre-strength value in combination with the empirical coefficient, the elastic modulus is calculated using the stress-strain curve, and the Poisson's ratio and shear modulus are calculated according to the lateral strain value and the axial strain value, the mechanical properties of the rock can be comprehensively evaluated using the multi-parameter comprehensive analysis method. Furthermore, the rock application scenario is comprehensively considered and the mechanical property test threshold range is set through a large amount of test data, so that the evaluation of the mechanical properties of the rock is more in line with the actual engineering needs, ensuring the reliability of the analysis results in engineering practice, and can effectively avoid the structural deformation and insufficient bearing capacity caused by rock strength problems in engineering construction, thereby improving the safety and stability of the project.

[0041] 2. In the present invention, the state characteristic test analysis module is used to conduct a comprehensive analysis of the rock test samples, and an accurate state performance test value ZCi can be obtained, and it is fed back to the comprehensive characteristic correlation analysis module, which provides a data basis for accurately evaluating the state performance of the rock and ensures the accuracy of the subsequent correlation analysis results. Secondly, the influence of porosity on rock strength, the influence of pore shape and pore distribution uniformity on rock elastic modulus, and permeability and its change are also comprehensively considered. This influence can be effectively quantified through a reasonable calculation method, which helps to fully understand the elastic characteristics of the rock and is of great significance for studying the mechanical properties of the rock under the action of fluids. Finally, by comparing and analyzing with the state performance test threshold ZCmax set according to the application scenario test data, the influence of the rock state characteristics on the mechanical properties can be intuitively judged, which provides an important reference basis for the selection of rocks in engineering practice and helps to ensure the stability and safety of the project.

[0042] 3. In the present invention, a comprehensive characteristic correlation analysis module is used to draw a scatter plot with mechanical property test values ​​and state performance test values ​​and calculate the linear correlation coefficient, which can intuitively show the direction and degree of correlation between rock state characteristics and mechanical properties. Whether it is a complete positive / negative correlation or a certain degree of correlation, it helps to deeply and comprehensively understand rock properties, provide a key theoretical basis for the accurate selection and reasonable application of rocks in engineering, and avoid engineering risks caused by insufficient understanding of rock properties. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] The present invention will be further described below in conjunction with the accompanying drawings.

[0044] Figure 1The present invention is a block diagram of a rock mechanics testing system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0045] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work also fall within the scope of protection of the present invention.

[0046] Although the present invention has made various references to certain modules in the system according to an embodiment of the present invention, any number of different modules can be used and run on a user terminal and / or server. The modules are only illustrative, and different aspects of the system and method can use different modules.

[0047] The present invention uses a flow chart to illustrate the operations performed by the system according to an embodiment of the present invention. It should be understood that the preceding or following operations are not necessarily performed precisely in order. On the contrary, various steps may be processed in reverse order or simultaneously as required. At the same time, other operations may also be added to these processes, or one or more operations may be removed from these processes.

[0048] Below, the exemplary embodiments according to the present invention will be described in detail with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments of the present invention, and it should be understood that the present invention is not limited to the exemplary embodiments described here.

[0049] Embodiment 1:

[0050] See also Figure 1 As shown, a rock mechanics testing system proposed in the present invention comprises a mechanical parameter test acquisition module, a strength characteristic test analysis module, a state characteristic test analysis module, a comprehensive characteristic correlation analysis module, a rock applicability analysis module and a test terminal; wherein the mechanical parameter test acquisition module performs data tests on various analysis parameters of each rock test sample by using various test equipment, sends the test data to the inside of the test terminal for backup record, and at the same time sends the data to the strength characteristic test analysis module and the state characteristic test analysis module respectively through the test terminal;

[0051] It should be noted that the strength characteristic parameters and state characteristic parameters of each rock test sample are tested and obtained through the mechanical parameter test acquisition module, wherein the strength characteristic parameters of each rock test sample include longitudinal wave velocity, stress value, lateral strain value and axial strain value, and the state characteristic parameters of each rock test sample include porosity, pore shape, pore distribution uniformity and permeability;

[0052] The strength characteristic test analysis module performs a comprehensive analysis based on the strength characteristic parameters of each rock test sample, obtains the mechanical property test value QCi of each rock test sample through the analysis, and sends the mechanical property test value QCi of each rock test sample to the comprehensive characteristic correlation analysis module through the test terminal, which can not only reasonably analyze and accurately feedback the mechanical property state of each rock test sample, but also provide data support for the correlation analysis process of the comprehensive characteristics of each rock test sample, and ensure the accuracy of its analysis results; wherein, i represents the number of each rock test sample, i=1,2,...,n, and n represents the total number of the numbers of each rock test sample;

[0053] Furthermore, the specific analysis process of the strength characteristic test analysis module is as follows:

[0054] The longitudinal wave velocity of each rock test sample is obtained, and the numerical values ​​of the empirical coefficients a and b are set according to the type of the rock test sample. The empirical coefficient b is taken as the square root of the longitudinal wave velocity, and then multiplied by the empirical coefficient a to obtain the pre-strength value YQi of each rock test sample;

[0055] Obtain each axial strain value corresponding to each test stress value of each rock test sample and draw a stress-strain curve diagram, select two points on the stress-strain curve diagram, calculate the difference between the stress values ​​and the axial strain values ​​of the two points, and divide the difference in stress values ​​by the difference in axial strain values ​​to obtain the elastic modulus Ei of each rock test sample; wherein, select two points (YL1, YB1) and (YL2, YB2) on the stress-strain curve diagram, then the elastic modulus Ei of each rock test sample = (YL2-YL1) / (YB2-YB1);

[0056] Obtain the lateral strain value and the axial strain value of each rock test sample, perform ratio calculation on the lateral strain value and the axial strain value, and take the negative value thereof to obtain the Poisson's ratio Bi of each rock test sample;

[0057] According to the formula Calculate the shear modulus Ji of each rock test sample; finally, combine the pre-strength value YQi, elastic modulus Ei, Poisson's ratio Bi and shear modulus Ji of each rock test sample to perform calculation and analysis, according to the formula Calculate the mechanical property test value QCi of each rock test sample;

[0058] Taking into account the application scenarios of rocks, a large number of test data of rock samples in this scenario are used to analyze the influence of pre-strength value, elastic modulus, Poisson's ratio and shear modulus on actual engineering performance, and then set the mechanical property test threshold range that can effectively distinguish the mechanical properties of rocks, recorded as [QCmin, QCmax]. The mechanical property test value QCi of each rock test sample is compared with the set mechanical property test threshold range [QCmin, QCmax] to obtain the strength state mark of each rock test sample. The specific comparative analysis method is as follows:

[0059] If the mechanical property test value QCi ≥ QCmax of a rock test sample, it means that the rock test sample has a high bearing capacity and can withstand a large load without being easily deformed. The rock test sample is recorded as a high-strength rock;

[0060] If the mechanical property test value of a rock test sample is QCmin<QCi<QCmax, it means that the mechanical property of the rock test sample is at a normal level and meets the general requirements of engineering applications. The rock test sample is recorded as medium-strength rock;

[0061] If the mechanical property test value QCi≤QCmin of a rock test sample, it means that the mechanical property of the rock test sample is low, it cannot withstand a large load, and it is easy to deform. The rock test sample is recorded as a low-strength rock;

[0062] In a specific embodiment, the present invention uses a strength characteristic test analysis module to conduct a comprehensive analysis of each rock test sample, and can obtain an accurate mechanical property test value QCi, which helps to accurately understand the mechanical property state of each rock sample. At the same time, based on this, the rock can be reasonably classified to distinguish high-strength, medium-strength and low-strength rocks, which provides an important basis for the selection of rocks in engineering applications; secondly, in the analysis process, by obtaining the longitudinal wave velocity of the rock test sample, and combining the empirical coefficient to calculate the pre-strength value YQi, the elastic modulus Ei is calculated using the stress-strain curve, and the Poisson's ratio Bi and the shear modulus Ji are calculated according to the lateral strain value and the axial strain value. The mechanical properties of the rock can be comprehensively evaluated using a multi-parameter comprehensive analysis method. Furthermore, by comprehensively considering the rock application scenario and setting the mechanical property test threshold range through a large amount of test data, the evaluation of the mechanical properties of the rock is more in line with the actual engineering needs, ensuring the reliability of the analysis results in engineering practice, and can effectively avoid structural deformation, insufficient bearing capacity and other problems caused by rock strength problems in engineering construction, thereby improving the safety and stability of the project.

[0063] The state characteristic test analysis module performs a comprehensive analysis based on the state characteristic parameters of each rock test sample, obtains the state performance test value ZCi of each rock test sample through analysis, and sends the state performance test value ZCi of each rock test sample to the comprehensive characteristic correlation analysis module through the test terminal, which can not only reasonably analyze and accurately feedback the state performance status of each rock test sample, but also provide data support for the correlation analysis process of the comprehensive characteristics of each rock test sample, and ensure the accuracy of its analysis results;

[0064] Specifically, the specific analysis process of the state characteristic test analysis module is as follows:

[0065] The porosity of each rock test sample is obtained, and the porosity is multiplied by the set coefficient and 1 for difference calculation, and the absolute value of the difference is multiplied by the rock strength value with a porosity of 0. The porosity strength value KQi of each rock test sample is obtained through the above calculation;

[0066] The pore shape and pore distribution uniformity of each rock test sample are obtained, and the pore shape is divided into spherical pores and needle-shaped pores. The value of the spherical pore is recorded as 1, and the value of the needle-shaped pore is taken according to the pore length, and the value is less than 1. The value of the pore distribution uniformity is between [0,1]. If the pore distribution uniformity is 1, it means that the pores are completely evenly distributed. The porosity, pore shape and pore distribution uniformity of each rock test sample are multiplied by the corresponding set coefficients and then subtracted from 1. The absolute value of the difference between the three is multiplied, and then multiplied by the elastic modulus of the void-free rock. The poroelastic value KEi of each rock test sample is obtained through the above calculation;

[0067] Obtain the permeability and permeability change of each rock test sample, perform a ratio calculation on the permeability change and the permeability of each rock test sample, and then multiply them by the set correlation coefficient respectively, perform sum calculation and difference calculation on the two calculation results and 1 respectively, and then perform product calculation on the two calculation results, and obtain the permeability strength value SQi of each rock test sample through the above calculation;

[0068] Finally, the pore strength value KQi, pore elastic value KEi and permeability value SQi of the above-mentioned rock test samples are calculated and analyzed according to the formula Calculate the state performance test value ZCi of each rock test sample;

[0069] The state performance test threshold ZCmax of each rock test sample is set according to the test data of rock in specific application scenarios, and the state performance test value ZCi of each rock test sample is compared and analyzed with the set state performance test threshold ZCmax. If the state performance test value ZCi≥ZCmax of a rock test sample, it means that the state characteristics of the rock have little influence on the mechanical properties. Otherwise, it means that the state characteristics of the rock have a greater influence on the mechanical properties.

[0070] In a specific embodiment, the present invention uses the state characteristic test analysis module to conduct a comprehensive analysis of the rock test sample, and can obtain an accurate state performance test value ZCi, and feed it back to the comprehensive characteristic correlation analysis module, which provides a data basis for accurately evaluating the state performance of the rock and ensures the accuracy of the subsequent correlation analysis results. Secondly, the influence of porosity on rock strength, the influence of pore shape and pore distribution uniformity on rock elastic modulus, and permeability and its change are also comprehensively considered. This influence can be effectively quantified through a reasonable calculation method, which helps to fully understand the elastic characteristics of the rock and is of great significance for studying the mechanical properties of the rock under the action of fluids. Finally, by comparing and analyzing with the state performance test threshold ZCmax set according to the application scenario test data, the magnitude of the influence of the rock state characteristics on the mechanical properties can be intuitively judged, which provides an important reference basis for the selection of rocks in engineering practice and helps to ensure the stability and safety of the project.

[0071] The comprehensive characteristic correlation analysis module performs comprehensive characteristic correlation analysis based on the mechanical property test value QCi of each rock test sample and the state performance test value ZCi of each rock test sample to determine whether there is a linear correlation between the mechanical property test value and the state performance test value of each rock test sample, thereby providing a more comprehensive understanding of the rock performance.

[0072] Specifically, the specific analysis method of the comprehensive characteristic correlation analysis module is as follows:

[0073] The mechanical property test value QCi of each rock test sample is used as the ordinate, and the state performance test value ZCi of each rock test sample is used as the abscissa, and the data points of each rock test sample are plotted into a scatter plot. If the state performance test value ZCi of each rock test sample increases with the increase of the mechanical property test value QCi of each rock test sample, it means that the state characteristics of the rock have a positive effect on the mechanical properties. Otherwise, it means that the state characteristics of the rock will weaken the mechanical properties.

[0074] At the same time, according to the formula Calculate the linear correlation coefficient R of the mechanical properties test value and state performance test value of each rock test sample, They are respectively expressed as the average values ​​of mechanical property test values ​​and state property test values ​​of each rock test sample;

[0075] When the linear correlation coefficient R = 1, it means that there is a complete positive linear correlation between the mechanical property test values ​​and the state performance test values ​​of each rock test sample;

[0076] When the linear correlation coefficient R = -1, it means that there is a complete negative linear correlation between the mechanical property test values ​​and the state performance test values ​​of each rock test sample;

[0077] When the linear correlation coefficient R = 0, it means that there is no linear correlation between the mechanical property test values ​​and the state performance test values ​​of each rock test sample;

[0078] When the linear correlation coefficient is 0<R<1, it means that there is a certain degree of linear correlation between the mechanical property test values ​​and the state performance test values ​​of each rock test sample. The closer R is to 1, the stronger the linear correlation is, and the closer R is to 0, the weaker the linear correlation is.

[0079] The rock suitability analysis module calculates and analyzes the confidence interval of the mechanical property prediction value based on a given confidence level combined with the state performance test values ​​of each rock test sample, and obtains the confidence interval of the mechanical property prediction value of each rock test sample;

[0080] Specifically, the specific calculation and analysis method of the rock suitability analysis module is as follows:

[0081] According to the formula

[0082]

[0083] The confidence interval of the predicted value of the mechanical properties of each rock test sample is calculated, where QC0 represents the predicted value of the mechanical properties of each rock test sample; t α / 2 It is the two-sided α / 2 quantile of the t distribution with n-2 degrees of freedom. When the given confidence level is 95%, α = 0.05, and the t distribution with the corresponding degrees of freedom (n-2) is obtained by consulting the t distribution table. α / 2 Value; s represents the standard error of the regression model, which is obtained by calculating the residual of the regression model;

[0084] The suitability of the rock is evaluated and analyzed based on the confidence intervals of the calculated predicted values ​​of the mechanical properties of each rock test sample. When the project requires the compressive strength of the rock to be at least 90 MPa, and the calculated confidence interval of the predicted values ​​of the mechanical properties of a rock test sample contains values ​​lower than 95 MPa, it means that the mechanical properties of the rock test sample may not be suitable for the project requirements, and additional reinforcement treatment is required to ensure the safety of the project; when the confidence interval of the predicted values ​​of the mechanical properties of a rock test sample is narrow and meets the project requirements, it means that the prediction of the mechanical properties of the rock test sample is more accurate, and the use of this rock may reduce the safety risks of the project. It also helps to reasonably control costs and avoid over-design or selection of overly expensive materials while ensuring the quality of the project.

[0085] In a specific embodiment, the present invention uses a comprehensive characteristic correlation analysis module to draw a scatter plot and calculate a linear correlation coefficient using mechanical property test values ​​and state performance test values, which can intuitively show the direction and degree of correlation between rock state characteristics and mechanical properties. Whether it is a complete positive / negative correlation or a certain degree of correlation, it is helpful to deeply and comprehensively understand rock properties, provide a key theoretical basis for the accurate selection and reasonable application of rocks in engineering, and avoid engineering hazards caused by insufficient understanding of rock properties. The rock applicability analysis module calculates the confidence interval of the predicted mechanical property value based on a given confidence level, and can accurately judge whether the rock is suitable based on the requirements of actual engineering for mechanical properties such as rock compressive strength. For rocks that may not meet the requirements, reinforcement measures can be taken in time to ensure engineering safety. For rocks with a narrow confidence interval that meet the requirements, both the quality of the project can be guaranteed and reasonable cost control can be achieved in material selection, effectively balancing the safety, reliability and economy of the project, and greatly improving the adaptability and value of rocks in various engineering applications.

[0086] The above formulas are all dimensionless and numerical calculations. The formula is a formula that is obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The size of the coefficient is to quantify each parameter to obtain a specific value. Regarding the size of the coefficient, it is acceptable as long as it does not affect the proportional relationship between the parameter and the quantified value.

[0087] In addition, those skilled in the art will appreciate that various aspects of the present invention may be illustrated and described by a number of patentable categories or situations, including any new and useful process, machine, product or combination of substances, or any new and useful improvements thereto. Accordingly, various aspects of the present invention may be performed entirely by hardware, entirely by software (including firmware, resident software, microcode, etc.), or by a combination of hardware and software. The above hardware or software may all be referred to as "data blocks", "modules", "engines", "units", "components" or "systems". In addition, various aspects of the present invention may be represented as a computer product located in one or more computer-readable media, which includes computer-readable program code.

[0088] Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the invention belongs. It should also be understood that terms such as those defined in common dictionaries should be interpreted as having a meaning consistent with their meaning in the context of the relevant technology and should not be interpreted in an idealized or extremely formal sense, unless explicitly defined as such herein.

[0089] The above is an explanation of the present invention and should not be considered as a limitation thereof. Although several exemplary embodiments of the present invention have been described, it will be readily appreciated by those skilled in the art that many modifications may be made to the exemplary embodiments without departing from the novel teachings and advantages of the present invention. Therefore, all such modifications are intended to be included within the scope of the present invention as defined in the claims. It should be understood that the above is an explanation of the present invention and should not be considered as being limited to the specific embodiments disclosed, and modifications to the disclosed embodiments and other embodiments are intended to be included within the scope of the appended claims. The present invention is defined by the claims and their equivalents.

Claims

1. A rock mechanics testing system, comprising a mechanical parameter test acquisition module, a strength characteristic test analysis module, a state characteristic test analysis module, a comprehensive characteristic correlation analysis module, a rock applicability analysis module and a test terminal, characterized in that: The mechanical parameter test acquisition module uses various test equipment to perform data tests on various analysis parameters of each rock test sample, sends the test data to the internal of the test terminal for backup record, and sends the data to the strength characteristic test analysis module and the state characteristic test analysis module through the test terminal respectively; The strength characteristic test analysis module performs a comprehensive analysis based on the strength characteristic parameters of each rock test sample, obtains the mechanical property test value of each rock test sample through the analysis, and sends the mechanical property test value of each rock test sample to the comprehensive characteristic correlation analysis module through the test terminal; The state characteristic test analysis module performs a comprehensive analysis based on the state characteristic parameters of each rock test sample, obtains the state performance test value of each rock test sample through analysis, and sends the state performance test value of each rock test sample to the comprehensive characteristic correlation analysis module through the test terminal; The comprehensive characteristic correlation analysis module performs comprehensive characteristic correlation analysis based on the mechanical property test values ​​of each rock test sample and the state performance test values ​​of each rock test sample to determine whether there is a linear correlation between the mechanical property test values ​​and the state performance test values ​​of each rock test sample; The rock suitability analysis module calculates and analyzes the confidence interval of the mechanical property prediction value based on a given confidence level combined with the state performance test values ​​of each rock test sample, and obtains the confidence interval of the mechanical property prediction value of each rock test sample.

2. A rock mechanics testing system according to claim 1, characterized in that: The specific analysis process of the strength characteristic test analysis module is as follows: The longitudinal wave velocity of each rock test sample is obtained, and the numerical values ​​of the empirical coefficients a and b are set according to the type of the rock test sample. The empirical coefficient b is taken as the square root of the longitudinal wave velocity, and then multiplied by the empirical coefficient a to obtain the pre-strength value YQi of each rock test sample; wherein, i represents the number of each rock test sample, i=1, 2, ..., n, and n represents the total number of the rock test sample numbers; Obtain each axial strain value corresponding to each test stress value of each rock test sample and draw a stress-strain curve diagram, select two points on the stress-strain curve diagram, calculate the difference between the stress values ​​and the axial strain values ​​of the two points, and divide the difference in stress values ​​by the difference in axial strain values ​​to obtain the elastic modulus Ei of each rock test sample; Obtain the lateral strain value and the axial strain value of each rock test sample, perform ratio calculation on the lateral strain value and the axial strain value, and take the negative value thereof to obtain the Poisson's ratio Bi of each rock test sample; According to the formula Calculate the shear modulus Ji of each rock test sample; finally, combine the pre-strength value YQi, elastic modulus Ei, Poisson's ratio Bi and shear modulus Ji of each rock test sample to perform calculation and analysis, according to the formula Calculate the mechanical property test value QCi of each rock test sample.

3. A rock mechanics testing system according to claim 2, characterized in that: Taking into account the application scenarios of rocks, a large number of test data of rock samples in this scenario are used to analyze the influence of pre-strength value, elastic modulus, Poisson's ratio and shear modulus on the actual engineering performance, and then the mechanical property test threshold range that can effectively distinguish the good and bad mechanical properties of rocks is set, which is denoted as [QCmin, QCmax].

4. A rock mechanics testing system according to claim 3, characterized in that: The mechanical property test value QCi of each rock test sample is compared and analyzed with the set mechanical property test threshold range [QCmin, QCmax] to obtain the strength state mark of each rock test sample. The specific comparative analysis method is as follows: If the mechanical property test value QCi ≥ QCmax of a rock test sample, the rock test sample is recorded as high-strength rock; If the mechanical property test value of a rock test sample is QCmin<QCi<QCmax, the rock test sample is recorded as medium strength rock; If the mechanical property test value QCi≤QCmin of a rock test sample, the rock test sample is recorded as low-strength rock.

5. A rock mechanics testing system according to claim 4, characterized in that: The specific analysis process of the state characteristic test analysis module is as follows: The porosity of each rock test sample is obtained, and the porosity is multiplied by the set coefficient and 1 for difference calculation, and the absolute value of the difference is multiplied by the rock strength value with a porosity of 0. The porosity strength value KQi of each rock test sample is obtained through the above calculation; The pore shape and pore distribution uniformity of each rock test sample are obtained, and the pore shape is divided into spherical pores and needle-shaped pores. The value of the spherical pore is recorded as 1, and the value of the needle-shaped pore is taken according to the pore length, and the value is less than 1. The porosity, pore shape and pore distribution uniformity of each rock test sample are multiplied by the corresponding set coefficients and then subtracted from 1. The absolute value of the difference between the three is multiplied, and then multiplied by the elastic modulus of the void-free rock. The poroelastic value KEi of each rock test sample is obtained through the above calculation; Obtain the permeability and permeability change of each rock test sample, perform a ratio calculation on the permeability change and the permeability of each rock test sample, and then multiply them by the set correlation coefficient respectively, perform sum calculation and difference calculation on the two calculation results and 1 respectively, and then perform product calculation on the two calculation results, and obtain the permeability strength value SQi of each rock test sample through the above calculation; Finally, the pore strength value KQi, pore elastic value KEi and permeability value SQi of the above-mentioned rock test samples are calculated and analyzed according to the formula Calculate the state performance test value ZCi of each rock test sample.

6. A rock mechanics testing system according to claim 5, characterized in that: The state performance test threshold ZCmax of each rock test sample is set according to the test data of rock in specific application scenarios, and the state performance test value ZCi of each rock test sample is compared and analyzed with the set state performance test threshold ZCmax. If the state performance test value ZCi≥ZCmax of a rock test sample, it means that the state characteristics of the rock have little influence on the mechanical properties. Otherwise, it means that the state characteristics of the rock have a greater influence on the mechanical properties.

7. A rock mechanics testing system according to claim 6, characterized in that: The specific analysis method of the comprehensive characteristic association analysis module is as follows: The mechanical property test value QCi of each rock test sample is used as the ordinate, and the state performance test value ZCi of each rock test sample is used as the abscissa, and the data points of each rock test sample are plotted into a scatter plot. If the state performance test value ZCi of each rock test sample increases with the increase of the mechanical property test value QCi of each rock test sample, it means that the state characteristics of the rock have a positive effect on the mechanical properties. Otherwise, it means that the state characteristics of the rock will weaken the mechanical properties. At the same time, according to the formula Calculate the linear correlation coefficient R of the mechanical properties test value and state performance test value of each rock test sample, They are respectively expressed as the average values ​​of the mechanical properties test values ​​and the state properties test values ​​of each rock test sample.

8. A rock mechanics testing system according to claim 7, characterized in that: When the linear correlation coefficient R = 1, it means that there is a complete positive linear correlation between the mechanical property test values ​​and the state performance test values ​​of each rock test sample; When the linear correlation coefficient R = -1, it means that there is a complete negative linear correlation between the mechanical property test values ​​and the state performance test values ​​of each rock test sample; When the linear correlation coefficient R = 0, it means that there is no linear correlation between the mechanical property test values ​​and the state performance test values ​​of each rock test sample; When the linear correlation coefficient is 0<|R|<1, it means that there is a certain degree of linear correlation between the mechanical property test values ​​and the state performance test values ​​of each rock test sample. The closer |R| is to 1, the stronger the linear correlation is, and the closer |R| is to 0, the weaker the linear correlation is.

9. A rock mechanics testing system according to claim 1, characterized in that: The specific calculation and analysis method of the rock applicability analysis module is as follows: According to the formula The confidence interval of the predicted value of the mechanical properties of each rock test sample is calculated, where QC0 represents the predicted value of the mechanical properties of each rock test sample; t α / 2 is the two-sided α / 2 quantile of the t distribution with n-2 degrees of freedom; s represents the standard error of the regression model, which is calculated by the residual of the regression model.

10. A rock mechanics testing system according to claim 9, characterized in that: The suitability of the rock is evaluated and analyzed based on the confidence intervals of the predicted mechanical properties of each rock test sample. When the project requires the compressive strength of the rock to be at least 90 MPa, and the confidence interval of the predicted mechanical properties of a rock test sample contains a value lower than 95 MPa, it means that the mechanical properties of the rock test sample may not meet the project requirements, and additional reinforcement treatment is required to ensure the safety of the project. When the confidence interval of the predicted mechanical properties of a rock test sample is narrow and meets the project requirements, it means that the prediction of the mechanical properties of the rock test sample is more accurate.

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