A rock mechanics testing system
The rock mechanics testing system, which integrates multi-parameter analysis, solves the problem of inaccurate rock mechanical performance evaluation in traditional methods, enabling precise selection and rational application of rocks, and ensuring the safety and stability of engineering projects.
Patent Information
- Application Number
- CN202510138778.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-08
- Publication Date
- 2025-11-28
- Estimated Expiration
- 2045-02-08
AI Technical Summary
Traditional rock mechanical property testing methods cannot comprehensively and accurately assess the load-bearing capacity and deformation characteristics of rocks. They also fail to deeply analyze the influence of factors such as porosity, pore shape, pore distribution uniformity, and permeability on rock mechanical properties, leading to misjudgments in rock selection and application in engineering projects, and increasing engineering risks and uncertainties.
Design a rock mechanics testing system, including a mechanical parameter testing and acquisition module, a strength characteristic testing and analysis module, a state characteristic testing and analysis module, a comprehensive characteristic correlation analysis module, and a rock suitability analysis module. Through multi-parameter comprehensive analysis, evaluate the mechanical and state properties of rocks, and set test thresholds and linear correlation coefficients to classify and assess the suitability of rocks.
It enables precise evaluation of the mechanical and state properties of rocks, provides an important basis for rock selection, ensures the safety and stability of the project, avoids structural deformation and insufficient load-bearing capacity caused by rock strength problems, and improves the safety and stability of the project.
Smart Images

Figure CN119804104B_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of rock mechanics testing, in particular to a rock mechanics testing system. BACKGROUND
[0002] In the field of rock mechanics performance research, traditional testing methods often have many limitations. For the strength characteristics of rock, in the past, only simple single-parameter testing was used for evaluation, lacking comprehensive consideration of multiple parameters such as longitudinal wave velocity, stress-strain relationship, Poisson's ratio, and shear modulus. It is impossible to comprehensively and accurately determine the bearing capacity and deformation characteristics of rock, which leads to difficulties in accurately determining whether the rock can bear the corresponding load in engineering applications. Conditions such as structural deformation and insufficient bearing capacity caused by rock strength problems often occur, which seriously affect 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 deep and systematic. These state characteristics cannot be effectively quantified to affect the rock mechanics performance, making it difficult 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 does not deeply explore the internal relationship between the rock mechanics performance test value and the state performance test value, which cannot provide a strong basis for comprehensive performance evaluation of rock. It is difficult to achieve accurate selection and reasonable application of rock in engineering practice, and it is difficult to effectively balance the safety, reliability, and economy of the project. With the continuous development of various rock engineering construction, such as increasing large building foundations, tunnel excavation, and mine exploitation projects, accurate evaluation of rock mechanics performance becomes increasingly critical. If the strength and state characteristics of rock and their relationship cannot be accurately mastered, many problems will be encountered in engineering construction. SUMMARY
[0005] In view of the above situation, in order to overcome the defects of the prior art, the present application provides a rock mechanics testing system to solve the technical defects mentioned above.
[0006] To achieve the above purpose, the present application is realized by the following technical scheme: a rock mechanics testing system, comprising a mechanics parameter testing acquisition module, a strength characteristic testing and analysis module, a state characteristic testing and analysis module, a comprehensive characteristic correlation analysis module, a rock applicability analysis module, and a testing terminal. The mechanics parameter testing acquisition module uses various testing equipment to test the analysis parameters of each rock testing sample, sends the test data to the internal backup record of the testing terminal, and simultaneously sends the data to the strength characteristic testing and analysis module and the state characteristic testing and analysis module through the testing terminal.
[0007] The strength characteristic test analysis module performs comprehensive analysis based on the strength characteristic parameters of each rock test sample, obtains the mechanical property test values of each rock test sample through analysis, and sends the mechanical property test values of each rock test sample to the comprehensive characteristic correlation analysis module through the test terminal;
[0008] The state characteristic test analysis module performs comprehensive analysis based on the state characteristic parameters of each rock test sample, obtains the state performance test values of each rock test sample through analysis, and sends the state performance test values 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, and determines whether the mechanical property test values and the state performance test values of each rock test sample exist a linear correlation relationship;
[0010] The rock applicability analysis module performs confidence interval calculation analysis of the mechanical property prediction value based on the given confidence level and 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] Further, the specific analysis process of the strength characteristic test analysis module is as follows:
[0012] The longitudinal wave speed 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 speed, 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 numbers of each rock test sample;
[0013] The stress-strain curve graph is drawn by obtaining the axial strain values corresponding to each test stress value of each rock test sample. Two points are selected on the stress-strain curve graph, the stress values and the axial strain values of the two points are calculated respectively, and the difference value of the stress values is divided by the difference value of the axial strain values to obtain the elastic modulus Ei of each rock test sample;
[0014] The transverse strain value and the axial strain value of each rock test sample are obtained, the transverse strain value and the axial strain value are calculated, and the negative value is taken to obtain the Poisson's ratio Bi of each rock test sample;
[0015] According to the formula The shear modulus Ji of each rock test sample is calculated; finally, the pre-strength value YQi, the elastic modulus Ei, the Poisson's ratio Bi and the shear modulus Ji of each rock test sample are comprehensively calculated and analyzed according to the formula The mechanical property test value QCi of each rock test sample is calculated.
[0016] Further, considering the application scene of the rock, the influence of the pre-strength value, the elastic modulus, the Poisson's ratio and the shear modulus on the actual engineering performance is analyzed through a large number of test data of rock samples in the scene, and then the mechanical property test threshold range capable of effectively distinguishing the advantages and disadvantages of the mechanical properties of the rock is set, which is denoted as [QCmin, QCmax].
[0017] Further, 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, and the specific comparison and analysis method is as follows:
[0018] If the mechanical property test value QCi of a certain rock test sample is greater than or equal to QCmax, the rock test sample is recorded as a high-strength rock;
[0019] If the mechanical property test value QCi of a certain rock test sample is greater than QCmin and less than QCmax, the rock test sample is recorded as a medium-strength rock;
[0020] If the mechanical property test value QCi of a certain rock test sample is less than or equal to QCmin, the rock test sample is recorded as a low-strength rock.
[0021] Further, 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 difference between the porosity multiplied by a set coefficient and 1 is calculated, and the absolute value of the difference is multiplied by the strength value of the rock with a porosity of 0 to obtain the hole strength value KQi of each rock test sample;
[0023] The pore shape and pore distribution uniformity of each rock test sample are obtained, the pore shape is divided into spherical pores and needle-shaped pores, the value of the spherical pores is recorded as 1, the value of the needle-shaped pores is valued according to the pore length, and the value is less than 1, the pore shape and the pore distribution uniformity of each rock test sample are respectively multiplied by the corresponding set coefficient and then the difference between the product and 1 is calculated, the absolute values of the differences are multiplied, and then the elastic modulus of the rock without voids is multiplied to obtain the hole elastic value KEi of each rock test sample.
[0024] The permeability and the permeability change amount of each rock test sample are obtained, the permeability change amount and the permeability of each rock test sample are calculated, and then the two calculation results are multiplied by a set correlation coefficient, and then the two calculation results are summed and subtracted, and then the two calculation results are multiplied to obtain the permeation strength value SQi of each rock test sample.
[0025] Finally, the pore strength value KQi, the pore elasticity value KEi and the permeation strength value SQi of each rock test sample are calculated and analyzed according to the formula The state performance test value ZCi of each rock test sample is calculated.
[0026] Further, 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 scene, and the state performance test value ZCi of each rock test sample is compared with the set state performance test threshold ZCmax. If the state performance test value ZCi of a certain rock test sample is greater than or equal to ZCmax, it indicates that the state characteristics of the rock have less influence on the mechanical properties, otherwise, it indicates that the state characteristics of the rock have greater influence on the mechanical properties.
[0027] Further, the comprehensive characteristic correlation analysis module has the following specific analysis method:
[0028] The mechanical property test value QCi of each rock test sample is taken as the ordinate, and the state performance test value ZCi of each rock test sample is taken 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 indicates that the state characteristics of the rock have a positive influence on the mechanical properties, otherwise, it indicates that the state characteristics of the rock will weaken the mechanical properties.
[0029] At the same time, the linear correlation coefficient R between the mechanical property test value and the state performance test value of each rock test sample is calculated according to the formula The linear correlation coefficient R between the mechanical property test value and the state performance test value of each rock test sample is calculated according to the formula
[0030] Further, when the linear correlation coefficient R is equal to 1, it indicates that there is a complete positive linear correlation between the mechanical property test value and the state performance test value of each rock test sample.
[0031] When the linear correlation coefficient R is equal to -1, it indicates that there is a complete negative linear correlation between the mechanical property test value and the state performance test value of each rock test sample.
[0032] When the linear correlation coefficient R=0, it indicates that there is no linear correlation between the mechanical property test value and the state property test value of each rock test sample.
[0033] When the linear correlation coefficient 0
[0034] Further, the rock applicability analysis module specifically calculates and analyzes the method as follows:
[0035] According to the formula
[0036]
[0037] The confidence interval of the mechanical property prediction value of each rock test sample is calculated, wherein QC0 represents the mechanical property prediction value of each rock test sample; t α / 2 is the two-sided alpha / 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] Further, the rock applicability is evaluated and analyzed according to the calculated confidence interval of the mechanical property prediction value of each rock test sample, when the rock compressive strength required by the project is at least 90MPa, and the calculated confidence interval of the mechanical property prediction value of a certain rock test sample contains a value lower than 95MPa, it indicates that the rock test sample may not be applicable in mechanical properties, and additional reinforcement treatment is required to ensure the safety of the project; when the confidence interval of the mechanical property prediction value of a certain rock test sample is narrow and meets the engineering requirements, it means that the prediction of the mechanical property of the rock test sample is more accurate.
[0039] The beneficial effects of the present application are:
[0040] 1. This invention utilizes a strength characteristic testing and analysis module to comprehensively analyze various rock test samples, yielding accurate mechanical property test values. This helps to precisely understand the mechanical property state of each rock sample. Furthermore, based on this, rocks can be rationally classified, distinguishing between high-strength, medium-strength, and low-strength rocks, providing an important basis for rock selection in engineering applications. Secondly, during the analysis process, the longitudinal wave velocity of the rock test samples is obtained, and the pre-strength value is calculated using empirical coefficients. The elastic modulus is calculated using stress-strain curves, and Poisson's ratio and shear modulus are calculated based on transverse and axial strain values. This multi-parameter comprehensive analysis method can comprehensively evaluate the mechanical properties of the rocks. Moreover, by comprehensively considering the rock application scenarios and setting mechanical property test threshold ranges based on extensive experimental data, the evaluation of rock mechanical properties is more aligned with actual engineering needs, ensuring the reliability of the analysis results in engineering practice. This effectively avoids structural deformation and insufficient load-bearing capacity caused by rock strength issues during engineering construction, improving the safety and stability of the project.
[0041] 2. In this invention, the state characteristic test analysis module comprehensively analyzes rock test samples to obtain accurate state performance test values ZCi, which are then fed back to the comprehensive characteristic correlation analysis module. This provides a data foundation for accurately evaluating rock state performance and ensures the accuracy of subsequent correlation analysis results. Secondly, it also comprehensively considers the influence of porosity on rock strength, the influence of pore shape and pore distribution uniformity on rock elastic modulus, and permeability and its variation. Through reasonable calculation methods, this influence can be effectively quantified, which helps to fully understand the elastic characteristics of rocks and is of great significance for studying the mechanical properties of rocks under fluid action. Finally, by comparing and analyzing with the state performance test threshold ZCmax set according to the test data of the application scenario, the magnitude of the influence of rock state characteristics on mechanical properties can be intuitively judged, providing an important reference for the selection of rocks in engineering practice and helping to ensure the stability and safety of engineering projects.
[0042] 3. In this invention, the comprehensive characteristic correlation analysis module uses scatter plots of mechanical performance test values and state performance test values and calculates linear correlation coefficients to intuitively show the direction and degree of correlation between rock state characteristics and mechanical properties. Whether it is a completely positive / negative correlation or a certain degree of correlation, it helps to deeply and comprehensively understand rock properties, providing key theoretical basis for the accurate selection and rational application of rocks in engineering, and avoiding engineering hazards caused by insufficient understanding of rock properties. Attached Figure Description
[0043] The invention will now be further described with reference to the accompanying drawings.
[0044] Figure 1A principle block diagram of a rock mechanics testing system according to an embodiment of the present application. DETAILED DESCRIPTION
[0045] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without creative work fall within the scope of the present application.
[0046] Although the present application makes various references to certain modules in the system according to the embodiments of the present application, however, any number of different modules can be used and run on the user terminal and / or server. The modules are only illustrative, and different aspects of the system and method can use different modules.
[0047] Flowcharts are used in the present application to illustrate the operations performed by the system according to the embodiments of the present application. It should be understood that the preceding or following operations are not necessarily performed in sequence. Instead, various steps can be processed in reverse order or simultaneously, as needed. Meanwhile, other operations can be added to these processes, or one or more steps can be removed from these processes.
[0048] Next, the example embodiments according to the present application will be described in detail with reference to the drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments of the present application, and it should be understood that the present application is not limited to the example embodiments described herein.
[0049] Embodiment 1:
[0050] Referring to Figure 1 As shown in the drawings, the rock mechanics testing system according to the present application comprises a mechanics parameter testing acquisition module, a strength characteristic testing analysis module, a state characteristic testing analysis module, a comprehensive characteristic correlation analysis module, a rock applicability analysis module and a testing terminal. The mechanics parameter testing acquisition module tests various analysis parameters of each rock testing sample by using various testing devices, sends the testing data to the testing terminal for backup recording, and simultaneously sends the data to the strength characteristic testing analysis module and the state characteristic testing analysis module through the testing terminal.
[0051] It should be noted that the strength characteristic parameters and the state characteristic parameters of each rock testing sample are tested and acquired by the mechanics parameter testing acquisition module, wherein the strength characteristic parameters of each rock testing sample include longitudinal wave velocity, stress value, transverse strain value and axial strain value, and the state characteristic parameters of each rock testing sample include porosity, pore shape, pore distribution uniformity and permeability.
[0052] The strength characteristic test analysis module comprehensively analyzes the strength characteristic parameters of each rock test sample, obtains the mechanical property test value QCi of each rock test sample through 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 not only can reasonably analyze and accurately feedback the mechanical property state of each rock test sample, but also can provide data support for the correlation analysis process of the comprehensive characteristics of each rock test sample, and ensure the accuracy of the 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] Further, 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 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] The stress-strain curve graph is drawn by obtaining the axial strain value corresponding to each test stress value of each rock test sample. Two points are selected on the stress-strain curve graph, the stress values and axial strain values of the two points are calculated respectively, and the difference value of the stress value is divided by the difference value of the axial strain value to obtain the elastic modulus Ei of each rock test sample; wherein two points (YL1, YB1) and (YL2, YB2) are selected on the stress-strain curve graph, and the elastic modulus Ei of each rock test sample is (YL2-YL1) / (YB2-YB1).
[0056] The transverse strain value and the axial strain value of each rock test sample are obtained, the transverse strain value and the axial strain value are calculated, and the negative value is taken to obtain the Poisson's ratio Bi of each rock test sample.
[0057] According to the formula The shear modulus Ji of each rock test sample is calculated; finally, the pre-strength value YQi, the elastic modulus Ei, the Poisson's ratio Bi and the shear modulus Ji of each rock test sample are calculated and analyzed, and the mechanical property test value QCi of each rock test sample is calculated according to the formula
[0058] In consideration of the application scenarios of the rock, through a large number of test data of rock samples in the scenarios, the influences of the pre-strength value, the elastic modulus, the Poisson's ratio and the shear modulus on the actual engineering performance are analyzed, and then the mechanical property test threshold range capable of effectively distinguishing the advantages and disadvantages of the mechanical properties of the rock is set, denoted as [QCmin, QCmax]. The mechanical property test value QCiof each rock test sample is compared with the set mechanical property test threshold range [QCmin, QCmax], and the strength state mark of each rock test sample is obtained, and the specific comparison and analysis method is as follows:
[0059] If the mechanical property test value QCiof a rock test sample is greater than or equal to QCmax, it indicates that the rock test sample has a high bearing capacity and can bear a large load without easy deformation, and the rock test sample is recorded as a high-strength rock.
[0060] If the mechanical property test value QCiof a rock test sample is greater than QCminand less than QCmax, it indicates that the mechanical property of the rock test sample is at a normal level and meets the general requirements of engineering application, and the rock test sample is recorded as a medium-strength rock.
[0061] If the mechanical property test value QCiof a rock test sample is less than or equal to QCmin, it indicates that the mechanical property of the rock test sample is low and cannot bear a large load, and is easy to deform, and the rock test sample is recorded as a low-strength rock.
[0062] In a specific embodiment, the comprehensive analysis of each rock test sample by the strength characteristic test analysis module in the present application can obtain an accurate mechanical property test value QCiof each rock test sample, which helps to accurately understand the mechanical property state of each rock sample, and based on this, the rock can be reasonably classified into high-strength, medium-strength and low-strength rocks, which provides an important basis for the selection of rock in engineering application. Secondly, in the analysis process, the longitudinal wave velocity of the rock test sample is obtained, the pre-strength value YQ is calculated by combining the empirical coefficient, the elastic modulus E is calculated by using the stress-strain curve, and the Poisson's ratio Bi and the shear modulus Ji are calculated according to the transverse strain value and the axial strain value. The method of multi-parameter comprehensive analysis can comprehensively evaluate the mechanical properties of the rock. Furthermore, the mechanical property test threshold range is set by considering the application scenarios of the rock and a large number of test data, so that the evaluation of the mechanical properties of the rock is more in line with the actual engineering requirements, and the reliability of the analysis results in engineering practice is ensured, which can effectively avoid the problems of structure deformation, insufficient bearing capacity and the like caused by the strength of the rock in engineering construction, and improve the safety and stability of the engineering.
[0063] The state characteristic test analysis module performs 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 not only can reasonably analyze and accurately feedback the state performance state of each rock test sample, but also can provide data support for the correlation analysis process of the comprehensive characteristics of each rock test sample, and ensure the accuracy of the 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, the porosity is multiplied by a set coefficient and 1 to calculate the difference, the absolute value of the difference is multiplied by the rock strength value of the porosity of 0, and the pore 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, the pore shape is divided into spherical pores and needle-shaped pores, the value of the spherical pores is recorded as 1, the value of the needle-shaped pores is valued according to the pore length, the value is less than 1, and the value of the pore distribution uniformity is between [0, 1], if the pore distribution uniformity is 1, it indicates that the pore is completely uniformly distributed, the porosity, pore shape and pore distribution uniformity of each rock test sample are respectively multiplied by the corresponding set coefficient and 1 to calculate the difference, the absolute value of the difference is multiplied, and the elastic modulus of the non-gap rock is multiplied, the pore elastic value KEi of each rock test sample is obtained through the above calculation;
[0067] The permeability and permeability change of each rock test sample are obtained, the permeability change and the permeability of each rock test sample are calculated, and the two calculation results are respectively multiplied by the set correlation coefficient, the two calculation results are respectively calculated by sum and difference, and the two calculation results are multiplied, the seepage strength value SQi of each rock test sample is obtained through the above calculation;
[0068] Finally, the pore strength value KQi, the pore elastic value KEi and the seepage strength value SQi of each rock test sample are calculated and analyzed, according to the formula The state performance test value ZCi of each rock test sample is calculated;
[0069] According to the test data of the rock in the specific application scene, the state performance test threshold ZCmax of each rock test sample is set, the state performance test value ZCi of each rock test sample is compared with the set state performance test threshold ZCmax, if the state performance test value ZCi of a certain rock test sample is greater than or equal to ZCmax, it indicates that the state characteristics of the rock have less influence on the mechanical properties, otherwise, it indicates that the state characteristics of the rock have greater influence on the mechanical properties.
[0070] In a specific embodiment, the comprehensive analysis of the rock test sample by the state characteristic test analysis module in the present application can obtain the accurate state performance test value ZCi, which 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 guarantees the accuracy of the subsequent correlation analysis results. In addition, the influence of porosity on rock strength, the influence of pore shape and pore distribution uniformity on rock elastic modulus, and the permeability and its change amount are also considered comprehensively. Through reasonable calculation methods, the influence can be effectively quantified, 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 fluid. Finally, by comparing with the state performance test threshold ZCmax set according to the test data of the application scene, the influence of the state characteristics of the rock on the mechanical properties can be directly judged, which provides an important reference for the selection of rock 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 performance test value QCi of each rock test sample and the state performance test value ZCi of each rock test sample, determines whether there is a linear correlation between the mechanical performance test value and the state performance test value of each rock test sample, and further comprehensively understands the performance of the rock,
[0072] Specifically, the specific analysis method of the comprehensive characteristic correlation analysis module is as follows:
[0073] Taking the mechanical performance test value QCi of each rock test sample as the ordinate and the state performance test value ZCi of each rock test sample as the abscissa, 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 performance test value QCi of each rock test sample, it indicates that the state characteristics of the rock have a positive influence on the mechanical properties, otherwise, it indicates that the state characteristics of the rock will weaken the mechanical properties.
[0074] At the same time, according to the formula The linear correlation coefficient R of the mechanical performance test value and the state performance test value of each rock test sample is calculated, respectively represent the average values of the mechanical property test values and the state property test values of each rock test sample;
[0075] When the linear correlation coefficient R = 1, it indicates that there is a complete positive linear correlation between the mechanical property test values and the state property test values of each rock test sample;
[0076] When the linear correlation coefficient R = -1, it indicates that there is a complete negative linear correlation between the mechanical property test values and the state property test values of each rock test sample;
[0077] When the linear correlation coefficient R = 0, it indicates that there is no linear correlation between the mechanical property test values and the state property test values of each rock test sample;
[0078] When the linear correlation coefficient 0 < R < 1, it indicates that there is a certain degree of linear correlation between the mechanical property test values and the state property test values of each rock test sample, the closer R is to 1, the stronger the linear correlation, and the closer R is to 0, the weaker the linear correlation;
[0079] The rock applicability analysis module performs confidence interval calculation and analysis of the mechanical property prediction value based on the given confidence level and the state property test values of each rock test sample, to obtain 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 applicability analysis module is as follows:
[0081] According to the formula
[0082]
[0083] The confidence interval of the mechanical property prediction value of each rock test sample is calculated, wherein QC0 represents the mechanical property prediction value 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, when the given confidence level is 95%, at this time α = 0.05, the t α / 2 value under the corresponding degrees of freedom (n-2) is obtained by consulting the t distribution table; s represents the standard error of the regression model, which is obtained by calculating the residual of the regression model;
[0084] According to the confidence interval of the calculated mechanical property prediction value of each rock test sample, the rock suitability evaluation analysis is performed. When the compressive strength of the rock required by the project is at least 90 MPa, and the confidence interval of the calculated mechanical property prediction value of a certain rock test sample contains a value less than 95 MPa, it indicates that the rock test sample may not be suitable for the mechanical performance of the project requirement, and additional reinforcement treatment is required to ensure the safety of the project; When the confidence interval of the mechanical property prediction value of a certain rock test sample is narrow and meets the engineering requirements, it means that the prediction of the mechanical properties of the rock test sample is more accurate, and the use of the rock may reduce the safety risk of the project, while also helping to reasonably control the cost under the premise of ensuring the quality of the project, avoiding overdesign or selecting too expensive materials.
[0085] In a specific embodiment, the comprehensive property correlation analysis module in the present application can intuitively show the correlation direction and degree between rock state properties and mechanical properties by drawing scatter plots and calculating linear correlation coefficients with mechanical property test values and state property test values. Whether it is a complete positive / negative correlation or a certain degree of correlation, it helps to deeply and comprehensively understand rock properties, provides a key theoretical basis for accurate selection and reasonable application of rock in engineering, and avoids engineering risks caused by insufficient understanding of rock properties. The rock suitability analysis module calculates the confidence interval of the mechanical property prediction value based on a given confidence level, which can accurately determine whether the rock is suitable according to the requirements of the actual project on the mechanical properties such as compressive strength of the rock, take reinforcement measures in time for rocks that may not meet the requirements, and ensure the safety of the project; For rocks with narrow confidence intervals and meeting the requirements, both the quality of the project and the reasonable control of the cost in material selection can be ensured, effectively balancing the safety, reliability and economy of the project, greatly improving the adaptability and value of rock in various engineering applications.
[0086] The above formulas are dimensionless numerical calculations, and the formulas are obtained by software simulation of a large amount of data to obtain a formula closest to the real situation. The size of the coefficient is a specific value obtained by quantifying each parameter. As long as the size of the coefficient does not affect the proportional relationship between the parameters and the quantized value, it is acceptable.
[0087] Moreover, those skilled in the art will appreciate that the various aspects of the application can be illustrated and described by a number of exemplary formats or scenarios, including any new and useful process, machine, manufacture, or composition of matter, or any new and useful improvement thereof. Accordingly, various aspects of the application can be embodied in hardware only, software only, or a combination of both hardware and software. The above hardware or software can be referred to as a "block," "module," "engine," "unit," "component," or "system." Furthermore, various aspects of the application can be embodied as a computer program product on one or more computer readable media, including 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 this application belongs. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
[0089] The above description is that of the current application and is not to be considered as limiting the application. While the application has been described with respect to several exemplary embodiments, those skilled in the art will readily appreciate that many modifications can be made to the exemplary embodiments without departing from the spirit and scope of the application. Accordingly, all such modifications are intended to be included within the scope of the application as defined in the following claims. It is to be understood that the above description is intended to be illustrative, and not restrictive. Many other embodiments will be apparent to those of skill in the art upon reviewing the above description. The scope of the application should, therefore, be determined not with reference to the above description, but should instead be determined with reference to the appended claims, along with their full scope of equivalents.
Claims
1. A rock mechanics testing system, comprising a mechanical parameter testing and acquisition module, a strength characteristic testing and analysis module, a state characteristic testing and analysis module, a comprehensive characteristic correlation analysis module, a rock suitability analysis module, and a testing terminal, characterized in that: The mechanical parameter test acquisition module uses various testing equipment to test the various analytical parameters of each rock test sample, sends the test data to the internal storage of the test terminal for backup and recording, and sends the data through the test terminal to the strength characteristic test analysis module and the state characteristic test analysis module respectively. The mechanical parameter testing and acquisition module tests and acquires the strength characteristic parameters and state characteristic parameters of each rock test sample. The strength characteristic parameters of each rock test sample include longitudinal wave velocity, stress value, transverse strain value and axial strain value. The state characteristic parameters of each rock test sample include porosity, pore shape, pore distribution uniformity and permeability. The strength characteristic test and analysis module performs a comprehensive analysis based on the strength characteristic parameters of each rock test sample. Through the analysis, it obtains the mechanical property test values of each rock test sample and sends the mechanical property test values of each rock test sample to the comprehensive characteristic correlation analysis module through the test terminal. The state characteristic test and analysis module performs a comprehensive analysis based on the state characteristic parameters of each rock test sample. Through the analysis, it obtains the state performance test values of each rock test sample and sends the state performance test values of each rock test sample to the comprehensive characteristic correlation analysis module through the test terminal. The comprehensive characteristic correlation analysis module performs a comprehensive characteristic correlation analysis based on the mechanical property test values 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 predicted mechanical properties based on a given confidence level and the state performance test values of each rock test sample, thus obtaining the confidence interval of the predicted mechanical properties of each rock test sample.
2. The rock mechanics testing system according to claim 1, characterized in that: The specific analysis process of the strength characteristic test and analysis module is as follows: The longitudinal wave velocity of each rock test sample is obtained. At the same time, the empirical coefficients a and b are set according to the type of rock test sample. The empirical coefficient b is used as the root of the longitudinal wave velocity and then multiplied with the empirical coefficient a to calculate the pre-intensity value YQi of each rock test sample. Here, i represents the number of each rock test sample, i=1,2,...,n, and n represents the total number of rock test sample numbers. Obtain the axial strain values corresponding to each test stress value of each rock test sample and draw a stress-strain curve. Select two points on the stress-strain curve, calculate the difference between the stress value and the axial strain value of the two points, and divide the difference of the stress value by the difference of the axial strain value to obtain the elastic modulus Ei of each rock test sample. Obtain the transverse strain and axial strain values of each rock test sample, calculate the ratio between the transverse strain and axial strain values, and take the negative value to obtain the Poisson's ratio Bi of each rock test sample. According to the formula The shear modulus Ji of each rock test sample was calculated. Finally, the pre-strength value YQi, elastic modulus Ei, Poisson's ratio Bi, and shear modulus Ji of each rock test sample were combined for calculation and analysis, based on the formula. The mechanical property test value QCi of each rock test sample was calculated.
3. The rock mechanics testing system according to claim 2, characterized in that, Taking into account the application scenarios of rocks, the influence of rock pre-strength value, elastic modulus, Poisson's ratio and shear modulus on actual engineering performance is analyzed through test data of rock samples in a large number of application scenarios. Then, the mechanical performance test threshold range that can effectively distinguish the quality of rock mechanical properties is set, denoted as [QCmin, QCmax].
4. The rock mechanics testing system according to claim 3, characterized in that, The mechanical property test values QCi of each rock test sample are compared and analyzed with the set mechanical property test threshold range [QCmin, QCmax] to obtain the strength state label of each rock test sample. The specific comparison and 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 a 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 a medium-strength rock. If the mechanical property test value QCi ≤ QCmin of a rock test sample, the rock test sample is recorded as a 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 and analysis module is as follows: The porosity of each rock test sample is obtained. The porosity is multiplied by a set coefficient and 1, and the difference is calculated. The absolute value of the difference is multiplied by the rock strength value when the porosity is 0. The pore 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. The pore shape is divided into spherical pores and needle-shaped pores. The value of spherical pores is recorded as 1. The value of needle-shaped pores is determined according to the pore length and 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 by 1. The absolute value of the three differences is multiplied together and then multiplied by the elastic modulus of non-porous rock. The porosity elastic value KEi of each rock test sample is obtained through the above calculation. The permeability and permeability change of each rock test sample are obtained. The permeability change and permeability of each rock test sample are compared and calculated, and then multiplied by the set correlation coefficient. The two calculation results are summed and subtracted by 1 respectively. The two calculation results are then multiplied to obtain the permeability value SQi of each rock test sample through the above calculation. Finally, the porosity KQi, porosity elasticity KEi, and permeability SQi of the various rock test samples were combined and analyzed according to the formula. The state performance test value ZCi of each rock test sample was calculated.
6. A rock mechanics testing system according to claim 5, characterized in that, Based on the test data of rocks in specific application scenarios, the state performance test threshold ZCmax is set for each rock test sample. 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 of a rock test sample is ≥ ZCmax, it means that the state characteristics of the rock have a small impact on the mechanical properties. Conversely, it means that the state characteristics of the rock have a large impact 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 correlation analysis module is as follows: Using the mechanical property test value QCi of each rock test sample as the ordinate and the state performance test value ZCi of each rock test sample as the abscissa, a scatter plot is drawn on the data points of each rock test sample. If the state performance test value ZCi of each rock test sample increases as the mechanical property test value QCi increases, it indicates that the state characteristics of the rock have a positive impact on the mechanical properties. Conversely, it indicates that the state characteristics of the rock will weaken the mechanical properties. At the same time, according to the formula The linear correlation coefficient R between the mechanical property test values and the state property test values of each rock test sample was calculated. These represent the average values of the mechanical properties and state properties of each rock test sample, respectively.
8. A rock mechanics testing system according to claim 7, characterized in that, When the linear correlation coefficient R=1, it indicates that there is a completely positive linear correlation between the mechanical property test values and the state property test values of each rock test sample; When the linear correlation coefficient R = -1, it indicates that there is a completely negative linear correlation between the mechanical property test values and the state property 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 property test values of each rock test sample; When the linear correlation coefficient 0 < A value less than 1 indicates a certain degree of linear correlation between the mechanical property test values and the state property test values of each rock test sample. The closer the correlation is to 1, the stronger the linear correlation. The closer to 0, the weaker the linear correlation.
9. A rock mechanics testing system according to claim 1, characterized in that, The specific calculation and analysis methods of the rock suitability analysis module are as follows: According to the formula ; The confidence intervals for the predicted mechanical properties of each rock test sample were calculated, where These are expressed as predicted values of the mechanical properties of each rock test sample; It is the two-sided α / 2 quantile of the t-distribution with n-2 degrees of freedom; It is represented as the standard error of the regression model, which is calculated from the residuals of the regression model.
10. A rock mechanics testing system according to claim 9, characterized in that: The suitability assessment of rocks is conducted based on the confidence intervals of the predicted mechanical properties of each rock test sample. If the engineering requirement is a compressive strength of at least 90 MPa, and the confidence interval of the predicted mechanical properties of a certain rock test sample includes values below 95 MPa, it indicates that the rock test sample may not meet the engineering requirements in terms of mechanical properties, and additional reinforcement treatment is required to ensure the safety of the project. If the confidence interval of the predicted mechanical properties of a certain rock test sample is narrow and meets the engineering requirements, it indicates that the prediction of the mechanical properties of the rock test sample is more accurate.
Citation Information
Patent Citations
Method and system for analyzing mechanical properties and fracture morphology of sandstone under cyclic loading and unloading
CN119064155A
Method for establishing rock multi-field coupling model and model thereof
CN119378299A