Standardized experimental methods and apparatus for rock mechanics experiments

Abstract

The application provides a standardized experiment method and device for rock mechanics experiments. The method comprises the following steps: collecting multiple conventional rock mechanics experiment schemes, determining multiple experiment characteristics of each experiment, and splitting the links of each conventional rock mechanics experiment according to the multiple experiment characteristics; storing each experiment characteristic of each experiment into a corresponding storage file according to a standard format corresponding to each experiment characteristic, so as to generate a standardized description of the rock mechanics experiment; performing matching analysis on each experiment characteristic of a target sample and the standardized description, so as to determine a target experiment type corresponding to the target sample; extracting a corresponding experiment scheme from the standardized description according to the target experiment type, performing automatic experiments on the target sample, and obtaining a mechanical index of the target sample. The method can perform batch and automatic rock mechanics experiments based on the standardized experiment scheme description, improves the experiment efficiency, and reduces the experiment cost.

Description

Technical Field

[0001] This application relates to the field of rock mechanics experimental technology, and in particular to a standardized experimental method and apparatus for rock mechanics experiments. Background Technology

[0002] Currently, the various mechanical properties of rock samples need to be determined through relevant mechanical experiments. In related technologies, rock mechanics experiments are usually conducted by staff based on their personal experience and by referring to previous experimental procedures.

[0003] However, the experimental methods described above are inefficient and may yield biased results, failing to meet the demands of large-scale data processing. With the rapid development of cutting-edge digital technologies such as artificial intelligence and big data, experimental equipment is becoming increasingly digital, sophisticated, and intelligent, and laboratories are gradually transforming towards digitalization and intelligentization. However, standardized experimental methods are currently lacking for rock mechanics experiments. Summary of the Invention

[0004] This application aims to at least partially address one of the technical problems in the related art.

[0005] Therefore, the first objective of this application is to propose a standardized experimental method for rock mechanics experiments. This method is based on a standardized experimental protocol description, which enables batch and automated rock mechanics experiments, improves experimental efficiency, reduces experimental costs, and ensures the accuracy of experimental results.

[0006] The second objective of this application is to propose a standardized experimental apparatus for rock mechanics experiments.

[0007] The third objective of this application is to provide a non-transitory computer-readable storage medium.

[0008] To achieve the above objectives, a first aspect of this application provides a standardized experimental method for rock mechanics experiments, comprising the following steps:

[0009] Multiple conventional rock mechanics experimental schemes were collected, and several experimental characteristics of each conventional rock mechanics experiment were determined. Based on these multiple experimental characteristics, the steps of each conventional rock mechanics experiment were broken down.

[0010] According to the standard format corresponding to each experimental feature, each experimental feature of each conventional rock mechanics experiment is stored in the corresponding storage file to generate a standardized description of the rock mechanics experiment.

[0011] The experimental characteristics of the target sample to be tested are obtained through multiple information collection methods. The experimental characteristics of the target sample are matched and analyzed with the standardized description to determine the target experiment type corresponding to the target sample.

[0012] According to the target experiment type, the corresponding experimental scheme is extracted from the standardized description, and the target sample is subjected to automated experiment according to the extracted experimental scheme to obtain the mechanical properties of the target sample. The obtained experimental results are stored in the corresponding storage files. The extracted experimental scheme includes mechanical property calculation formulas.

[0013] Optionally, in one embodiment of this application, the various conventional rock mechanics experimental schemes include: uniaxial compression test, conventional triaxial compression test, true triaxial compression test, three-point bending test, direct tensile test, and Brazilian splitting test; the various experimental features include: sample type, sample shape, sample size, experimental environment, action surface, force direction, force magnitude, and mechanical index calculation formula.

[0014] Optionally, in one embodiment of this application, the step of performing automated experiments on the target samples according to the extracted experimental plan includes: when there are multiple target samples, dividing the multiple target samples according to the target experiment type corresponding to each target sample; and performing batch experiments on the same batch of target samples that are to undergo the same experiment according to the corresponding experimental plan.

[0015] Optionally, in one embodiment of this application, before conducting batch experiments according to the corresponding experimental scheme, the method further includes: modifying existing experimental equipment based on the standardized description, wherein the modified experimental equipment supports automated and batch rock mechanics experiments.

[0016] Optionally, in one embodiment of this application, after storing the obtained experimental results into corresponding storage files, the method further includes: acquiring a large amount of experimental result data stored in each type of storage file, and analyzing and mining the large amount of experimental result data based on big data technology to obtain the depth characteristics of the rock sample; wherein, the analysis and mining of the large amount of experimental result data based on big data technology includes: performing statistical and computational processing on the large amount of experimental result data to solve for each descriptive feature of the large amount of experimental result data; and mining the relationship between different experimental features and the mechanical index based on the descriptive features.

[0017] Optionally, in one embodiment of this application, the standardized description of the rock mechanics experiment includes: a sample property module, a sample parameter module, a sample experiment module, an experiment solution module, and a result output module; wherein, the sample property module stores data including the shape and type of the rock sample; the sample parameter module stores data including multiple dimensional data of the rock sample; the sample experiment module stores data including the experimental environment, stress conditions, and action surfaces; the experiment solution module stores data including experimental principles and mechanical index solution formulas; and the result output module stores data including various experimental results.

[0018] To achieve the above objectives, a second aspect of this application also proposes a standardized experimental apparatus for rock mechanics experiments, comprising the following modules:

[0019] The collection module is used to collect various conventional rock mechanics experimental schemes, determine multiple experimental characteristics of each conventional rock mechanics experiment, and break down the steps of each conventional rock mechanics experiment based on the multiple experimental characteristics.

[0020] The storage module is used to store each experimental feature of each conventional rock mechanics experiment into a corresponding storage file according to the standard format corresponding to each experimental feature, so as to generate a standardized description of the rock mechanics experiment.

[0021] The analysis module is used to acquire various experimental features of the target sample to be tested through multiple information acquisition methods, match and analyze the various experimental features of the target sample with the standardized description, and determine the target experiment type corresponding to the target sample.

[0022] The experimental module is used to extract the corresponding experimental scheme from the standardized description according to the target experimental type, perform automated experiments on the target sample according to the extracted experimental scheme, obtain the mechanical properties of the target sample, and store the obtained experimental results into the corresponding storage files. The extracted experimental scheme includes mechanical property calculation formulas.

[0023] To implement the above embodiments, a third aspect of this application also proposes a non-transitory computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the standardized experimental method for rock mechanics experiments in the first aspect of the embodiment.

[0024] The technical solution provided by the embodiments of this application brings at least the following beneficial effects: This application first breaks down common rock mechanics experiment types according to the stress characteristics of rock samples in different environmental fields, and stores them in a unified format. Then, by analyzing the various characteristics of the sample, the corresponding experiment type and specific mechanical index theoretical solution formulas can be automatically determined. After conducting the experiment according to the standardized process, the mechanical indexes and other corresponding mechanical parameters of the sample can be directly obtained. Thus, based on the standardized experimental scheme description, this application enables batch and automated rock mechanics experiments. Through the automation of laboratory equipment and the standardization of experimental procedures, the effects of optimizing and increasing efficiency, reducing costs, and improving quality control in rock mechanics experiments are achieved. This application is conducive to carrying out batch testing, improving experimental efficiency, reducing experimental costs, and ensuring the accuracy and reliability of experimental results.

[0025] Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0026] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein:

[0027] Figure 1 A flowchart illustrating a standardized experimental method for rock mechanics experiments proposed in this application embodiment;

[0028] Figure 2 This is a schematic diagram of a uniaxial compression experiment proposed in an embodiment of this application;

[0029] Figure 3 This is a schematic diagram of a conventional triaxial compression experiment proposed in an embodiment of this application;

[0030] Figure 4 This is a schematic diagram of a true triaxial compression experiment proposed in an embodiment of this application;

[0031] Figure 5 This is a schematic diagram of a three-point bending experiment proposed in an embodiment of this application;

[0032] Figure 6 This is a schematic diagram of another three-point bending experiment proposed in an embodiment of this application;

[0033] Figure 7 This is a schematic diagram of a direct tensile test proposed in an embodiment of this application;

[0034] Figure 8 This is a schematic diagram of a Brazilian splitting experiment proposed in an embodiment of this application;

[0035] Figure 9 This is a schematic diagram of the structure of a standardized experimental apparatus for rock mechanics experiments proposed in an embodiment of this application. Detailed Implementation

[0036] Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain the present invention, and should not be construed as limiting the present invention.

[0037] The following description, with reference to the accompanying drawings, illustrates a standardized experimental method and apparatus for rock mechanics experiments proposed in an embodiment of the present invention.

[0038] Figure 1 This is a flowchart of a standardized experimental method for rock mechanics experiments proposed in an embodiment of this application, as shown below. Figure 1 As shown, the method includes the following steps:

[0039] Step S101: Collect various conventional rock mechanics experimental schemes and determine multiple experimental characteristics of each conventional rock mechanics experiment. Based on these multiple experimental characteristics, break down the steps of each conventional rock mechanics experiment.

[0040] Specifically, we first need to obtain various common rock mechanics experimental schemes. Since the collected rock mechanics experiments are existing routine experiments, the experimental schemes are known. We can directly obtain the specific experimental schemes of various routine rock mechanics experiments by calling historical data and collecting relevant information.

[0041] It should be noted that the types and number of conventional rock mechanics experimental schemes collected in this application can be determined based on the needs of standardized experiments and the current situation in the field of rock mechanics parameter testing. For example, based on the various rock mechanics parameters to be solved in standardized experiments, all commonly used rock mechanics experiments that can solve the above-mentioned rock mechanics parameters can be collected.

[0042] In one embodiment of this application, various conventional rock mechanics experimental schemes are collected, including: uniaxial compression test, conventional triaxial compression test, true triaxial compression test, three-point bending test, direct tension test, and Brazilian splitting test. The force conditions in each of the above conventional rock mechanics experiments are as follows: Figures 2 to 8 As shown.

[0043] Furthermore, multiple experimental characteristics of each conventional rock mechanics experiment are identified, and the steps of each conventional rock mechanics experiment are broken down based on these multiple experimental characteristics.

[0044] Among them, experimental characteristics are characteristic parameters related to rock mechanics experiments. Experimental characteristics can be parameters of rock samples, such as sample size, or parameters related to the experimental scheme, such as experimental environment.

[0045] Specifically, in this embodiment, since various conventional rock mechanics experimental schemes are known, it is possible to directly obtain multiple experimental characteristics of each scheme, such as the experimental environment (force field, temperature field, or magnetic field), and the stress characteristics of the rock sample in the environmental field, for example, such as... Figures 2 to 8 The diagram shows the compressive and tensile forces that may be applied in different experiments.

[0046] Furthermore, the purpose of this application is to break down existing and commonly used rock mechanics experimental types, and to decompose the various stages involved in these experimental types using a unified method or format. For example, based on the determination of various experimental characteristics, the stages involved in the collected experimental schemes, including determining the sample type, sample shape, sample size, environmental field, and the form of action of the environmental field during the experiment (generally including the area, direction, magnitude, and velocity of the environmental field applied to the sample), are decomposed in detail through each experimental characteristic, which facilitates subsequent corresponding storage in a standardized and regular format.

[0047] Step S102: According to the standard format corresponding to each experimental feature, store each experimental feature of each conventional rock mechanics experiment into the corresponding storage file to generate a standardized description of the rock mechanics experiment.

[0048] Specifically, a corresponding storage file is pre-assigned for each experimental feature. After analyzing and collecting various rock mechanics experimental schemes in the previous step to determine the experimental features corresponding to each rock mechanics experiment, for each experimental feature, according to the unified description format of the feature, each specific experimental feature of each conventional rock mechanics experiment is stored in the corresponding storage file.

[0049] After the experimental scheme is broken down in detail, this step stores the broken-down steps in a regular and standard format. This includes storing the direct output parameters involved in the experiment (such as the magnitude of the force), as well as the solvable mechanical indices and the theoretical formulas required to solve for those indices.

[0050] The purpose of this application in breaking down the above-mentioned experimental schemes and providing detailed descriptions of each experimental feature is to achieve standardized descriptions and standardized storage of various experimental types by breaking down the details of each experimental type, thereby facilitating unified management of experimental schemes and providing technical support for subsequent standardized mechanical experiments.

[0051] In one embodiment of this application, multiple experimental features include: sample type, sample shape, experimental environment, surface of action, direction of force, and formulas for solving mechanical parameters. These features can be determined by analyzing collected conventional rock mechanics experimental schemes. In addition, experimental features also include some characteristics obtained through detection and solving during the experiment, such as sample size and the magnitude of the force.

[0052] The experimental features involved in this application are described in detail below:

[0053] The first type is sample type. Sample type includes parameters that distinguish different samples, such as lithology, origin, sample number, and serial number. Among these, lithology can determine the lithology of each sample that can be supported for a conventional rock mechanics experiment. Before conducting the experiment, the lithology, origin, sample number, and serial number of the sample can also be determined through various testing techniques and by obtaining user input data.

[0054] Sample types can be uniformly described using the various parameter keywords mentioned above, and the sample types for each experiment can be stored in the corresponding storage files.

[0055] The second type is sample shape. The sample shapes in this application refer to the shapes of rock samples applicable to conventional rock mechanics experimental schemes, including cuboids, cubes, cylinders, disks, hemispherical disks, spheres, and dog bone shapes, etc. Sample shapes corresponding to different conventional rock mechanics experimental schemes can be stored in corresponding storage files.

[0056] The third type is sample size. Sample size includes the length, width, height, diameter, and radius of the sample. This feature is obtained by direct measurement during the experiment, and the units are uniformly in the International System of Units (SI). The collected parameters are then stored in the corresponding storage files.

[0057] The fourth type is the experimental environment. The experimental environment refers to the environmental field variables used in the experiment, including force field, temperature field, magnetic field, disturbance field, liquid field, and gas field, etc. The environmental fields used in different conventional rock mechanics experimental schemes can be stored in the corresponding storage files.

[0058] The fifth type is the surface of action. The surface of action is the surface on which the sample is subjected to force, such as... Figures 2 to 8 As shown, it can include the planar ends of the sample in the upper, lower, left, right, front and back directions, as well as the arc end, semi-circular arc end and other force-bearing surfaces. The action surfaces corresponding to different conventional rock mechanics experimental schemes can be stored in the corresponding storage files.

[0059] The sixth characteristic is the magnitude of the force. This characteristic can also be obtained through actual measurement during the experiment, and the actual test results can be stored in the corresponding storage file.

[0060] The seventh type is the direction of the force. In this application, the direction of the force is based on the normal direction, which is divided into normal inward (i.e., perpendicular to the surface of action and pointing towards the surface of action) and normal outward (i.e., perpendicular to the surface of action and away from the surface of action). The direction of the force used in different experimental schemes can be stored in the corresponding storage file.

[0061] The eighth method involves using mechanical property calculation formulas. Different mechanical calculation formulas are stored based on the different mechanical properties to be obtained through the experiment. Parameters detected during the experiment, such as sample size and the magnitude of the applied force, are substituted into the relevant formulas to solve for the corresponding mechanical properties.

[0062] The ninth type is the mechanical index. The mechanical index is the final experimental result obtained by solving the above-mentioned forces, surface areas, and mechanical index calculation formulas, and the experimental result data can be stored in the corresponding storage file.

[0063] As can be understood, as mentioned above, in this step, specific data of some experimental characteristics can be determined by analyzing the collected experimental schemes. For example, for a certain mechanical experiment, its experimental environment and force direction can be determined. For characteristics that need to be measured experimentally and specified by the user during the experiment, in this step, they can be tentatively determined by the "actual situation".

[0064] As an example, the standardized description of the rock mechanics experiment generated in this application is shown in Table 1 below.

[0065] Table 1 Standardized Description of Rock Mechanics Experiments

[0066]

[0067]

[0068]

[0069]

[0070]

[0071] As shown in Table 1, the three-point bending experiment can be divided into two cases based on the sample shape: a semi-disc and a cube. This application breaks down various conventional rock mechanics experimental schemes and stores them according to the characteristics of each experiment. The different storage files form a standard description of the experiment, thus forming an organic whole as shown in Table 1.

[0072] Therefore, this application categorizes the collected common experimental schemes into multiple experimental features, standardizes their descriptions or definitions, and stores each feature in a unified format in a corresponding storage file, generating a standardized description of rock mechanics experiments. Completing these tasks facilitates subsequent automated and batch experiments.

[0073] Step S103: Obtain the various experimental features of the target sample to be tested through multiple information collection methods, match and analyze the various experimental features of the target sample with the standardized description, and determine the target experiment type corresponding to the target sample.

[0074] Specifically, for the rock sample to be tested (hereinafter referred to as the target sample in this application), by analyzing the above-mentioned characteristics of the target sample, the type of experiment to be performed on the target sample can be automatically determined. Among them, the various experimental characteristics corresponding to the target sample can be obtained through various information acquisition methods.

[0075] For example, the origin and serial number of the sample can be obtained by receiving user input through the human-computer interface of the experimental equipment. Sample dimensions and the area of ​​the working surface can be measured using various measuring tools. The experimental environment and the mechanical properties to be solved can be specified by the user according to actual experimental requirements.

[0076] One possible implementation is to match the various experimental characteristics of the target sample determined by analysis with the various experimental characteristics stored in the standardized description in the above embodiments, and take the experimental scheme that matches the experimental characteristics as the target experiment type to be performed. For example, based on the supported experimental environment being a force field and the mechanical index to be solved being the compressive strength in one direction, a uniaxial compression experiment can be determined as the target experiment type to be performed on the target sample. Another possible implementation is that the user can directly specify the experimental type to be performed.

[0077] Step S104: Extract the corresponding experimental scheme from the standardized description according to the target experiment type, conduct automated experiments on the target sample according to the extracted experimental scheme to obtain the mechanical properties of the target sample, and store the obtained experimental results into the corresponding storage files. The extracted experimental scheme includes the mechanical property calculation formula.

[0078] Specifically, based on the determined target experiment type, the specific implementation method of the experimental scheme is extracted from the standardized description, including the parameters to be detected, such as the area of ​​the action surface and the magnitude of the force during the experiment, as well as the formula for solving the mechanical index. By conducting the experiment on the target sample according to the extracted experimental scheme, the required mechanical index can be automatically solved.

[0079] For example, in a uniaxial compression test, the calculated uniaxial compressive strength, determined by the extracted mechanical index formula, is equal to the maximum force value during the entire test divided by the area of ​​the acting surface. The calculation method for the acting surface area is the same as that specified in conventional geometry. Similarly, in a conventional triaxial compression test, the conventional triaxial compressive strength is equal to the maximum force acting on the upper and lower planes during the entire test divided by the area of ​​the plane ends.

[0080] It should be noted that this application achieves the standardization of experimental procedures and the automation of experimental equipment. Users only need to input the corresponding data according to different experimental characteristics in the interactive interface of the relevant application, store the user input data in the relevant storage file in the above embodiment, and perform the related calculations in steps S103 to S104 to realize the automatic identification of experimental types and the automated operation of experimental processes. It can realize functions such as automatic operation of experimental equipment, optimization and comparison of experimental schemes, and autonomous collection and storage of experimental data.

[0081] In order to automate the operation of laboratory equipment and execute the standardized experimental methods of this application, it is necessary to modify and upgrade the experimental equipment in advance so that it can be used in actual experiments. Therefore, in one embodiment of this application, before conducting batch experiments according to the corresponding experimental plan, the method further includes: modifying the existing experimental equipment based on the standardized description, wherein the modified experimental equipment supports automated and batch rock mechanics experiments.

[0082] Specifically, in this embodiment, the modification of the experimental equipment includes allocating corresponding storage files for each experimental feature in the equipment's database for data storage, and developing a related human-computer interaction interface to receive user input data and display experimental results, thereby enabling autonomous data collection and storage. Furthermore, the control and operation modules of the experimental equipment are upgraded in both software and hardware to support automated and batch experimental operations.

[0083] For example, the human-computer interaction interface of this application can list the experimental features that need to be set in a table. The user can input the data in the corresponding position according to the name of the experimental feature. Then, the experimental equipment automatically stores the input data to the corresponding storage file. After the experiment is carried out according to the standardized experimental method of this application, the experimental results are automatically stored in the corresponding storage file and displayed in a table. For example, for features such as sample size, force magnitude and mechanical index value, which are initially displayed as "actual situation" in Table 1 above, the experimental values ​​are displayed in the corresponding position in the table after the experiment.

[0084] The process of batch testing in this application is described below. In one embodiment of this application, automated experiments are performed on target samples according to the extracted experimental plan, including: when there are multiple target samples, dividing the multiple target samples according to the target experiment type corresponding to each target sample; and performing batch experiments on the same batch of target samples that undergo the same experiment according to the corresponding experimental plan.

[0085] Specifically, in this embodiment, when conducting batch testing, after inputting the data of each sample to be tested according to the method in the above embodiment, the experiment to be performed on each sample can be automatically determined. Samples undergoing the same type of experiment are then divided into a batch, and based on the aforementioned upgrades to the experimental equipment, experiments can be performed on all samples within that batch simultaneously, thereby improving experimental efficiency.

[0086] Furthermore, since this application achieves autonomous acquisition and storage of experimental data, as well as automated operation of experimental procedures, it can acquire a large amount of experimental data. To promote the unified, effective management and in-depth mining and utilization of the acquired massive amounts of data, in one embodiment of this application, after storing the various experimental results to their corresponding storage files, the method further includes: acquiring a large amount of experimental result data stored in each type of storage file, and analyzing and mining the large amount of experimental result data based on big data technology to obtain the depth characteristics of the rock samples; wherein, analyzing and mining the large amount of experimental result data based on big data technology includes: performing statistical and computational processing on the large amount of experimental result data to solve for various descriptive features of the large amount of experimental result data; and mining the relationship between different experimental features and mechanical indices based on each descriptive feature.

[0087] Specifically, in this embodiment, a large amount of experimental result data stored in each type of storage file is called, that is, a large amount of historical experimental data automatically saved in the storage files corresponding to each experimental feature. Through big data analysis and mining technology, the deep relationships in the massive amount of data are mined, thereby further enriching the experimental results, improving data utilization, and obtaining deep features in rock mechanics experiments.

[0088] As one possible approach, descriptive and predictive analyses can be employed when analyzing the data. Descriptive analysis involves providing basic statistical descriptions of the massive amounts of mechanical experimental data acquired, such as calculating the mean, variance, and distribution of the data.

[0089] Furthermore, the relationships between different experimental features and mechanical indices are mined using the obtained descriptive features. During this process, methods such as data regression and association rule establishment can be employed. Regression is used to build a mathematical model describing the relationships between feature variables, and predictive analysis can be performed based on these relationships. Predictive analysis utilizes the relationships between feature variables to train the model. Through techniques such as deep learning, complex models can be built, and the trained model can be used to predict certain features of samples of different types and shapes. Association rules, on the other hand, construct the relationships between data items. In this embodiment, the relationships between different experimental features and mechanical indices can be constructed by combining actual experimental data and model prediction results.

[0090] For example, a predictive model can be used to predict certain mechanical properties, such as uniaxial compressive strength, of samples with different lithologies, sizes, and shapes. The parameters of the predictive model can then be corrected based on actual experimental data to improve prediction accuracy. Based on the model's predictions of various input data after testing, a general relationship between the lithology, size, and shape of rock samples and their uniaxial compressive strength can be obtained.

[0091] In one embodiment of this application, the standardized description of the rock mechanics experiment of this application can also be divided into several modules, including: sample property module, sample parameter module, sample experiment module, experiment solution module and result output module.

[0092] The sample's properties module stores data including the rock sample's shape and type, specifically its shape, origin, mining area, and lithology. The sample's parameters module stores multiple dimensional data, including length, width, height, diameter, and weight. The sample's experimental module stores data from the experimental process, including experimental environment, stress conditions, and the surface of action. The experimental solution module stores experimental principles and mechanical index calculation formulas, i.e., the calculation formulas, methods, and principles for various mechanical indices. The results output module stores various experimental results, including mechanical indices, deformation, displacement, strain, and failure characteristics.

[0093] In this embodiment, corresponding storage folders can be created for each of the above modules to facilitate the storage of data produced by each module.

[0094] It should be noted that the rock mechanics experiments applicable to this application are not limited to those described above. Figures 2 to 8The experiments shown in this application can be standardized and described and stored for other mechanical experiments as described in this application. After breaking down common rock mechanics experimental schemes according to the above process, a series of parameters corresponding to each experimental characteristic are obtained and stored in modules. During actual experiments, the data stored in each module are used for process-oriented calculations, thereby realizing the automation and standardization of rock mechanics experiments.

[0095] In summary, the standardized experimental method for rock mechanics experiments in this application first breaks down common rock mechanics experiment types according to the stress characteristics of rock samples in different environmental fields, and stores these breakdowns in a unified format. Then, by analyzing the various characteristics of the sample, the corresponding experiment type and specific theoretical formulas for solving mechanical indices can be automatically determined. After conducting the experiment according to the standardized procedure, the mechanical indices and other corresponding mechanical parameters of the sample can be directly obtained. Therefore, this method, based on standardized experimental procedure descriptions, enables batch and automated rock mechanics experiments. Through automation of laboratory equipment and standardization of experimental procedures, it achieves the effects of optimizing efficiency, reducing costs, and improving quality control in rock mechanics experiments. This method is beneficial for conducting batch testing, improving experimental efficiency, reducing experimental costs, and ensuring the accuracy and reliability of experimental results.

[0096] To achieve the above embodiments, this application also proposes a standardized experimental apparatus for rock mechanics experiments. Figure 9 This is a schematic diagram of the structure of a standardized experimental apparatus for rock mechanics experiments proposed in an embodiment of this application, as shown below. Figure 9 As shown, the device includes a collection module 100, a storage module 200, an analysis module 300, and an experimental module 400.

[0097] The collection module 100 is used to collect various conventional rock mechanics experimental schemes, determine multiple experimental characteristics of each conventional rock mechanics experiment, and break down the steps of each conventional rock mechanics experiment according to the multiple experimental characteristics.

[0098] The storage module 200 is used to store each experimental feature of each conventional rock mechanics experiment into a corresponding storage file according to the standard format corresponding to each experimental feature, so as to generate a standardized description of the rock mechanics experiment.

[0099] The analysis module 300 is used to acquire various experimental features of the target sample to be tested through multiple information acquisition methods, match and analyze the various experimental features of the target sample with the standardized description, and determine the target experiment type corresponding to the target sample.

[0100] Experiment module 400 is used to extract the corresponding experimental scheme from the standardized description according to the target experimental type, perform automated experiments on the target sample according to the extracted experimental scheme, obtain the mechanical properties of the target sample, and store the obtained experimental results to the corresponding storage files. The extracted experimental scheme includes the mechanical property calculation formula.

[0101] Optionally, in one embodiment of this application, the experiment module 400 is specifically used for: when there are multiple target samples, dividing the multiple target samples according to the target experiment type corresponding to each target sample; and performing batch experiments on the same batch of target samples that are to undergo the same experiment according to the corresponding experimental plan.

[0102] Optionally, in one embodiment of this application, the experimental module 400 is specifically used to: modify existing experimental equipment based on standardized descriptions, wherein the modified experimental equipment supports automated and batch rock mechanics experiments.

[0103] Optionally, in one embodiment of this application, the device further includes a mining module, which is specifically used to: acquire a large amount of experimental result data stored in each type of storage file, and analyze and mine the large amount of experimental result data based on big data technology to obtain the depth characteristics of the rock sample; wherein, analyzing and mining the large amount of experimental result data based on big data technology includes: performing statistical and computational processing on the large amount of experimental result data to solve for each descriptive feature of the large amount of experimental result data; and mining the relationship between different experimental features and mechanical indicators based on each descriptive feature.

[0104] It should be noted that the explanation of the aforementioned embodiment of the standardized experimental method for rock mechanics experiments also applies to the apparatus of this embodiment, and the implementation principle is similar, so it will not be repeated here.

[0105] In summary, the standardized experimental apparatus for rock mechanics experiments in this application first breaks down common rock mechanics experiment types according to the stress characteristics of rock samples in different environmental fields, and stores them in a unified format. Then, by analyzing the various characteristics of the sample, the corresponding experimental type and specific mechanical index theoretical solution formulas can be automatically determined. After conducting the experiment according to the standardized process, the mechanical indices and other corresponding mechanical parameters of the sample can be directly obtained. Thus, based on the standardized experimental scheme description, this apparatus can perform batch and automated rock mechanics experiments. Through the automation of laboratory equipment and the standardization of experimental procedures, it achieves the effects of optimizing efficiency, reducing costs, and improving quality control in rock mechanics experiments. This apparatus is conducive to conducting batch testing, improving experimental efficiency, reducing experimental costs, and ensuring the accuracy and reliability of experimental results.

[0106] To implement the above embodiments, this application also proposes a non-transitory computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements a standardized experimental method for rock mechanics experiments as described in any of the above embodiments.

[0107] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0108] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "multiple" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0109] Any process or method description in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or more executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as should be understood by those skilled in the art to which embodiments of this application pertain.

[0110] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Alternatively, the computer-readable medium may be paper or other suitable media on which the program can be printed, since the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.

[0111] It should be understood that various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0112] Those skilled in the art will understand that all or part of the steps of the methods in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.

[0113] Furthermore, the functional units in the various embodiments of this application can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0114] The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc. Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of this application.

Claims

1. A standardized experimental method of rock mechanics experiments, characterized by, The method comprises the following steps: Collecting a plurality of conventional rock mechanics experiment schemes, and determining a plurality of experimental characteristics of each conventional rock mechanics experiment, and splitting each link of the conventional rock mechanics experiment according to the experimental characteristics; Storing each experimental characteristic of each conventional rock mechanics experiment into a corresponding storage file according to a standard format corresponding to each experimental characteristic, to generate a standardized description of the rock mechanics experiment; Obtaining each experimental characteristic of a target sample to be experimented by a plurality of information collection methods, matching and analyzing each experimental characteristic of the target sample with the standardized description, and determining a target experiment type corresponding to the target sample; Extracting a corresponding experiment scheme from the standardized description according to the target experiment type, and performing automatic experiment on the target sample according to the extracted experiment scheme, to obtain a mechanical index of the target sample, and storing each type of experimental result obtained into a corresponding storage file, wherein the extracted experiment scheme comprises a mechanical index solving formula; The automatic experiment on the target sample according to the extracted experiment scheme comprises: When there are a plurality of target samples, dividing the plurality of target samples according to a target experiment type corresponding to each target sample; Performing batch experiment on target samples of the same batch according to a corresponding experiment scheme; Before the batch experiment according to the corresponding experiment scheme, the method further comprises: Reforming an existing experimental equipment based on the standardized description, wherein the reformed experimental equipment supports automatic and batch rock mechanics experiment.

2. The method of claim 1, wherein, The plurality of conventional rock mechanics experiment schemes comprise uniaxial compression experiment, conventional triaxial compression experiment, true triaxial compression experiment, three-point bending experiment, direct tension experiment and Brazilian splitting experiment; The plurality of experimental characteristics comprise sample type, sample shape, sample size, experimental environment, acting surface, force direction, force size and mechanical index solving formula.

3. The method of claim 1, wherein, After storing each type of experimental result obtained into a corresponding storage file, the method further comprises: Obtaining a large amount of experimental result data stored in each type of storage file, and analyzing and mining the large amount of experimental result data based on big data technology, to obtain deep features of rock samples; The analysis and mining of the large amount of experimental result data based on big data technology comprises: Statistically and computationally processing the large amount of experimental result data, to solve each description feature of the large amount of experimental result data; Mining the relationship between different experimental characteristics and the mechanical index based on the description features.

4. The method of claim 1, wherein, The standardized description of the rock mechanics experiment comprises a sample attribute module, a sample parameter module, a sample experiment module, an experiment solving module and a result output module; wherein The data stored in the sample attribute module comprises the shape and type of the rock sample; The data stored in the sample parameter module comprises a plurality of size data of the rock sample; The data stored in the sample experiment module comprises experimental environment, stress condition and acting surface; The data stored by the experiment solving module include experiment principles and mechanical index solving formulas; The data stored by the result output module include various experiment results.

5. A standardized experimental apparatus for rock mechanics experiments, characterized by, Comprise: A collection module, configured to collect various conventional rock mechanics experiment schemes, determine a plurality of experiment characteristics of each conventional rock mechanics experiment, and split each conventional rock mechanics experiment into segments according to the plurality of experiment characteristics; A storage module, configured to store each experiment characteristic of each conventional rock mechanics experiment into a corresponding storage file according to a standard format corresponding to each experiment characteristic, to generate a standardized description of the rock mechanics experiment; An analysis module, configured to acquire each experiment characteristic of a target sample to be experimented by various information acquisition manners, perform matching analysis on each experiment characteristic of the target sample and the standardized description, and determine a target experiment type corresponding to the target sample; An experiment module, configured to extract a corresponding experiment scheme from the standardized description according to the target experiment type, perform automatic experiment on the target sample according to the extracted experiment scheme, obtain a mechanical index of the target sample, and store various obtained experiment results into corresponding storage files, wherein the extracted experiment scheme includes a mechanical index solving formula; The experiment module is specifically configured to: When the target sample is a plurality of target samples, divide the plurality of target samples according to target experiment types corresponding to each target sample; For target samples of the same batch that perform the same experiment, perform batch experiment according to a corresponding experiment scheme; The experiment module is specifically configured to: Based on the standardized description, modify an existing experiment device, wherein the modified experiment device supports automatic and batch rock mechanics experiments.

6. A non-transitory computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by a processor to implement the standardized experiment method of the rock mechanics experiment in any one of claims 1-4. The computer program is executed by a processor to implement the standardized experiment method of the rock mechanics experiment in any one of claims 1-4.

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