CN-122022128-A - Laboratory static load evaluation method for control effect of surrounding rock of coal mine spraying support material

CN122022128ACN 122022128 ACN122022128 ACN 122022128ACN-122022128-A

Abstract

The invention relates to the technical field of coal mine roadway support, and provides a laboratory static load evaluation method for a surrounding rock control effect of a coal mine spraying support material. The method comprises the steps of obtaining a static load test data set of a spraying sample set and an untreated sample set, wherein the data set comprises load, strain and acoustic emission signals collected through a static load test, calculating multidimensional evaluation indexes representing the cooperative control effect of a spraying material and surrounding rock based on the static load test data set, inputting the multidimensional evaluation indexes into a trained neural network model to obtain a comprehensive judgment result of the control effect of the surrounding rock of the spraying support material, and outputting the comprehensive judgment result by checking the physical consistency of the change among different multidimensional evaluation indexes through the neural network model. The problem that in the prior art, the actual supporting effect can not be reflected after the physical and mechanical property test is carried out on the spraying supporting material, and the control effect on the surrounding rock under the static loading condition of different spraying supporting materials can be scientifically evaluated can be solved.

Inventors

LI PENGJIE
YUAN GUIYANG
XI CHAODONG
GAO FUQIANG
LU ZHIGUO
LOU JINFU
YANG LEI
WANG XIAOQING
LI JIANZHONG
LIU WENJU
ZHU GUANGPEI

Assignees

中煤科工开采研究院有限公司

Dates

Publication Date: 20260512
Application Date: 20251229

Claims (10)

1. A laboratory static load evaluation method for the control effect of surrounding rock of a coal mine spraying support material is characterized by comprising the following steps: Acquiring a static load test data set of a spraying sample group and an untreated sample group, wherein the data set comprises load, strain and acoustic emission signals acquired through a static load test; Based on the static load test data set, calculating a multidimensional evaluation index for representing the cooperative control effect of the spraying material and the surrounding rock; Inputting the multidimensional evaluation indexes into a trained neural network model to obtain a comprehensive judgment result of the control effect of the surrounding rock of the spraying support material, wherein the neural network model outputs the comprehensive judgment result of the control effect of the surrounding rock of the spraying support material by checking the physical consistency of the change among different multidimensional evaluation indexes.
2. The laboratory static load evaluation method for the surrounding rock control effect of the coal mine spraying support material according to claim 1, wherein calculating a multidimensional evaluation index representing the cooperative control effect of the spraying material and the surrounding rock based on the static load test data set comprises: Extracting original data for calculating various evaluation indexes from the static load test data set, wherein the original data comprises stress-strain curve characteristic point data, acoustic emission signal accumulation parameters, test peak strength and related geometric parameters; According to the original data, parameters for comparing the spraying sample group with the untreated sample group on each evaluation index are respectively determined; determining an evaluation value of each evaluation index according to parameters of the spray sample group and the untreated sample group, which correspond to the comparison between groups; and combining the calculated evaluation values to form the multi-dimensional evaluation index.
3. The laboratory static load evaluation method for the control effect of surrounding rock of a coal mine spraying support material according to claim 1, wherein the static load test comprises a uniaxial compression test, a uniaxial tensile test, a shear strength test, a point load strength test and a triaxial compression test; and the acoustic emission signals are synchronously collected in a uniaxial compression test.
4. The laboratory static load evaluation method of the surrounding rock control effect of the coal mine spray coating support material according to claim 1, wherein the multi-dimensional evaluation index comprises a plurality of uniaxial compressive strength change rate, uniaxial compressive elastic modulus change rate, uniaxial compressive poisson ratio change rate, uniaxial secant modulus change rate, uniaxial initial deformation index, uniaxial post-peak residual strength change rate, uniaxial breaking strain change rate, brittleness index change rate, fracture suppression index, acoustic emission energy release change rate, tensile enhancement index, shear strength change rate, point load strength change rate, triaxial compressive strength change rate, cohesive force change index, internal friction angle change rate, triaxial compressive elastic modulus change rate, triaxial residual strength change rate, triaxial breaking strain change rate, and performance discreteness improvement coefficient.
5. The laboratory static load evaluation method for the surrounding rock control effect of the coal mine spraying support material according to claim 1, wherein the neural network model is trained by the following modes: Acquiring a training data set, wherein the training data set comprises a plurality of groups of sample data, and each group of sample data comprises a multi-dimensional evaluation index obtained by calculating mechanical response data of a spraying sample and an unprocessed sample and a corresponding reference evaluation grade label; performing data enhancement on the training data set by adopting a variation self-encoder model to generate an extended sample for model training, thereby obtaining an enhanced data set; Taking the evaluation index in the enhanced data set as an input characteristic, taking a corresponding reference evaluation grade label as a training target, training a deep neural network model by minimizing a composite loss function, and taking the trained deep neural network model as the neural network model; The composite loss function is determined according to classification error loss and physical consistency constraint loss, the classification error loss is determined according to prediction probability distribution output by a model and a real standard evaluation grade label, the physical consistency constraint loss is determined according to a prediction score relation of sample pairs in a training batch, the sample pairs are selected according to a physical performance quality relation of the sample pairs to input features, and samples with better physical performance have prediction scores not lower than those of samples with poorer physical performance.
6. The laboratory static load evaluation method for the control effect of surrounding rock of coal mine spraying support material according to claim 5, wherein the physical consistency constraint loss is determined according to the following manner: for all selected sample pairs, calculating hinge loss according to the prediction score relation of each sample pair, and determining the physical consistency constraint loss according to the hinge loss of all sample pairs; The method comprises the steps of judging a sample pair consisting of a sample with better physical performance and a sample with worse physical performance according to input characteristics, respectively calculating a prediction score of the sample with better physical performance and a prediction score of the sample with worse physical performance, if the prediction score of the sample with better physical performance is smaller than or equal to the prediction score of the sample with worse physical performance, calculating hinge loss according to the prediction score of the sample with better physical performance and the prediction score of the sample with worse physical performance, otherwise, the hinge loss of the sample pair is zero.
7. Laboratory static load evaluation device of colliery spraying support material country rock control effect, characterized in that includes: the data acquisition module is used for acquiring static load test data sets of the spraying sample group and the untreated sample group, wherein the data sets comprise load, strain and acoustic emission signals acquired through a static load test; the parameter calculation module is used for calculating a multidimensional evaluation index representing the cooperative control effect of the spraying material and the surrounding rock based on the static load test data set; The effect evaluation module is used for inputting the multidimensional evaluation indexes into a trained neural network model to obtain a comprehensive judgment result of the control effect of the surrounding rock of the spraying support material, wherein the neural network model outputs the comprehensive judgment result of the control effect of the surrounding rock of the spraying support material by checking the physical consistency of the change among different multidimensional evaluation indexes.
8. An electronic device comprising a memory, a processor and a computer program stored on the memory and running on the processor, wherein the processor when executing the computer program implements a laboratory static load assessment method of the control effect of surrounding rock of a coal mine spray support material as claimed in any one of claims 1 to 6.
9. A non-transitory computer readable storage medium having stored thereon a computer program, wherein the computer program when executed by a processor implements a laboratory dead load evaluation method of controlling the effect of surrounding rock of a coal mine spray support material as claimed in any one of claims 1 to 6.
10. A computer program product comprising a computer program which when executed by a processor implements a laboratory dead load assessment method of the control effect of surrounding rock of a coal mine spray support material as claimed in any one of claims 1 to 6.

Description

Laboratory static load evaluation method for control effect of surrounding rock of coal mine spraying support material Technical Field The invention relates to the technical field of coal mine roadway support, in particular to a laboratory static load evaluation method for a surrounding rock control effect of a coal mine spraying support material. Background In underground coal mine engineering, roadways are key life line engineering for guaranteeing production, transportation and ventilation. Along with the continuous increase of mining depth and ground stress, the stability control of surrounding rock of a roadway faces an increasingly serious challenge, and particularly in a soft rock roadway with complex geological conditions, the problems of large deformation, loosening and crushing of the surrounding rock and the like are particularly remarkable, so that the safety production of a mine is seriously threatened. In recent years, novel coal mine spraying support technology has been developed and developed rapidly. According to the technology, special polymer materials (such as polyurethane, epoxy resin, modified cement-based composite materials and the like) are coated on the surface of the surrounding rock of the roadway in a spraying manner, and a spraying layer which is compact, high in strength and good in cohesiveness and toughness is formed after rapid solidification. The artificial structure can effectively seal the surface cracks of the surrounding rock, prevent weathering deliquescence, and provide continuous radial and tangential supporting force through the cooperative deformation with the surrounding rock, thereby improving the stress state of the surrounding rock and controlling the deformation and damage of the surrounding rock, and is an active and flexible supporting means with great potential. At present, mechanical property evaluation of the spraying support material under static loading conditions is mainly focused on physical and mechanical property tests of the spraying support material, and the tests can reflect the basic performance of the spraying support material, but cannot directly reveal the actual support effect after the interaction of the spraying support material and surrounding rock. Disclosure of Invention The invention provides a laboratory static load evaluation method for the surrounding rock control effect of a coal mine spraying supporting material, which is used for solving the problem that the actual supporting effect of the spraying supporting material after interaction with the surrounding rock cannot be reflected only by carrying out physical and mechanical property test on the spraying supporting material in the prior art, and realizing scientific evaluation on the surrounding rock control effect under different static loading conditions of the spraying supporting material. The technical scheme provided by the invention is as follows: in a first aspect, the invention provides a laboratory static load evaluation method for a surrounding rock control effect of a coal mine spraying support material, which comprises the following steps: Acquiring a static load test data set of a spraying sample group and an untreated sample group, wherein the data set comprises load, strain and acoustic emission signals acquired through a static load test; Based on the static load test data set, calculating a multidimensional evaluation index for representing the cooperative control effect of the spraying material and the surrounding rock; Inputting the multidimensional evaluation indexes into a trained neural network model to obtain a comprehensive judgment result of the control effect of the surrounding rock of the spraying support material, wherein the neural network model outputs the comprehensive judgment result of the control effect of the surrounding rock of the spraying support material by checking the physical consistency of the change among different multidimensional evaluation indexes. Optionally, calculating, based on the static load test data set, a multidimensional evaluation index that characterizes a cooperative control effect of the spray material and the surrounding rock, including: Extracting original data for calculating various evaluation indexes from the static load test data set, wherein the original data comprises stress-strain curve characteristic point data, acoustic emission signal accumulation parameters, test peak strength and related geometric parameters; According to the original data, parameters for comparing the spraying sample group with the untreated sample group on each evaluation index are respectively determined; determining an evaluation value of each evaluation index according to parameters of the spray sample group and the untreated sample group, which correspond to the comparison between groups; and combining the calculated evaluation values to form the multi-dimensional evaluation index. Optionally, the static load test comprises a uniaxi