251 results about "Uniaxial compression" patented technology

The invention provides a macroscopic finite element simulation analysis method and device for a sealing element considering plastic deformation, and belongs to the field of sealing element design. The method comprises the following steps: acquiring an engineering stress-strain curve of a plastic material in a compression state; converting the engineering stress-strain curve into a real stress-strain curve; determining a yield limit, and taking a strain point corresponding to the yield limit as a demarcation point of elasticity and plastic deformation; an elastic section of a real stress-strain curve is extracted, the elastic modulus is calculated, and the Poisson's ratio is obtained through axial and transverse strain measurement in a uniaxial compression test; a true stress-strain curve plastic section is extracted, and a multi-linear isotropic hardening model is established; constructing a complete elastic-plastic constitutive model covering the elastic deformation area and the plastic deformation area; the stress distribution, the strain response and the contact performance of the plastic sealing element in a compression deformation state are simulated. According to the method and the device provided by the invention, the problem that the result does not conform to the reality due to the fact that only elastic modulus and Poisson's ratio are used in existing sealing element simulation can be solved.

The invention provides a deep-buried soft rock tunnel supporting structure design method based on energy regulation and control, and belongs to the technical field of tunnel engineering. Comprising the following steps: obtaining components of crustal stress in a large principal stress direction, a middle principal stress direction and a small principal stress direction; manufacturing a rock cylinder test piece and a cube test piece; carrying out a conventional uniaxial compression test on the cylindrical test piece to obtain basic strength parameters of the surrounding rock; carrying out a true triaxial loading and unloading test on the cubic test piece to obtain the ultimate dissipated energy of the surrounding rock; drawing up a tunnel anchor rod supporting structure design scheme; establishing a deep-buried soft rock tunnel calculation model considering the synergistic effect of the surrounding rock and the anchor rod, and calculating the dissipated energy density of the surrounding rock and the absorbed energy of the supporting structure; the instability energy judgment basis of the surrounding rock and the instability energy judgment basis of the anchor rod are calculated; and judging the stability of the surrounding rock and the stability of the anchor rod. The method is suitable for the tunnel in a deep high-energy geological environment, and can reflect the energy driving essence of the instability failure of the high-ground-stress deeply-buried soft rock tunnel.

The invention provides a coal impact tendency evaluation method which comprises the following steps: sampling a coal rock material on an engineering site, and processing the sample into a coal rock test piece with a preset size and a preset shape; carrying out a uniaxial compression experiment on the coal rock test piece, and recording a motion image of an ejection body on the coal rock test piece in the loading process of the coal rock test piece; comparing cosine similarities among the plurality of images in the moving images, and determining the image with the maximum damage degree according to the cosine similarities; analyzing gray level distribution of the image with the maximum damage degree to obtain a gray level histogram; identifying particle information of the broken particles in the image with the maximum damage degree; representing the damage degree of the coal rock material by using the particle information of the crushed particles; and evaluating the coal impact tendency by using the damage degree of the coal rock material. According to the evaluation method for the coal impact tendency disclosed by the invention, a new coal impact tendency evaluation index is provided, the research on the damage process of the coal rock material is perfected, and basic parameters are provided for subsequent early warning of damage of the coal rock material.

The invention discloses a parallel bonding model mesoscopic parameter calibration method, system, equipment and medium, and relates to the technical field of rock mechanics simulation. Comprising the following steps: acquiring a mesomechanics parameter range of a rock test piece; carrying out random interpolation processing on the mesomechanics parameter range to obtain a plurality of random mesomechanics parameters; establishing a parallel bonding model, and performing a uniaxial compression test on the parallel bonding model to obtain a plurality of simulated macro-mechanical parameters corresponding to the random micro-mechanical parameters; training a BP neural network through the input layer training sample and the output layer training sample to obtain a trained BP neural network; and inputting the actual macro-mechanical parameters into the trained BP neural network to obtain the calibrated actual micro-mechanical parameters of the rock test piece to be tested. According to the method, the process of micro-parameter calibration is simplified, the time required for micro-parameter calibration is shortened, and the defects of a traditional trial and error method in the aspect of quantitatively evaluating the matching degree of simulated cracks and laboratory test cracks are overcome.

The invention discloses a coal gangue concrete stress response prediction method based on a physical information neural network. The method comprises the following steps: constructing a stress-strain curve database of coal gangue concrete; acquiring damage variables of the coal gangue concrete in a compaction stage, a yield stage and a fracture stage under uniaxial compression; deducing a mesoscopic statistical damage constitutive model of the coal gangue concrete according to the damage variables: constructing a physical information neural network, and embedding the mesoscopic statistical damage constitutive model and boundary conditions into a loss function of the neural network; performing normalization processing on the coal gangue concrete stress-strain curve database to obtain a data set; training a physical information neural network model according to the training set, and performing hyper-parameter optimization according to the verification set to obtain a trained model; and predicting the stress of the coal gangue concrete by using the trained model according to the test set. According to the method, the damage constitutive equation and the deep learning algorithm are fused, so that high-precision and low-data-demand mechanical property prediction is realized.

The invention discloses a cement stabilized macadam mechanical property analysis method based on maximum aggregate nominal particle size, and relates to the technical field of cement stabilized macadam mechanical property analysis, the method comprises the following steps: preparing skeleton dense type cement stabilized macadam test pieces with different nominal maximum particle sizes; carrying out a macroscopic mechanical test to obtain a stress-strain curve and a crushing value; establishing a three-dimensional discrete element numerical model corresponding to the test piece, performing uniaxial compression simulation, and ensuring the reliability through model verification; and based on the verified model, quantitatively analyzing the contact force distribution, the contact quantity characteristic and the microcrack evolution law from the microscopic level. According to the analysis method disclosed by the invention, a mechanism that the nominal maximum particle size improves the macroscopic performance of the material by regulating and controlling an internal force chain network and inhibiting damage accumulation is disclosed through a macro-micro combination means, and a scientific micro-mechanical basis and a quantitative analysis tool are provided for grading optimization and high-performance design of the cement stabilized macadam base.

The invention discloses a deep well rock mass instability failure time accurate forecasting and early warning system, and relates to the technical field of deep well rock mass failure early warning, and the deep well rock mass instability failure time accurate forecasting and early warning system comprises the following steps: collecting a plurality of deep well rock samples to carry out a uniaxial compression experiment, and collecting acoustic emission signals in real time based on an acoustic emission sensor to obtain original acoustic emission signal data; carrying out self-adaptive preprocessing, and carrying out data classification and integration to obtain rock sample acoustic emission parameter data; constructing an original damage forecasting model, and performing model training and verification optimization based on the rock sample acoustic emission parameter data to obtain a rock damage forecasting model; collecting an acoustic emission signal of the deep well rock mass, and predicting the instability failure time of the deep well rock mass in real time based on the rock failure forecasting model; the method is used for solving the problems that when an existing deep well rock mass damage early warning technology carries out early warning on rock mass instability damage through acoustic emission monitoring, single or few characteristic parameters are manually processed and analyzed, and the early warning reliability and timeliness are not high.

The invention provides a coal rock impact tendency testing and evaluating method based on a dynamic strain gauge, which comprises the following steps: pretreating a coal rock structure standard test piece, performing a uniaxial compression test on the coal rock structure standard test piece, and acquiring a preset index test result of the coal rock structure standard test piece; constructing a model for evaluating the impact tendency of the coal rock structure based on a BP neural network algorithm; and taking the preset index test result as input, and obtaining the impact tendency grade of the to-be-tested coal rock structure test piece by using a BP neural network-based coal rock structure test piece impact tendency evaluation model. The invention further provides a coal rock impact tendency testing and evaluating system based on the dynamic strain gauge. According to the method, the accuracy and reliability of the impact tendency of the coal and rock mass are improved, the precision of the evaluation result is ensured, and the evaluation result of the impact tendency of the coal and rock mass is obtained more conveniently and efficiently.

The invention provides a comprehensive evaluation method for the compressive property of a coal mine grouting reinforcement material. The evaluation method comprises two aspects of static compressive property evaluation and dynamic compressive property evaluation. According to the static compression resistance evaluation, uniaxial compression strength testing is carried out on a grouting reinforcement material test piece, and the compression strength change rule of samples in different aging periods is obtained and used for evaluating the static compression resistance of the samples. According to the dynamic compression resistance evaluation, a Hopkinson pressure bar is adopted for dynamic impact performance testing, strain data, strain rate data and stress data are obtained, and a stress-strain curve is further obtained and used for evaluating the dynamic compression resistance of the sample. The evaluation method disclosed by the invention is relatively comprehensive, comprises two aspects of static compression resistance evaluation and dynamic compression resistance evaluation, can comprehensively and deeply reflect the compression resistance of the grouting reinforcement material, and provides a basis for performance optimization of the grouting reinforcement material and development of a new material.

The invention discloses a method for estimating the boundary shear stress of a salt rock single crystal sliding face, belongs to the technical field of geotechnical engineering mechanics and material mechanics, and establishes a frame capable of directly estimating the boundary shear stress of the salt rock single crystal sliding face based on the Hall-Pearch theory. The mapping from the measurable macromechanical parameters to the boundary shear stress of the microcosmic single crystal slippage surface is realized. The method only needs conventional cold pressing preparation, EBSD grain size data and uniaxial compression test results, and does not need to depend on high-cost FIB microcolumn compression or in-situ nanoindentation tests. The method can provide more accurate material mechanical parameters for salt cavern design, creep stability analysis and underground engineering safety evaluation, and has good engineering applicability and wide engineering application prospects.

The invention discloses a roadway roof damage time prediction method and system, and belongs to the technical field of mine rock mechanics and safety engineering. Comprising the following steps: recognizing a roof rock stratum structure and lithology of each layer through drilling peeping, and drilling a representative rock sample; determining the crack initiation strength and peak strength of the rock sample through a uniaxial compression test; selecting a plurality of stress levels between the axial strain and the acoustic emission signal to carry out a creep test, synchronously monitoring the axial strain and the acoustic emission signal, and determining an accelerated creep starting moment as the damage time under the stress according to the abrupt change characteristics of the axial strain and the acoustic emission signal; establishing a stress-failure time relation model of each lithology; finally, selecting a corresponding model to predict the damage time of rocks at different layers of the roof according to the actual rock stratum structure and ground stress state of the roadway; according to the method, accurate and reliable time prediction of the progressive damage process of the roadway roof is realized.

The invention is suitable for the field of rock-soil mechanics engineering, and provides a rock-soil mechanics characterization method based on particle flow discrete element numerical simulation and a controller, the method comprises the following steps: obtaining and analyzing a compressive stress-strain curve of rock-soil under different confining pressures on a macroscale by using a rock-soil triaxial compression test indoors, and calculating the compressive stress-strain curve of the rock-soil under different confining pressures; the method comprises the following steps: determining a nonlinear dynamic mapping relation of rock-soil elasticity modulus along with the change of spherical stress, and establishing a three-dimensional particle flow discrete element numerical model on a microscopic scale based on the nonlinear dynamic mapping relation; and performing secondary development on the numerical model on the basis of a PB contact model to obtain a VSPB contact model which actively becomes rigid according to the stress environment, optimizing values of contact parameters on the basis of the VSPB contact model, and determining a final compressive stress-strain curve of the rock soil by utilizing a triaxial numerical test. According to the method, the problem that the technical path has obvious non-strictness and uncertainty when the parameters calibrated based on the uniaxial compression test are directly applied to triaxial compression numerical simulation can be solved.

The invention discloses an aggregate random distribution concrete PFC (Power Factor Correction) simulation method, which comprises the following steps: a model selection step: determining a parallel bonding model as a mechanical model for concrete material simulation; a cement mortar matrix generation step of generating a cement mortar matrix by using particles in a set size range in a set space range based on the model, and setting pore density, particle density and contact model parameters; a coarse aggregate random distribution simulation step: randomly covering and grouping original particles in the matrix in a grouping and range mode; a concrete numerical model construction step: determining particle classification so as to distinguish cement mortar and coarse aggregate; and a model reliability verification step: comparing indoor test results through a uniaxial compression test. According to the method, the simulation accuracy is improved, the randomness of aggregate is reduced, the model reliability is ensured, the matrix simulation refinement degree is improved, and a method is provided for concrete modeling and performance research.

The invention discloses a coal reservoir ground stress prediction method based on an ANFIS-PSO model, and the method comprises the steps: collecting a data sample through on-site logging information, and forming a logging data set; a coal reservoir rock mechanical parameter set is obtained through a uniaxial compression mechanical experiment, a triaxial compression mechanical experiment, a Brazilian splitting mechanical experiment, an on-site hydraulic fracturing experiment and the like; measuring the correlation between the logging data set and the coal reservoir rock mechanical parameter set, determining the input characteristics for predicting the horizontal ground stress, and constructing a total sample set; an ANFIS adaptive neural fuzzy inference system is constructed; and improving the ANFIS model by using a Fletcher-Reeves conjugate gradient method and a PSO (particle swarm optimization) algorithm, so as to obtain an optimized ANFIS-PSO model. After the trained model is obtained, the prediction precision of the model is tested by using the test set according to the evaluation index; and a support is provided for research work related to subsequent coal reservoir reformability evaluation.

The invention discloses an abandoned mine oil storage chamber surrounding rock property evaluation method, and relates to the technical field of mineral engineering. The method comprises the following steps: acquiring damaged rock samples with different oil-water soaking times, and analyzing silicon element content change, surface particle characteristics, crack development and hole depth change of the damaged rock samples so as to determine internal structure erosion degree and surface topography characteristics; drawing a uniaxial compression stress-strain curve, a time-varying curve of acoustic emission ringing count rate and accumulated ringing count, a damaged rock sample RA-AF graph and a typical moment vertical displacement field graph, and obtaining acoustic emission characteristics and a surface displacement field of the damaged rock sample; calculating different energy values and drawing an energy evolution trend curve; and comprehensively evaluating the rock properties of the damaged rock sample under different oil-water soaking times according to the internal structure erosion degree, the surface topography characteristics, the acoustic emission characteristics and the energy evolution law. According to the invention, the multi-angle macro-micro characteristics of the surrounding rock of the abandoned mine oil storage chamber can be analyzed, and the comprehensive evaluation of the surrounding rock property is realized.

The invention discloses a method for deducing a jointed rock-soil body material creep model based on a complete rock-soil material creep model, which comprises the following steps: carrying out a uniaxial compression creep test on a complete rock sample and a crack sample, establishing a relationship between a complete rock and a crack rock body, constructing an aging damage function D (t), obtaining an improved classical Burgers model constitutive equation, and calculating a joint rock-soil body material creep model according to the improved classical Burgers model constitutive equation. Calculating an expression of an initial damage variable D0 to obtain a simplified complete sample fitting parameter; deriving a creep model of the fractured rock mass from the creep model of the complete rock; and verifying the model. According to the method, by establishing the relation between the complete rock-soil material and the fractured rock-soil material, the creep model of the rock-soil material containing different fractures is deduced from the complete rock-soil material creep model and is used for describing the creep process of the rock-soil material containing different fractures, and the actual applicability and universality of the creep model are improved.

The invention discloses a brittleness evaluation method and device based on rock uniaxial compression damage evolution characteristics, and belongs to the technical field of rock mechanics. The method comprises the following steps: determining a rock damage evolution curve by using a deformation modulus attenuation method based on a stress-strain curve; determining a peak strain according to the peak stress of the stress-strain curve, and determining a pre-peak damage variable corresponding to the peak strain according to the rock damage evolution curve; fitting the rock damage evolution curve to obtain a theoretical damage evolution equation of the rock sample; solving a first-order derivative of the theoretical damage evolution equation, and determining a maximum damage evolution rate and a corresponding strain value according to a peak point of the first-order derivative; and calculating the brittleness evaluation index of the rock sample by using a formula. According to the method, the rock brittleness evaluation index is established by comprehensively considering the rock pre-peak damage variable, the rock post-peak damage evolution rate and the peak strain from the angle of damage evolution characteristics of the whole rock compression damage process, and the method has reasonability and reliability and can be applied to engineering practice.

An intelligent monitoring and early warning method for damage failure of a filling body beside a gob-side entry retaining roadway comprises the steps that a high-water-content material standard sample is prepared, uniaxial compression testing and acoustic emission monitoring are carried out, and mechanical property data and acoustic emission waveform signals are synchronously obtained; carrying out failure stage division based on the maximum stress value and a sliding linear fitting method, and carrying out automatic classification and labeling operation; solving variational mode decomposition key parameters through an intelligent optimization algorithm to obtain decomposed intrinsic mode components; constructing a sample data set through a data enhancement process; training to obtain a waveform-based destruction stage classification model; elastic wave signals are collected in real time, variational mode decomposition and noise reduction processing are carried out, intrinsic mode components highly related to the damage degree are obtained and serve as input data, and a classification result is output through a waveform-based damage stage classification model; and performing graded early warning. According to the method, the real-time dynamic monitoring of the damage failure of the roadside filling body can be realized, and the early warning of the damage failure of the high-water material roadside filling body can be realized.

The invention discloses a multipoint non-uniform measurement device for uniaxial compression radial displacement of salt rock at high temperature and an implementation method. The measurement device comprises an axial load loading system, a test cavity temperature control system, a radial displacement measurement system and a computer data processing system, the test cavity temperature control system is used for regulating and controlling the environment temperature of the salt rock sample placed in the test cavity temperature control system, so that the salt rock sample is located in a high-temperature environment with a preset temperature; the axial load loading system is in contact with the salt rock sample in the test cavity temperature control system and is used for applying a vertically downward axial load to the salt rock sample at a high temperature; and the radial displacement measurement system is connected with the salt rock sample and is used for measuring the real-time temperature and radial displacement of the surface of the salt rock sample placed in the test cavity temperature control system. And the computer data processing system is connected with the radial displacement measuring system. According to the invention, the radial displacement and temperature of the salt rock sample in the uniaxial compression process can be measured with high precision under the high-temperature condition.

The invention discloses a research method for determining phyllite fracture surface roughness and failure mode based on digital three-dimensional reconstruction, and relates to the technical field of rock mechanics and geological engineering, and the research method comprises the following steps: S1, collecting a specific phyllite raw stone processing sample; s2, testing physical properties of the phyllite; s3, measuring the uniaxial compressive strength of the phyllite test; s4, observing the uniaxial compression damage process of the rock through a high-speed camera; s5, establishing a uniaxial compression test numerical model of the rock through PF C, and analyzing rock fracture characteristics; s6, using a microcomputer to control a rock direct shear apparatus to apply a plurality of groups of different normal stresses to the grouped samples to carry out a direct shear test; according to the method, through experiments and analysis in multiple aspects, the characteristics of the phyllite can be accurately mastered, the behaviors of the phyllite under different stresses can be effectively predicted, the engineering safety is improved, the engineering scheme is optimized, the engineering cost is reduced, and meanwhile, a systematic, comprehensive and referential research example is provided for research in related fields.

The invention discloses a uniaxial compression performance test analysis method of HFGPC under quasi-static and seismic strain rates, relates to the technical field of concrete material performance testing, and is characterized in that test data is collected and analyzed while a test piece is manufactured to carry out an experiment. The uniaxial compression performance of the HFGPC under the quasi-static state and the seismic strain rate can be comprehensively and systematically researched, including the aspects of failure form, stress-strain curve, mechanical property parameters, deformation parameters and the like, and abundant data support is provided for deeply knowing the mechanical behavior of the HFGPC. The test results are analyzed in detail and deeply, including strain rate effect analysis and mechanism analysis, so that the performance change rules and internal reasons of the HFGPC under different strain rates can be disclosed, a scientific theoretical basis is provided for the application of the HFGPC in practical engineering, and the engineering design can be optimized and the safety and durability of the structure can be improved.

The invention discloses a coal body compression mechanical test acoustic emission signal processing method and system, and relates to coal rock mass analysis. The method comprises the steps that under the supercritical water coupling effect condition, an acoustic emission original data set of the whole coal body uniaxial compression damage process is collected; respectively carrying out time domain processing, frequency domain conversion and spatial positioning calculation on the original data set, and outputting a time domain characteristic parameter, a frequency domain characteristic parameter set and a spatial position parameter set; and performing data fusion on the time domain characteristic parameter set, the frequency domain characteristic parameter set and the spatial position parameter set, establishing a multi-dimensional characteristic data matrix through time synchronization, and analyzing acoustic emission signal laws of different damage stages of the coal body under the supercritical water coupling effect. Aiming at the low recognition precision of the coal body damage stage under the supercritical water coupling effect, the recognition precision is improved by performing time domain processing, frequency domain conversion, spatial positioning calculation and the like on an acoustic emission original data set.

The invention discloses a grouting reinforcement method for a soft and hard interbed rock mass slope under the dry-wet cycle condition. The grouting reinforcement method comprises the following steps that a soft and hard interbed rock mass numerical model is constructed, and parameter calibration is conducted on the model; uniaxial compression test numerical simulation is carried out on the soft and hard interbedded rock mass models under different working conditions; the stability of the soft and hard interbedded rock mass is evaluated, and rock mass damage risks and weak links in different areas are determined; and grouting reinforcement is carried out according to the obtained result. According to the method, multiple groups of variables are set, the influence of each factor on the overall strength of the rock mass is comprehensively researched, and the rock mass stability is comprehensively and accurately evaluated; the drilling direction and distance are adjusted according to the rock stratum dip angle, it is ensured that grout effectively permeates into key parts, and the reinforcing effect is improved; accurate regulation and control of grouting parameters are achieved, and it is ensured that grout fully fills cracks and does not disturb a rock mass structure; and grouting parameters are adjusted according to the deviation and the change rate, and the grouting reinforcement effect is ensured.

The invention provides a blasting simulation method and device for crystal intruding rock, and the method comprises the steps: building an initial rock crystal sample uniaxial compression model according to the mesoscopic physical parameters of target crystal intruding rock; generating a cohesive force unit for a contact interface between crystal grains in the uniaxial compression model to obtain a uniaxial compression model of the target rock crystal sample; performing a uniaxial compression simulation test on the uniaxial compression model of the target rock crystal sample to obtain test simulation data, correcting parameters through a back analysis method to obtain target material parameters of a target crystal, and constructing a rock crystal medium blasting construction FDEM model; and according to the rock crystal medium blasting construction FDEM model and the blasting parameters, blasting simulation is carried out on the target crystal intruding rock. Therefore, according to the scheme, by designing the finite-discrete coupling blasting simulation method, the cost can be reduced, the time consumption can be reduced, and the dynamic response rule and the damage mechanism of the rock mass in the blasting process can be quantitatively represented.

The invention provides a virtual reality system for a rock uniaxial compression experiment, and the system comprises an offline calculation module which is used for generating a numerical simulation sample set based on a random simulation scheme generation service and an elastic brittle damage constitutive model driven numerical simulation system; the online calculation module is used for constructing and training a numerical simulation process agent model based on the numerical simulation sample set and the U-Net network; and the mixed reality visualization and interaction module is used for applying the trained numerical simulation process agent model to a mixed reality scene to complete a mixed reality experiment. According to the virtual experiment system provided by the invention, different accurate experiment results can be obtained according to different parameters, meanwhile, real experiment operation experience is obtained, the experiment cost can be greatly saved, and the environmental protection property is improved; the experiment risk is reduced, and the safety is improved; the space-time limitation is broken, and the self-learning enthusiasm of students is stimulated.

The invention discloses a method for evaluating the damage degree of a rock mass sample. The method comprises the following steps: acquiring the rock mass sample and recording joint characteristics; performing multi-layer block area division on the rock mass sample, and performing a uniaxial compression test and an acoustic emission test to obtain a stress-strain curve and an accumulated ringing curve of the rock mass sample; according to the characteristic parameters of the ringing signal, calculating the spatial distance between the positions of the crack high-incidence areas of the two adjacent layers, and calculating the three-dimensional energy distribution vector of the rock mass sample; establishing a support vector regression SVR model, and forming a rock mass sample stress state prediction function; and predicting the stress state of the rock mass sample in the loaded state, and evaluating the damage degree of the rock mass sample. According to the method, the support vector regression SVR model is introduced, the prediction relation function between the rock mass related parameters and the stress-strain curve development stages is formed, the dynamic response of the related parameters of the rock mass sample in the development process of each stage is considered, the damage degree of the rock mass sample is comprehensively evaluated, and the evaluation result is accurate and reliable.

The invention discloses a method for calibrating finite-discrete element input parameters of a water-containing rock, which comprises the following steps of: respectively carrying out a uniaxial tensile test, a uniaxial compression test and a triaxial compression test on a dry rock sample and rock samples with different water contents; obtaining an evolution equation of the tensile strength along with the moisture content, an evolution equation of the elastic modulus and the uniaxial compressive strength along with the moisture content, and an evolution equation of the cohesive force and the internal friction angle along with the moisture content; carrying out a lateral constraint water absorption swelling test on the dry rock to obtain a vertical expansion evolution curve; on the basis of the obtained results, the fracture energy, the humidity expansion coefficient and the humidity diffusion coefficient in the finite-discrete element method are calibrated; on the basis of the calibration parameters, finite-discrete element uniaxial and triaxial compression numerical simulation of the rock samples with different water contents is carried out, and simulation results are obtained; and when the error between the test result and the simulation result is within a preset threshold value, obtaining a final parameter calibration result. The invention provides a simple, accurate and efficient parameter calibration means for water-rock interaction mechanism research.

The invention provides a rock uniaxial compression damage threshold determination method based on remarking range analysis, and the method comprises the steps: synchronously collecting rock acoustic emission signals in the process of carrying out a uniaxial compression test on rock, and obtaining a rock acoustic emission signal time sequence; analyzing the rock acoustic emission signal time sequence to obtain a Hurst index time sequence; the Hurst index time sequence is subjected to fitting, and a Hurst index change curve is obtained; the peak point of the Hurst index change curve is determined, and the rock loading stress corresponding to the peak point during the uniaxial compression test is the determined rock uniaxial compression damage threshold value. According to the method for determining the rock uniaxial compression damage threshold value based on the remarking range analysis, provided by the invention, through experimental verification, the determination precision of the rock damage threshold value can be improved, so that the requirements of high-precision application occasions are met.

The invention discloses a construction method of a water-containing rock damage statistical constitutive model considering compaction deformation, which comprises the following steps: carrying out a uniaxial compression test on a rock sample to obtain an axial stress-axial strain curve and a demarcation point in a compaction stage and a linear elasticity stage in the axial stress-axial strain curve; a sigmoid function is introduced, and the constitutive relation of the water-containing rock in the microfracture compaction stage is constructed; acquiring a damage variable after coupling of rainfall damage and stress damage caused by rock moisture infiltration; based on a damage statistical theory, constructing a constitutive relationship between a linear elasticity stage and a damage softening stage after a microfracture compaction stage of the water-containing rock; and constructing a damage statistical constitutive model of the water-containing rock considering compaction deformation. The constitutive curve corresponding to the constitutive model well reflects the compaction characteristic, the elastic characteristic, the damage softening characteristic and other deformation characteristics of the rock mass, and high prediction precision and practical application value are shown.

The invention relates to the technical field of slag filling materials, in particular to a method for analyzing the influence of the addition amount of fly ash on the early strength of a sulphoaluminate-based grouting material and the fly ash-sulphoaluminate cement grouting material. The method comprises the following steps: detecting particle size distribution parameters of fly ash and sulphoaluminate cement; grouting liquid with different proportions is prepared and cured to form a filling body; carrying out uniaxial compression resistance test, XRD phase test, TG thermal analysis, SEM test and MIP pore test on the prepared filling body; according to the method, the strength development, hydration product formation and microstructure evolution of the grouting material under different conditions are comprehensively analyzed, the change of the hydration strength can be effectively controlled by controlling the content of the fly ash, and the strength damage phenomenon caused by high-content fly ash is avoided; the mechanical property and the stability of the filling body are improved, and the safety and the durability of engineering are ensured.