75 results about "Slope stability analysis" patented technology

The invention provides a method for analyzing the dynamic stability of a slope containing a mining cavern group under the action of dynamic and static loads, and belongs to the technical field of analysis of the dynamic stability of the slope containing the mining cavern group. In order to solve the technical problem that complex mechanical behaviors of a slope containing a mining cave group under the dynamic and static load coupling effect are difficult to accurately consider because most of existing slope stability analysis aims at single static load or dynamic load working conditions, the technical scheme adopted by the invention comprises the following steps: collecting end slope mining coal pillars and rock samples of rock stratums overlying the end slope mining coal pillars, and testing physical and mechanical parameters of the rock samples; the physical and mechanical parameters of all the rock stratums are finally selected in combination with related production materials of the mining area; calculating a shear strength parameter of the rock mass after the rock is damaged under the action of cyclic blasting vibration; calculating shear strength parameters of the end slope mining area-evolved weak layer under the action of blasting vibration; the stability of the slope containing the mining cavern group under the blasting vibration effect is calculated; the method is applied to the stability analysis of the power of the slope containing the mining cavern group.

The invention relates to the technical field of slope stability analysis, in particular to a joint slope parameterized modeling and analysis method, which comprises the following steps of: performing photogrammetry by an unmanned aerial vehicle to obtain a surface grid model; constructing a controllable high-precision curved surface on the model; generating a three-dimensional joint slope model and a support model; and constructing a numerical model, and carrying out slope stability analysis. According to the method, parameterization application of the process is realized based on a Rhino-Griddle platform and a Python language through the modeling process of three-dimensional real terrain, curved surface construction, block generation, grid model construction and support structure model construction; a complex three-dimensional joint slope model and a support model can be quickly generated based on existing information, a model file which can be exported to 3DEC software is generated, obvious advantages are achieved in multiple aspects, and a real, efficient and universal technical path is provided for three-dimensional joint slope modeling and support effect analysis.

The invention relates to the field of rock and road engineering, and discloses a slope stability analysis method based on data-physical model fusion. Comprising the following steps of S1, multi-source data acquisition and preprocessing, S2, physical model construction and initial simulation, S3, data-physical fusion modeling, S4, model training and optimization, and S5, stability analysis and early warning output. The method aims at deeply fusing a physical mechanism and monitoring data and making up the defects that a pure physical model is sensitive to parameters and a pure data driving model is poor in generalization and interpretability, so that slope stability evaluation and early warning which are higher in precision and generalization ability and have definite physical significance are achieved.

The invention discloses a coal mine slope stability analysis method based on numerical simulation. The coal mine slope stability analysis method comprises the following steps: acquiring strength and permeability data of a rock-soil body through a field investigation point location, processing by adopting a statistical analysis method, obtaining initial parameter statistical characteristics, simulating parameter random distribution of the rock-soil body in a three-dimensional space, and obtaining a heterogeneous parameter distribution field; a finite element analysis method is adopted to calculate stress-strain response of the slope under external load and hydrological conditions, a local stress concentration area is determined, and a slope stability index is obtained; acquiring a local deviation value of a corresponding parameter distribution field for an area where the slope stability index exceeds the range, adjusting the deviation value through an iterative algorithm, and determining an optimized parameter distribution field; and performing finite element analysis again based on the optimized parameter distribution field, judging distribution positions of potential instability points, and determining a final risk boundary according to the distribution positions of the potential instability points. According to the method, the scientificity and reliability of slope stability evaluation are improved.

The invention discloses a rock slope multi-mode instability probability analysis and risk evaluation method based on a drilling constraint condition random field, and belongs to the technical field of geotechnical engineering and engineering geology. According to the method, the conditional random field which is strictly consistent with the actually measured data is constructed under the condition of limited drilling exploration data, so that the reasonable expression of the spatial heterogeneity of the rock mass mechanical parameters is realized, and the authenticity of a numerical model and the reliability of an analysis result are greatly improved; the defect of insufficient result credibility caused by lack of actual measurement constraint of the unconditional random field is effectively overcome; through a large amount of multi-sample numerical simulation, multiple instability modes possibly occurring on the rock slope under different parameter space distribution conditions can be identified, the occurrence probability of each instability mode is quantitatively calculated, various risks possibly existing on the slope can be comprehensively grasped, only the most dangerous single condition is concerned, and the risk assessment accuracy is improved. And the accuracy and engineering applicability of slope stability analysis and risk evaluation are improved.

The invention relates to the technical field of terrain information processing, in particular to an intelligent decision-making system and method for excavation and filling parameters of a reservoir area of a pumped storage power station. The method comprises the following steps: acquiring topographic data of a reservoir area; determining elevation distribution characteristics according to the topographic data of the reservoir area; performing excavation and filling boundary analysis based on the elevation distribution characteristics to obtain excavation and filling boundary data; performing earth-rock volume calculation according to the excavation and filling boundary data to obtain earth-rock balance data; identifying the section excavation and filling unbalance degree based on the earth-rock balance data to obtain excavation and filling deviation data; performing slope stability analysis according to the excavation and filling deviation data to obtain slope stability data; performing leakage risk prediction according to the slope stability data to obtain leakage risk data; and identifying a seepage path according to the seepage risk data. According to the method, excavation and filling parameter optimization is realized based on a topographic information processing technology, and the reservoir area construction decision efficiency is improved.

The invention belongs to the technical field of geotechnical engineering disasters, and particularly relates to an intelligent rainfall simulation system and method for a slope stability experiment. The system comprises an intelligent rainfall simulation unit, a comprehensive monitoring unit, a real-time data fusion and adaptive control unit and a data analysis-visualization unit which are organically unified and matched with one another. According to the invention, intelligent control of the rainfall process can be realized, and the rainfall intensity, raindrop size and rainfall uniformity can be accurately adjusted; the system is high in integration level and high in automation degree, real-time multi-dimensional monitoring can be achieved, and high-precision and real-time analysis of experimental data and automatic risk early warning are achieved. Advanced monitoring means such as DIC full-field strain, optical fibers and acoustic emission are adopted, the experiment precision is remarkably improved, an accurate basis is provided for slope stability analysis and disaster prevention and control, and the method can be applied to the fields of engineering slope safety evaluation, education and public safety and has a good application prospect in the aspects of geological engineering, geotechnical engineering, colleges and scientific research and teaching, emergency drilling and science popularization and the like. And safety and disaster prevention awareness are improved.

The invention discloses a hybrid control method and device for a shear strength test of a rock mass structural plane, and relates to the technical field of physical property analys.The hybrid control method comprises the steps that the stress accumulation state before shear failure is simulated by controlling shear force to be increased or kept according to a preset function relation; judging whether a first condition for converting from the first mode to the second mode is met or not in real time, switching to the second mode when the first condition is met, controlling the position of the sample to remain unchanged, and simulating a stress release state during shear failure; judging whether a second condition for converting from the second mode to the third mode is met or not in real time; when a second condition is met, switching to a third mode, controlling the sample to slide at a constant rate, and simulating a stress retention state after shear failure; and when the accumulated slippage distance of the sample reaches a preset limit value, ending the test. According to the method, full-stage mechanical behaviors from the moment before damage to the moment after damage are reproduced, and accurate data support is provided for slope stability analysis and anti-sliding design.

The invention relates to the technical field of slope stability analysis, and particularly discloses a slope safety coefficient probability evaluation and control method fusing uncertainty modeling and multi-objective optimization, and the method comprises the steps: S01, obtaining disturbance input and parameter samples, and inputting the disturbance input and the parameter samples to obtain a probability distribution function; s02, inputting the probability distribution function as feedback information of strategy optimization into a reinforcement learning strategy optimization module, updating an environment state and continuously optimizing a control strategy; s03, a reinforcement learning strategy optimization module forms a closed loop structure of disturbance-evaluation-control-re-evaluation; s04, a probability inversion feedback module is started to conduct inversion analysis, a parameter sample interval inducing instability is output, and real-time early warning is provided in combination with a monitoring system, and the method aims at achieving deep coupling of dynamic prediction, risk quantification and strategy control of the slope safety state under the multi-source uncertain disturbance condition.

The invention relates to the technical field of slope ecological monitoring, in particular to an intelligent monitoring system and method for the ecological environment of a rock slope of a highway in a cold region. According to the method, the high-precision digital elevation model is efficiently generated through an unmanned aerial vehicle remote sensing and ground measurement fusion technology, and a reliable basis is provided for analysis; based on a freeze-thaw attenuation coefficient fitted in a laboratory, the cohesive force and the internal friction angle of the rock mass are dynamically corrected, and the accuracy of stability analysis of the slope in the cold region is improved; the geological safety coefficient, the vegetation index and the soil erosion index are fused and weighted, a unified ecological risk evaluation model is constructed, integrated and intelligent comprehensive monitoring and risk evaluation are carried out on the slope geological stability and the ecological environment condition, and decision-making assistance is provided for the cold region slope ecological environment.

The invention discloses a slope stability analysis and dynamic feedback method based on a heavy rainfall condition. Comprising the steps that a heterogeneous slope model is constructed in a computer system, units are divided, and lithologic partition parameters are determined; deducing the displacement direction of the infiltration line, determining the maximum range of the infiltration line, and generating a heterogeneous slope longitudinal section thermodynamic diagram of different rainfall durations; establishing a bidirectional coupling model of an unsaturated-saturated seepage field and a stress field, tracking infiltration line displacement and plastic strain zone expansion, and calculating the evolution of a safety coefficient along with rainfall duration; when the safety coefficient reaches a set threshold value, potential sliding surface displacement increment is monitored, residual speed is calculated, and a residual speed sequence changing along with rainfall duration under the same safety coefficient is formed and marked on the longitudinal section thermodynamic diagram; and identifying a sliding risk area in combination with the residual speed sequence, designing a drainage optimization scheme and dynamically adjusting parameters. The effectiveness of slope drainage prevention and control under the heavy rainfall condition is remarkably improved.

The application discloses a kind of based on real-time monitoring's side slope excavation dynamic support early warning method, belong to geotechnical engineering informatization monitoring technical field.For the technical problem that existing side slope monitoring early warning method cannot accurately reflect the real mechanical state of side slope, leading to low early warning accuracy, the application is arranged monitoring point in key area of side slope, is configured displacement sensor, stress sensor, pore water pressure gauge and moisture content sensor;Continuous acquisition sensor signal;After filtering denoising and abnormal value rejection to original monitoring data, calculate surface displacement rate, deep displacement increment, stress change rate, pore water pressure ratio and moisture content fluctuation amplitude;Input side slope stability analysis model, solve real-time safety factor;When safety factor is lower than first threshold value, yellow early warning is sent, lower than second threshold value, red early warning is sent and support feedback control is started.The application is used for the stability monitoring and early warning of side slope excavation construction period, improves early warning accuracy.

The invention discloses a composite reinforcing method and device for a soft soil levee slope based on prestressed corrugated pile emergency support, and the method comprises the steps: investigating a to-be-reinforced levee slope and engineering geological conditions in an influence range of the to-be-reinforced levee slope, and obtaining investigation data; calculating by setting a slope stability analysis strategy to obtain a natural state safety coefficient; the state of the to-be-reinforced levee slope is judged, and a state result is obtained; according to a state result, a cement-soil mixing pile temporary construction platform, a composite reinforcing area, a prestress wave-shaped pile and a three-dimensional drainage system are designed; and performing construction preparation and reinforcement construction according to the design scheme. The problems of temporary emergency and permanent splitting, construction disturbance instability, high cost, river channel occupation, difficulty in considering efficiency and ecology and the like in the prior art are solved.

The invention relates to the related technical field of land planning equipment, and discloses an unmanned aerial vehicle sampling device applied to land planning. Comprising an unmanned aerial vehicle body and a screw in threaded connection relative to the unmanned aerial vehicle body, the end, away from the unmanned aerial vehicle body, of the screw is connected with a sampler, the sampler is composed of a plurality of curved plates, the curved plates are distributed in a certain circumferential direction and define a cylindrical structure, and feeding sawteeth are formed at the end, away from the unmanned aerial vehicle body, of each curved plate; annular sawteeth are formed at one end of the barrel-shaped structure, and each curved plate is movably connected with the screw rod, so that each curved plate can generate operation far away from the screw rod under the action of external force, and all the curved plates are far away from one another. According to the sampling device disclosed by the invention, the original structure of soil can be kept in the sampling process, and application scenes such as foundation design, slope stability analysis and the like which have strict requirements on mechanical parameters of the soil in constructional engineering can be met.

The invention relates to a ground-based radar super-resolution imaging method based on sparse reconstruction and local super-sampling. The ground-based radar super-resolution imaging method comprises the steps of ground-based radar signal modeling and data preprocessing; constructing a measurement model and sparse representation; sparse reconstruction of coarse grids; peak detection and local window selection; local oversampling and fine inversion are carried out; sub-pixel fitting and coordinate refining are carried out; carrying out continuous nuclear least square refining; and imaging fusion and result output are carried out, so that smooth transition among a plurality of overlapped regions is realized. According to the invention, high-precision reconstruction and detail enhancement of ground-based radar observation data are realized, the imaging quality and the target positioning precision can be effectively improved, and the method is suitable for various application scenes such as surface deformation monitoring, slope stability analysis and engineering structure safety detection.

The invention provides a three-dimensional slope stability analysis method based on rapid determination of an initial value of a sliding direction angle, and the method comprises the steps: projecting a plane to a three-dimensional slope model to generate a grid, extracting a column set in the three-dimensional slope model, calculating the volume, gravity center position, bottom surface area and bottom surface center normal vector of each column, and calculating the initial value of the sliding direction angle; establishing a shearing force unit direction vector on each strip column; under the assumption of a Sweden slice method, a resultant force of normal contributions of all strip columns and an external load in a horizontal plane is calculated, and an initial value alpha o of a sliding direction angle is obtained through analysis; then, by taking a safety coefficient, a proportionality coefficient and a sliding direction angle alpha as variables to be solved, constructing four normalized residual equations of an x-axis torque balance residual, a y-axis torque balance residual, an overall force balance residual along the sliding direction and a horizontal resultant force residual perpendicular to the sliding direction, forming a limited nonlinear least square problem and carrying out iterative solution; in the solving process, the sliding direction angle alpha takes the obtained initial value alpha o of the sliding direction angle as a starting point.

The application discloses a kind of based on fissure expansion's rock slope excavation unloading failure path analysis method, belong to slope stability analysis technical field, including the following steps: S1, fissure equivalent simulation;S2, stress intensity factor calculation and expansion type judgment;S3, fissure cracking judgment;S4, fissure expansion calculation;S5, fissure expansion section generation.The fissure expansion's rock slope excavation unloading failure path analysis method in the application, by the originally complex fissure expansion environment is divided into multiple sub fissure dynamic expansion model, then single sub fissure expansion model is analyzed one by one, then the fissure expansion situation of single sub fissure expansion model is combined with other sub fissure expansion model and is analyzed, such as step by step calculation, obtain the fissure expansion situation of rock slope under overall complex environment, overall calculation logic is clear, avoid complex redundant calculation, improve fissure expansion situation analysis efficiency.

The invention discloses a rock mass mechanical parameter determination method and system for a rock slope blasting excavation damage area, particularly relates to the technical field of rock mass engineering stability evaluation, and is used for solving the problem of misalignment of parameter characterization caused by neglecting a damage area rock bridge and fracture zone composite structure in the prior art. The method comprises the following steps: arranging a point load test in a damage area and identifying non-unimodal distribution data; combining fracture catalog data, fusing penetrability fracture density segmentation capability and a dominant inclination angle direction failure effect to generate a collaborative isolation parameter, and dividing a residual rock bridge and fracture fracture zone spatial distribution mode according to the collaborative isolation parameter; accurately classifying the intensity data into two types of subsets based on space mapping; and finally, macro-mechanical parameters are generated through weighted fusion of the area proportion and the double-source strength statistical value, the rock mass strength prediction precision of the blasting damage area is remarkably improved, and a reliable basis is provided for slope stability analysis and support design.

This invention relates to the field of slope stability analysis technology, and in particular to a method, device, and storage medium for measuring the stability of unsaturated soil slopes. The unsaturated soil slope stability measurement method of this invention is based on the soil-water characteristic curve of unsaturated soil and uses the finite element method to solve the Richards equation to obtain the transient seepage field distribution of the unsaturated soil slope. This method is more consistent with reality than the seepage field assumed by empirical formulas in the past. While the SMP criterion proposed by Songgang-Zhongjing considers the influence of intermediate principal stress, the SMP criterion is only suitable for cohesive soil failure criteria. Therefore, this invention modifies the SMP criterion by considering the influence of cohesion, friction angle, and matrix suction, making it applicable to unsaturated cohesive soil slopes. Based on the calculation of the slope's self-weight stress, and using a modified SMP material model, we conduct stability analysis of unsaturated soil slopes using the strength reduction method, considering the influence of the intermediate principal stress of the soil, resulting in more reasonable results.

The invention relates to the technical field of water and soil simulation analysis, and discloses a slope infiltration and stability analysis method, a medium and equipment. According to the method, seepage characteristics and a fractal theory are introduced, a GA model is improved, a new slope rainfall infiltration model is provided, the model is combined with groundwater distribution to establish a slope initial moisture content distribution model, a runoff-seepage coupling effect is introduced, and the influence of slope surface accumulated water on the infiltration rate is dynamically analyzed; the Mohr-Coulomb intensity criterion is optimized based on the saturated zone seepage effect and the fractal theory, the improved infiltration model is applied to limited slope stability analysis, and the limitation that a traditional model is only suitable for an infinite long slope is broken through; by comprehensively considering factors such as soil particle size characteristics, slope surface runoff, gradient, rainfall intensity and underground water level, the safety coefficient of each point position in the slope can be accurately calculated, and the accuracy of infiltration process description and the reliability of slope stability analysis under the heavy rainfall working condition are remarkably improved.

The invention relates to the technical field of geotechnical engineering and geological disaster prevention and control, and discloses a loess slope stability calculation method considering a stress state, and the method comprises the steps: building a slope three-dimensional model according to the landform, geologic structure and rock-soil body physical and mechanical parameters of a slope; applying a load in the side slope three-dimensional model and setting boundary conditions to obtain a stressed side slope three-dimensional model; carrying out stress field solving on the three-dimensional model of the stressed side slope to obtain a global stress field of the side slope; for each collected soil sample, extracting a corresponding stress tensor from the stressed slope three-dimensional model, and determining a confining pressure condition corresponding to an indoor shear strength test; according to the confining pressure condition, an indoor shear strength test is carried out, and a soil shear strength index under the actual stress field condition is obtained; a soil sample representative horizon method is adopted, the stratigraphic position corresponding to each soil sample is analyzed, the slope stability is calculated, and the slope safety coefficient and the potential sliding surface position are obtained. Therefore, the accuracy of slope stability analysis is improved.

The invention relates to the technical field of image data processing, particularly discloses a rock mass structure information intelligent extraction method based on deep learning, and aims to solve the problems that a traditional rock mass structure surface recognition method is low in automation degree, sensitive to point cloud density change and difficult to accurately express plane direction information. A high-quality rock image is obtained through combination of multi-view unmanned aerial vehicle near-earth photogrammetry and high-dynamic range fusion and polarization calculation; reconstructing a three-dimensional point cloud by using a motion recovery structure and a plane perception improved multi-view stereoscopic vision algorithm; constructing a neighborhood by adopting farthest point sampling and ball query, and extracting hierarchical embedding features layer by layer through a point cloud deep learning network; and a plane perception hierarchical density space clustering algorithm is provided, and structural plane clustering is carried out by fusing the embedding representation similarity and the normal vector consistency. According to the method, full-automatic, high-precision and robust recognition of the rock mass structural surface and accurate extraction of occurrence parameters can be realized, and reliable technical support is provided for slope stability analysis and geological disaster early warning.

The present application relates to the field of data processing, especially to a highway karst area roadbed slope stability simulation method based on digital twinning. Including: obtaining and preprocessing multi-dimensional data to obtain preprocessed data, performing fusion processing on the preprocessed data to obtain fused data; based on the fused data, a three-dimensional virtual model of the roadbed slope is constructed for dynamic updating and simulation; based on the three-dimensional virtual model, a structural intelligent evolution graph field coupling simulation algorithm is introduced to analyze the stability of the highway karst area roadbed slope, and the stability analysis result of the highway karst area roadbed slope is obtained. The technical problems of poor accuracy and poor self-adaptability of highway karst area roadbed slope stability analysis are solved.

The invention discloses a slope reinforcement full life cycle management system and method based on digital twinning, and the system comprises six cooperation modules, and achieves the real-time interaction and deep fusion of geological parameters, stress field distribution, sliding surface features and other parameters through a data bus. On the basis of anti-sliding stability evolution prediction, three-dimensional stress field multi-scale interpolation and critical sliding surface multi-objective optimization search core technologies, a support effect quantitative evaluation platform and a full-life-cycle dynamic management mechanism are combined, and a closed-loop system from parameter acquisition, analysis and prediction to evaluation and regulation is constructed. According to the method, through multi-module cooperative linkage, the slope state is accurately represented, the critical sliding surface is positioned, the supporting effect is quantified, and dynamic regulation and control are conducted according to the evolution law of all stages of the whole life cycle. According to the system and the method, the precision of slope stability analysis, sliding surface positioning and support evaluation is improved, intelligent and dynamic management and control of the whole process are realized, and the geological disaster risk is effectively reduced.

The application relates to the technical field of water and soil simulation analysis, and discloses a slope infiltration and stability analysis method, medium and equipment. The method improves a GA model by introducing seepage characteristics and fractal theory, a new slope rainfall infiltration model is proposed, the model establishes a slope body initial water content distribution model in combination with underground water distribution, and the runoff-seepage coupling effect is taken into account to dynamically analyze the influence of slope surface water on the infiltration rate; the Mohr-Coulomb strength criterion is optimized based on the saturated zone seepage action and fractal theory, the improved infiltration model is applied to finite slope stability analysis, and the limitation that the traditional model is only applicable to infinite long slopes is broken; by comprehensively considering factors such as soil particle size characteristics, slope surface runoff, slope, rainfall intensity and underground water level, the safety factors of each point in the slope body can be accurately calculated, and the accuracy of the description of the infiltration process under the condition of heavy rainfall and the reliability of the slope stability analysis are significantly improved.

The invention discloses a slope potential slip plane identification method based on airborne LiDAR point cloud multi-scale fusion, and relates to the technical field of geological disaster monitoring, and the method comprises the steps: collecting original point cloud data, carrying out the preprocessing of the original point cloud data, obtaining a pure earth surface point cloud, constructing a multi-scale digital elevation model sequence, and carrying out the recognition of a slope potential slip plane from the multi-scale digital elevation model sequence. Extracting topographic features to obtain a multi-scale topographic feature map; performing unsaturated seepage simulation on the geometric boundary of the micro-scale digital elevation model in the multi-scale digital elevation model sequence in combination with rainfall working conditions set based on historical rainfall records to obtain a pore water pressure distribution cloud picture, and fusing a multi-scale topographic feature map to obtain a geometric slip sensitivity index; and coupling the pore water pressure distribution cloud picture and the geometric slip sensitivity index to generate a critical slip plane index picture. By visually outputting a slope stability analysis report, high-precision and quantifiable risk assessment of the potential slip plane of the slope is realized.

The application discloses a soft and hard interbedding type anti-inclined rock slope stability rapid analysis method based on a superimposed cantilever beam model and belongs to the technical field of rock slope stability analysis. The method comprises the following steps: soft and hard interbedding type anti-inclined rock slope calculation parameters are drafted; two adjacent soft and hard rock layers are regarded as a unit, and the characteristic height of the soft and hard interbedding type anti-inclined rock slope rock layer is determined; in combination with the characteristic height, a soft and hard rock layer superimposed cantilever beam model is established, stress analysis is respectively conducted on the soft and hard rock layers, the safety factor of the soft and hard rock layers is calculated; the stability of the soft and hard rock layers is compared, the rock layer damage sequence is considered, the influence of rock layer damage on the internal force and stability of the soft and hard rock layers is analyzed; the safety factor of the soft and hard interbedding type anti-inclined rock slope is obtained, and the overall stability of the slope is evaluated. The method can quickly evaluate the slope stability by establishing the soft and hard rock layer superimposed cantilever beam model, and the calculation method is simple.

The invention provides a method for evaluating the stability of a heterogeneous soil-rock aggregate slope under a rainfall condition, and belongs to the field of civil engineering, and the method comprises the steps: S1, obtaining the basic information of a to-be-evaluated heterogeneous soil-rock aggregate slope; s2, determining an equivalent permeability coefficient of the soil-rock mixture according to the rock content and the material parameters of the soil matrix, and determining a safety coefficient standard value of stability evaluation; s3, determining a computational domain of discrete element simulation according to the geometric parameters of the slope, and obtaining an initial equilibrium state through initial equilibrium calculation; s4, setting rainfall scene parameters, and performing dynamic response simulation on the discrete element model; s5, discrete element dynamics calculation is carried out in the dynamic response simulation process, safety coefficients are calculated at multiple moments in the rainfall process, and the stability level of the slope in the rainfall scene is determined. According to the method, refined simulation and evaluation of the rainfall induced slope instability process are realized, and the accuracy of soil-rock aggregate slope stability analysis is improved.

The application discloses a rock slope multi-mode instability probability analysis and risk evaluation method based on a borehole constraint condition random field, and belongs to the technical field of geotechnical engineering and engineering geology.The application realizes reasonable expression of spatial heterogeneity of rock mass mechanical parameters by constructing a conditional random field which is strictly consistent with measured data under limited borehole survey data conditions, greatly improves the authenticity of a numerical model and the reliability of analysis results, and effectively overcomes the defects of insufficient result reliability caused by lack of measured constraints in unconditional random fields; the application can identify various instability modes of a rock slope under different parameter space distribution conditions through a large number of multi-sample numerical simulation, quantitatively calculates the occurrence probability of various instability modes, can comprehensively grasp various risks possibly existing in the rock slope, and improves the accuracy and engineering applicability of the rock slope stability analysis and risk evaluation, instead of only focusing on a single most dangerous case.

The invention discloses a slope stability analysis method based on a nonlinear strength criterion, and the method comprises the steps: obtaining a state parameter of a slope, building the nonlinear strength criterion and a nonlinear strength envelope according to the state parameter, and generating a potential sliding surface from a slope toe starting point; dividing the potential sliding body into a plurality of rigid body units, and calculating external work power and internal energy dissipation power of the rigid body units; confirming a critical sliding surface and a safety coefficient under a power balance condition, and taking the critical sliding surface and the safety coefficient as an initial critical state; gradually evolving and propelling to a target height by taking a critical height corresponding to the initial critical state as a starting point, constraining a search domain of a current height based on a critical state of a previous height, and performing consistency reduction under nonlinear intensity envelope constraint; and when the height evolution advances to the target height and the strength reduction iteration converges, outputting a stability evaluation index of the target slope. The method has the effect of improving the accuracy and efficiency of the slope stability analysis process.