199 results about "Stability coefficient" patented technology

The invention relates to the technical field of mine safety monitoring, and discloses a roadway surrounding rock stability evaluation method, which comprises the following steps: step 1, collecting roadway surrounding rock geological data, step 2, constructing a three-dimensional geomechanical model, step 3, inverting mechanical parameters, step 4, calculating a stability coefficient, and step 5, outputting an evaluation result. According to the method, rock mass types, structural plane occurrence, crustal stress vectors and permeability parameters are integrally collected through geological radar scanning, drilling coring and crustal stress measuring devices, the problem of model distortion caused by single data in a traditional method is solved, deformation of a stress concentration area is accurately captured by adopting a non-uniform grid division strategy, inversion mechanical parameters are combined, and the method is suitable for large-scale popularization and application. The network is trained by using in-situ direct shear and triaxial test data, the inversion efficiency is improved compared with manual trial and error, the whole surrounding rock fracture process is simulated based on a finite element-discrete element coupling algorithm, plastic zone distribution and a comprehensive index S are output, and automatic judgment of the stability level is realized.

The invention provides a high earth and rockfill dam digital twinborn model construction method, and belongs to the technical field of high earth and rockfill dam health monitoring, and the method comprises the steps: constructing a measuring point monitoring model based on sensor monitoring data; constructing a mapping model, and constructing a mapping model dynamic monitoring loss function for adversarial training by adopting a domain adaptive method; inputting predicted values of deformation monitoring effect quantity and osmotic pressure monitoring quantity of the measuring point monitoring model on the seepage process and the deformation process of the high earth and rockfill dam into the mapping model to obtain a digital twinborn model, and constructing an extreme working condition digital twinborn model based on the digital twinborn model; knowledge graph reasoning is combined with a dam slope stability coefficient to realize interaction of an extreme working condition digital twinning model and a solid model, and the high earth and rockfill dam deformation-seepage digital twinning framework is proposed for the first time on the basis of deep learning and finite element methods so as to realize a more economical, efficient and reliable monitoring scheme. And technical support is provided for health monitoring of the high earth and rockfill dam structure in the future.

The invention discloses a building construction site safety monitoring management system and method, and relates to the technical field of building construction, the method adopts a calculation model of a multi-source vibration comprehensive influence index (MVTI), a foundation pit stress distribution value (GSF) and a foundation pit stability coefficient (GSC), and multidimensional data is extracted through an embedded database for real-time analysis. The influence of different vibration sources on the stability of the foundation pit can be comprehensively evaluated based on dynamic calculation of a multi-source vibration comprehensive influence index MVTI; meanwhile, the stress distribution of vibration to a foundation soil body is refined through the foundation pit stress distribution value GSF; the foundation pit stability coefficient GSC serves as a core index and is used for comprehensively analyzing the stability state of the foundation pit. When a foundation pit stability coefficient GSC value is lower than a safety threshold value, the system generates first early warning information, calculates a monitoring point risk value RIM in combination with a multi-source vibration comprehensive influence index MVTI, and locates an abnormal area through the monitoring point risk value RIM.

The invention relates to the technical field of geological disaster monitoring, and discloses a landslide dynamic simulation monitoring and early warning method based on multi-source sensing fusion, and the method comprises the steps: collecting multi-source data of a landslide body through a plurality of heterogeneous sensors, and enabling the multi-source data to be in space-time alignment after preprocessing; building a multi-parameter fusion model fusing a displacement field, a mechanical field and an environment field based on the preprocessed data, enabling the multi-parameter fusion model to output a deformation rate and a stability coefficient, and dynamically adjusting the weights of the displacement field, the mechanical field and the environment field according to a landslide evolution stage; predicting a future deformation trend of the landslide mass in combination with a geological structure and historical data, comparing a stability coefficient with a dynamic safety threshold to judge a risk level, and generating early warning information; and dynamically correcting a reference weight coefficient in the model based on the deviation between the monitoring data and the model output, so that the model is adaptively optimized. The problems of single monitoring dimension and static model solidification in the prior art are solved, and accurate and adaptive monitoring and early warning of the risk state of the landslide mass are realized.

The invention discloses an intelligent data acquisition and optimization control system applied to a mine filling system, and relates to the technical field of computer automatic control, the system comprises an ore body stress analysis unit, a filling slurry solid phase mass analysis unit, a filling body physical property analysis unit and a filling control and analysis unit; the ore body stress analysis unit is used for establishing a three-dimensional ore body geometric model according to an ore body geological exploration result, dividing the three-dimensional ore body geometric model into finite element grids and calculating the solid phase mass concentration of filling slurry; the filling body physical property analysis unit is used for establishing a rheological model of the filling slurry according to the solid phase mass concentration of the filling slurry; and the filling control and analysis unit is used for calculating the filling stability according to the three-dimensional stress tensor field of the ore body and the pore water pressure of the filling slurry to obtain a stability coefficient. The filling speed can be intelligently controlled, the construction stability is evaluated in real time, and the safety and high efficiency of the filling construction process are ensured.

The invention discloses a method for calculating a dynamic stability coefficient of a slope, and belongs to the technical field of slope prevention and control engineering, and the method comprises the following steps: S1, obtaining landform, rock-soil body structure and parameter data of a research area; s2, acquiring amplification coefficient distribution rule characteristics of the slope under the dynamic conditions of different frequencies; s3, dividing a potential slip surface and performing strip block division on a potential slip mass of the side slope; s4, determining the position of the slope, and designing a basic seismic oscillation peak acceleration and a characteristic period; s5, determining and calculating seismic oscillation peak acceleration correction values of the section division in the outstanding periods of different strips and blocks; s6, calculating the horizontal earthquake acting force and the vertical earthquake acting force of the section; and S7, calculating the slope stability coefficient to obtain the slope stability coefficient. According to the method, the influence of the predominant period of the site and the local dynamic response rule on the slope stability under the earthquake action is considered, and the accuracy of the calculation result can be effectively improved.

The invention discloses a narrow foundation pit upheaval resistance stability calculation method, which comprises the following steps: acquiring actual length, width and depth dimensions of a foundation pit and a consolidation undrained strength index, cohesion ccu and an internal friction angle phi cu of a field soil layer, and calculating a type critical width according to an improvement formula considering the internal friction angle of soil and a first width calculation coefficient, and whether the foundation pit is the narrow foundation pit or not is determined according to the comparison result of the actual foundation pit width and the type critical width. When the actual foundation pit is determined to be the narrow foundation pit, the width of a sinking soil body on the side face of the foundation pit is reversely solved through an improvement formula considering the internal friction angle of soil and the width of the actual foundation pit, and the upheaval-resistant stability coefficient of the narrow foundation pit based on the foundation bearing capacity mode is calculated and compared with the upheaval-resistant stability coefficient of the arc sliding mode. And taking the smaller value as the anti-upheaval stability coefficient of the narrow foundation pit so as to evaluate the anti-upheaval stability of the pit bottom of the foundation pit. Therefore, the problems that in the related technology, the judgment standard of the narrow foundation pit and selection of the slip plane are unreasonable, preconditions for checking calculation according to the narrow foundation pit design are unknown, and the friction angle in the stratum is not considered are solved.

The invention discloses a stiff skeleton arch bridge arching process optimization method and system considering multiple objectives, and belongs to the technical field of bridge construction.The method includes the steps that a stiff skeleton arch bridge main arch ring finite element model is established, design variables and optimization objectives are analyzed and determined, and a multi-objective optimization model is established; minimization of instantaneous stress and permanent stress of a main arch ring of the stiff skeleton arch bridge and minimization of vertical deformation of a vault are used as objective functions, the length of a working face is used as a design variable, and constraint conditions are set. After an initial pouring scheme is determined based on an actual construction scheme, an optimization scheme is solved by adopting an NSGA-II algorithm. And further constructing quantitative evaluation indexes including a comprehensive stability coefficient and a stability coefficient variance, constructing a comprehensive evaluation index based on the quantitative evaluation indexes, and finally determining an optimal pouring scheme. The arch forming quality and the structural safety of the arch bridge can be effectively improved, the construction scheme is optimized, the construction cost is reduced, and important engineering application value is achieved.

The invention discloses a method for analyzing the stability of a giant thick-layer accumulation body similar to a real sliding surface form, and relates to the technical field of accumulation layer slope engineering, and the method ensures the slope stability through multi-step real-time monitoring and data analysis. Dividing a construction area into a plurality of accumulation body sub-areas, collecting geological, meteorological and construction data, and establishing a related data set; the slope stability is evaluated in real time based on indexes such as the sliding stability coefficient and the sliding surface deformation rate of the accumulation body, and a qualification mark is generated or early warning is triggered through comparison with a preset standard threshold value; slope stability changes are monitored in real time, sliding surface strain variation and deformation rate are calculated, risks are further evaluated, and corresponding strategies are implemented; and in combination with the construction load index and the comprehensive risk coefficient, the influence of construction on the slope is evaluated, and construction safety is ensured. A sliding surface form stability prediction model is established through the convolutional neural network, and the accuracy and real-time performance of slope stability evaluation are improved.

The invention discloses a salt cavern ammonia reservoir stability evaluation system based on multi-parameter fusion and intelligent perception, and aims to solve the problem of stability evaluation of a salt cavern ammonia reservoir. According to the system, the geological condition is determined through a three-dimensional seismic exploration system and a drilling exploration technology, and sonar measurement and a sensor are used for monitoring data such as the cavity internal pressure and the volume shrinkage condition of the ammonia storage library in real time. Multi-source parameters such as the internal pressure, the cavity volume shrinkage rate and the safety pillar width are fused, micromechanical parameters and macrogeological conditions are incorporated into a stability coefficient, and the judgment accuracy is improved. The Internet of Things based on a deep learning algorithm is used for collecting data through a sensor network and transmitting the data to a large platform for analysis, so that real-time judgment and intelligent perception of stability can be realized, an operation risk can be predicted, and a response mechanism can be made in time. Meanwhile, the method provides mature thoughts and references for stability evaluation of similar underground reservoirs.

The invention provides a high-position rock landslide starting identification method and device under the earthquake action, and relates to the technical field of rock mechanics, and the method comprises the steps: S1, building a high and steep slope numerical model through an exploration data set; s2, applying a strong shock load to the bottom of the high and steep slope numerical model to obtain a velocity field and a stress field of the high and steep slope numerical model; s3, carrying out earthquake fracturing mechanism analysis on the velocity field and the stress field, and constructing a high-position rock mass fracture network; s4, dynamically retrieving a closed loop in the high-position rock mass fracture network, if not, returning to the step S3, and otherwise, entering the step S5; s5, carrying out high-position rock mass sliding stability analysis on the potential instability area defined by the closed loop under the action of strong shock, and calculating to obtain a dynamic stability coefficient; and if the dynamic stability coefficient is greater than a preset value, judging that the high-position rock mass landslide is started, otherwise, returning to the step S3. The method systematically understands the starting condition of the earthquake-induced high-position rock landslide from the perspective of mathematical mechanics, so that the prediction of the high-position rock landslide is more accurate.

The invention relates to a landslide disaster-causing effect analysis method considering three-dimensional stability and finite difference, which comprises the following steps: calculating underground water level change under event rainfall in real time through FSLAM, interacting with a stability analysis module, and realizing closed-loop feedback of rainfall infiltration-stability coefficient-motion simulation; and the stability coefficient serves as a strength reduction factor input by Massflow to dynamically adjust material parameters, and full-chain analysis from instability judgment to motion simulation is achieved. By using high-resolution DEM data, the search range of the sliding surface can be dynamically defined, and the sliding surface is a three-dimensional sliding surface, so that modeling of a non-circular surface is supported, and irregular geometrical shapes can be accurately captured. The method overcomes the limitation of simplification of landslide geometry and soil mass mechanical characteristics in traditional two-dimensional analysis, more accurately captures complex mechanical behaviors in the landslide instability process, and improves the reliability of stability calculation.

The invention relates to the technical field of slope instability data analysis, and discloses a toppling deformation body forming process and fracture development mode analysis method and system.The method comprises the steps that a toppling deformation physical model is constructed according to geographic data, and deformation characteristics of an anti-tilting rock slope under different working conditions are simulated; building a rock stratum fracture development prediction model based on the dumping deformation physical model, inputting a simulation result into the rock stratum fracture development prediction model, and predicting rock stratum dumping deformation bodies and fracture development under different climate conditions; analyzing the prediction result to obtain a fracture development mode; carrying out stability partitioning on the toppling deformation body based on a fracture development mode, and evaluating a stability coefficient; and evaluating the stability coefficient and the real-time monitoring data, and adjusting the rock stratum fracture development prediction model according to an evaluation result. The system comprises a rock stratum data collection module, a prediction simulation module and a prediction result analysis module. According to the invention, the precision of evaluating the stability of the counter-tilting rock slope is improved.

The invention provides an underground chamber stability assessment method based on deep learning and fusion uncertainty, and relates to the technical field of underground chamber stability assessment, and the method specifically comprises the steps: constructing an instability assessment model, and employing crustal stress parameters and rock mechanics parameters collected historically as a training set, the stability coefficient of the underground chamber is used as a label, and the stability of the underground chamber can be analyzed more accurately through training of a deep learning model; besides, a function relationship of the influence of the rock parameters on the stability of the underground chamber is constructed, and multiple groups of current second influence coefficients are obtained by inputting multiple groups of current rock parameters into the function, so that the comprehensiveness and the accuracy of evaluation are improved; and finally, through data processing and correction, uncertainty factors are comprehensively considered, and the stability and reliability of an evaluation result are improved. The method can overcome the technical defects that constants are difficult to determine, parameter processing is incomplete, and evaluation results are unstable in a traditional method.

The invention provides a multi-time-scale CPU load stability evaluation method used in the testing field, relates to the technical field of CPU load stability evaluation, and aims to more comprehensively capture dynamic characteristics of a system load, and the method comprises the following steps: obtaining a multi-scale load ratio based on a plurality of time scales; obtaining a load stability coefficient according to the multi-scale load ratio, wherein the load stability coefficient is used for describing the stability degree of the load; obtaining a weighted load index according to the multi-scale load ratio, wherein the weighted load index is used for endowing different weights for different time scales and obtaining an overall load level; and performing system state evaluation according to the load stability coefficient and the weighted load index. The CPU load stability evaluation method has the advantage that a more accurate and reliable CPU load stability evaluation result can be obtained.

The invention provides a three-dimensional visual full-field monitoring method and system for the whole process of bridge rotation, and relates to the technical field of bridge monitoring, and the method comprises the steps: obtaining design parameters and a construction plan of a bridge; generating a dynamic BIM bridge model according to the design parameters and the construction plan; setting a virtual sampling point at the virtual swivel key position of the dynamic BIM bridge model, and setting an actual sampling point at the swivel key position of the swivel bridge; acquiring actual coordinate information of the actual sampling point in a preset coordinate system, and determining virtual coordinate information of the virtual sampling point in the preset coordinate system; obtaining construction environment data of the construction site; determining a construction safety coefficient according to the construction environment data, the construction plan, the actual coordinate information and the virtual coordinate information; acquiring working data of the hydraulic system; determining a stability coefficient of the hydraulic system; and determining a full-field monitoring report. According to the invention, the real-time performance and comprehensiveness of bridge rotation whole-process monitoring can be improved.

The invention discloses a BIM-based bridge construction safety risk dynamic early warning method and system. The method comprises the steps of generating a time-varying structure topological graph sequence; forming a key risk component set based on the time-varying structure topological graph sequence and construction monitoring data collected in real time; constructing a local stress evolution model, and predicting a stress state and a stability coefficient of each component; calculating the risk coupling strength among the components based on the predicted stability coefficient of each component; simulating the failure linkage effect of each component, and calculating the dynamic instability probability of the bridge; and setting early warning threshold values of different grades, triggering bridge instability early warning of the corresponding grade according to the dynamic instability probability, and generating an optimization control strategy. The system comprises a time-varying topology generation module, a risk component identification module, a stress evolution prediction module, a coupling strength calculation module, an instability probability calculation module and an early warning strategy generation module. The problem of safety management of traditional bridge construction is solved, and reliable technical support is provided for bridge construction safety.

The invention relates to the technical field of side slope building, in particular to a side slope anchor rod retaining wall structure optimization analysis method, which comprises the following steps: a geological data acquisition step: acquiring geological data of a preset reinforcing area of a side slope according to a multi-source data acquisition strategy, and synchronously acquiring deformation monitoring data of each section of the side slope; a structural model construction step: constructing a three-dimensional coupling model of the side slope and the anchor rod retaining wall according to the geological data; a stability evaluation step of performing analysis according to the three-dimensional coupling model and the deformation monitoring data to determine an anti-sliding stability coefficient, an anti-overturning stability coefficient and a key risk area of each section of the slope, and constructing a three-dimensional safety evaluation space; and an optimization scheme generation step: generating an anchor rod retaining wall optimization parameter combination according to the key risk area and the three-dimensional safety assessment space, and screening out an optimal optimization scheme. The method has the advantages that the design optimization efficiency of the anchor rod retaining wall structure can be improved, and the overall slope retaining wall design construction period is shortened.

The invention relates to the technical field of steel structure assessment, and discloses a steel structure connection risk assessment system and method based on industrial data analysis, and the system comprises a multi-dimensional collection module and an intelligent analysis module. According to the steel structure connection risk assessment system and method based on industrial data analysis, management data of all components of a steel structure, inspection data of all joints and sensing data of all environmental factors are acquired through a multi-dimensional acquisition module and are classified to form a data set, and an intelligent analysis module analyzes the assemblability of each component and generates a performance index; the weight distribution proportion can be adjusted according to actual engineering requirements, multi-dimensional analysis is flexible and high in applicability, and an intelligent analysis module analyzes the erosion effect of environmental factors on the performance of the steel structure, generates attenuation coefficients, sets threshold values in a fixed range and evaluates whether the steel structure has potential risks or not; and targeted suggestions are provided, preventive maintenance is realized, and the intelligent evaluation precision is high.

The invention relates to the technical field of road engineering, in particular to a detection method for evaluating cohesion characteristics of river-crossing shield tunnel waste slag improved soil for roadbed filling, which comprises the following steps: preparing a solidified soil sample; calculating coupling parameters; obtaining a static cohesion force and a dynamic cohesion force; obtaining a water stability coefficient; based on the collected roadbed filling characteristic parameters, the static cohesion, the dynamic cohesion and the water stability coefficient, constructing a dynamic resilience modulus correlation model; grading the cohesion characteristics of the solidified shield soil according to the coupling parameters and the dynamic rebound modulus; detecting actual values of the coupling parameters and the dynamic resilience modulus of the to-be-evaluated solidified soil, and determining the grade of the to-be-evaluated solidified soil; according to the cohesion characteristic detection method, the characteristics of shield tunnel soil particles, mineral composition and roadbed filling scenes are fitted, actual working conditions are simulated, and the solidification effect is quantified, so that a scientific basis is provided for engineering application of shield tunnel soil solidification improved roadbed, and the problems in the background technology are effectively solved.

The invention provides a trestle stability analysis method based on a deep neural network. The method comprises the following steps: collecting settlement data of trestle steel pipe columns in real time; J, calculating a differential settlement index data set of the steel pipe columns at each moment and differential settlement change variance of all the steel pipe columns in unit collection time; collecting stress data samples of the steel pipe columns in real time, and calculating a stress characteristic index data set of all the steel pipe columns and an overall stress distribution characteristic index M of the steel pipe columns; and calculating a stability coefficient U of the construction temporary bridge steel pipe stand column by combining the indexes P and M, collecting bridge floor vertical vibration displacement time history data in real time to calculate a bridge floor vibration fluctuation index C, fitting the indexes U and C through a binary higher-degree polynomial, and establishing a parameter-containing model of the overall stability coefficient of the construction temporary bridge. Influences of factors such as stress of the steel pipe columns, differential settlement of the steel pipe columns and bridge floor vibration on stability are comprehensively considered, and the stability of the construction temporary bridge under the long-term use condition can be evaluated.

The invention relates to the technical field of rock-soil section analysis, in particular to a side slope section stability analysis system, which comprises a side slope segmentation module configured with a section segmentation strategy, constructing a virtual three-dimensional side slope model by performing geological contour scanning on a side slope, and analyzing the virtual three-dimensional side slope model to generate a plurality of characteristic sections; the multi-model analysis module is configured with an analysis model library, a plurality of slope space analysis models are stored in the analysis model library, and the multi-model analysis module is used for analyzing the structural surface of the feature section to determine a corresponding rock mass structure model; the working condition correction module is configured with a slope working condition parameter library and is used for establishing a parameter mapping relation with the corresponding characteristic section; and the stability coefficient calculation module is configured with a safety coefficient analysis model, and performs calculation and analysis according to the rock mass structure model and the slope working condition parameter library so as to determine slope stability coefficients of corresponding characteristic sections under different working conditions. The method has the effect that the accuracy and comprehensiveness of slope section stability analysis are improved.

The invention provides a forklift rollover prediction method and system and a forklift, and the method comprises the following steps: detecting the posture state of a forklift portal in real time, and obtaining the inclination angle of the portal when the portal inclines; the acting force of an inclined oil cylinder connected between the portal and the forklift body is obtained; actual tipping moment is obtained according to the acting force of the inclined oil cylinder and the inclination angle of the portal frame; obtaining the self-weight moment of the portal according to the inclination angle of the portal; a longitudinal stability coefficient is obtained according to the actual tipping moment, the self-weight moment of the portal and the built-in longitudinal stabilizing moment, and when the longitudinal stability coefficient exceeds a set threshold value, an early warning is given out.

The invention discloses a stiff skeleton arch bridge main arch ring construction scheme evaluation method based on a comprehensive stability coefficient, and relates to the technical field of bridge construction, and the method comprises the steps: obtaining a non-dominated solution set of a construction scheme based on a multi-objective optimization algorithm; respectively determining evaluation indexes from the aspects of structural stability, objective function stability, solution robustness, dynamic adaptability and life cycle cost, and constructing a comprehensive stability coefficient evaluation system; performing standardization processing on each evaluation index, and determining the comprehensive weight of each evaluation index by combining subjective weighting and objective weighting methods; performing weighted summation on the comprehensive weight and the standardized score of each evaluation index to obtain a comprehensive stability coefficient; and selecting the non-dominated solution with the highest comprehensive stability coefficient as a final construction scheme, and performing dynamic adjustment according to a construction feedback result. According to the method, a perfect evaluation index system can be established, the optimal construction scheme is selected, and the construction safety and the structural stability of the large-span stiff skeleton concrete arch bridge are improved.

The invention discloses a landslide monitoring and early warning method based on potential sliding surface middle water content monitoring assisted by rainfall and earth surface displacement mutual verification. The method specifically comprises the following steps: S1, obtaining a real earth surface point cloud; s2, acquiring structural information of a rock core and an underground rock stratum; s3, carrying out three-dimensional geological modeling; s4, establishing a relation model of the water content and the physical and mechanical parameters; s5, inverting the initial state of the slope; s6, installing a rain gauge, simulating a rainfall process, calculating a stability coefficient, and predicting a landslide range; s7, setting an early warning threshold value; s8, installing an earth surface displacement meter and an early warning broadcast; s9, linkage early warning broadcast automatic early warning is carried out; and S10, performing mutual verification by taking moisture content early warning as a main part and taking rainfall and surface displacement monitoring as an auxiliary part. According to the method, through high-precision three-dimensional geologic modeling, 'surface-based general 'of slope profile analysis is improved; the potential sliding surface is simulated and calculated according to the mechanical behavior characteristic numerical value of the rock-soil body, and the defects that the rock-soil body is regarded as a rigid body and the sliding surface is assumed in a strip division method are avoided.

The invention provides a tunnel surrounding rock reinforcement stability determination method and system, and relates to the technical field of surrounding rock stability determination methods, and the method comprises the steps: arranging a plurality of measurement points, and collecting the experimental data of each measurement point; constructing a stability coefficient of each measurement point through an entropy weight method; the inner side face of the surrounding rock is divided into uniform grids, and the stability coefficient of any grid point is calculated through inverse distance weighted interpolation; and calculating an overall stability coefficient of the surrounding rock through a volume weighting method, constructing a risk assessment model by adopting an extreme value statistical method, outputting a surrounding rock instability probability, and giving an alarm when the surrounding rock instability probability is greater than a set surrounding rock instability threshold probability. The weight coefficient is automatically calculated based on the information entropy, and the weight is dynamically updated along with the monitoring data and better fits the actual engineering state; the inner side face of the surrounding rock is divided into uniform grids, full-area coverage is achieved, the stability of grid points is calculated through distance attenuation weights on the basis of stability coefficients of adjacent monitoring points, and weak areas are accurately recognized.

The invention discloses a tunnel face three-dimensional stability coefficient analysis method and system. The system comprises a model construction module and a stability analysis module. The model building module is used for building a tunnel face prism-wedge body model of a tunnel according to mechanical parameters of tunnel surrounding rock, tunnel burial depth height and the length of an unsupported section in the construction process, and determining various model parameters of the tunnel face prism-wedge body model by analyzing the tunnel face prism-wedge body model. And the stability analysis module constructs a limit support force calculation model of the tunnel face based on a Mogi-Coulomb strength criterion, and analyzes a three-dimensional stability coefficient of the tunnel face through the constructed limit support force calculation model according to various model parameters of the prism-wedge body model of the tunnel face. The Mogi-Coulomb strength criterion fully considers the interaction among the middle principal stress, the surrounding rock and the supporting structure, the stability of the tunnel face is evaluated through the constructed limit supporting force calculation model, and the accuracy of stability evaluation of the tunnel face can be greatly improved.

The invention provides an anchoring slope landslide instability risk evaluation method under a rainfall condition, and belongs to the technical field of geotechnical engineering and geological disaster prevention and control, and the method comprises the steps: constructing a theoretical calculation formula of a multilayer rock-soil body anchoring slope stability coefficient under a rainfall infiltration effect based on a segmented slip plane method; based on a Monte Carlo probability analysis framework, introducing a reliability index, and establishing a slope reliability integrated evaluation model; acquiring soil body, rainfall, support and geometric parameter data of the side slope; defining various parameters as random variables, and performing large-scale sampling calculation based on the theoretical formula; counting probability distribution of the stability coefficient, and solving a reliability index and a failure probability; establishing a risk monitoring criterion, and judging whether each index exceeds a permissible value or not; and implementing risk dynamic early warning based on a judgment result. According to the method, an integrated evaluation technology system for the reliability of the anchored side slope under rainfall suitable for the multi-layer rock-soil body is constructed, and efficient quantification of the reliability of the side slope under the multi-parameter coupling effect is achieved.

The invention discloses a device and method for monitoring slope stability by using a Beidou positioning device, and the method comprises the steps: carrying out the high-resolution ground image collection of a slope through an unmanned plane, and carrying out the preprocessing of the collected data, and generating DSM data; arranging side slope monitoring points, acquiring side slope point location data by using a Beidou high-precision positioning device, and then processing the side slope point location data to form three-dimensional coordinates; according to the method, the three-dimensional coordinates and slope DSM data are utilized to determine the fluctuation condition of the slope terrain, then the size and shape of a grid are set, a slope surface is divided into a plurality of regular grid units, and the slope stability is analyzed in combination with the volume of each grid unit and the physical characteristics of a soil body. According to the method, the sliding force and the stability coefficient of the slope can be accurately evaluated by calculating the volume and the weight of each grid unit and combining the mechanical parameters of the soil body. The quantitative analysis provides a scientific basis for engineering decision making, so that slope stability evaluation is more objective and accurate.

The invention provides a tunnel face advanced core soil stability analysis method considering a spatial effect, which is based on a traditional prism-wedge model and aims at the problem of non-uniform distribution of surrounding rock stress in a tunnel excavation process, and virtual support force and a vertical deformation pressure reduction coefficient are introduced into the model. The method comprises the following steps: setting a hypothesis condition, and establishing a tunnel face stability analysis model based on a prism-wedge model; determining a tunnel face core soil stability coefficient by solving the tunnel face stability analysis model; and determining the stability degree of the current tunnel face core soil by using the stability coefficient of the tunnel face core soil, and determining advance support measures according to the stability degree. The method is simple in structure and convenient to calculate, the model prediction precision is effectively improved, a reliable theoretical basis is provided for tunnel support design and construction parameter optimization, and the method has a good engineering application prospect.