85 results about "Engineering geology" patented technology

The invention belongs to the field of geotechnical engineering and engineering geological information modeling, and relates to a stratum-parameter coupling randomness three-dimensional random field modeling and shield construction ground surface settlement rapid prediction method and device based on multi-source data fusion. According to the method, a three-dimensional joint random field acting on stratum types and rock-soil key physical property parameters at the same time can be constructed under the joint constraint of multi-source data such as drilling, geophysical prospecting, geotechnical tests and terrains, and a calibrated, explainable and updatable geological section automatic generation and uncertainty quantification channel is formed; on the premise that geological rationality is guaranteed, section geometry and parameter distribution under the conditions of complex structures and lateral phase change are restored robustly, the accuracy, consistency and interpretability of the three-dimensional geological section are remarkably improved, and a combined uncertainty result which can be directly used for rapid prediction and risk assessment of shield construction settlement is output. The technical problems that a geological section generated by an existing method is not accurate enough, uncertainty is difficult to quantify, and the extrapolation capacity of a complex scene is weak are solved.

The invention discloses an engineering geology grouting reinforcement device, and relates to the field of geology grouting reinforcement, the engineering geology grouting reinforcement device comprises a mounting rack, the mounting rack is fixedly connected with a first telescopic driving part, the output end of the first telescopic driving part is fixedly connected with a mounting plate, and the mounting plate is fixedly connected with a grouting pipe. The grouting pipe is used for pressurizing and grouting, so that the grout enters a reinforcing gap under the action of pressure; after filling is conducted for a period of time, the injection-compression pipe moves downwards, the sealing plate blocks the grouting opening under the action of the spring to prevent grout from flowing back, meanwhile, the injection-compression pipe moves downwards to extrude the grout, the extrusion force is further increased, and geological gaps are filled with the grout more sufficiently. Through the reciprocating operation, the geological reinforcement position can be fully grouted, the stability and strength of the geological structure are effectively enhanced, the quality and reliability of grouting reinforcement are greatly improved, and the reinforcement requirement under the complex geological condition is met.

The invention discloses a stratigraphic water content layering inversion method based on a shallow seismic full waveform, and relates to the technical field of geophysical exploration data processing, and the method comprises the following steps: 1, under the same survey line condition, synchronously obtaining a seismic wave full waveform, complex impedance and an induced polarization frequency spectrum; 2, constructing a layered initial model containing a layer boundary line and an in-layer water content initial value; based on the layered initial model, executing dual-domain quantile alignment interface keeping iteration until convergence, and obtaining a final layer boundary line and an in-layer water content field; the double-domain quantile alignment interface maintaining iteration comprises the following steps: updating an in-layer moisture content field and a layer boundary line according to a seismic wave full waveform; and performing total variation regularization processing on the updated in-layer water content field to maintain the transition characteristic of the layer boundary line. According to the method, an efficient and reliable solution with actual guidance value is provided for mineral resource exploration, geological structure detection, groundwater survey and engineering geology evaluation.

The invention belongs to the technical field of underground engineering and computer-aided engineering analysis, and particularly relates to an anti-seismic safety collaborative analysis method for multi-modal data of proximity tunnel engineering. By integrating engineering geology, structural design, construction monitoring and multi-level seismic oscillation data, a three-dimensional numerical model fusing geology and structural information is constructed. Firstly, refined simulation of the whole construction process and the operation static load is carried out, and a reference mechanical state is obtained; carrying out multi-task condition earthquake dynamic time history analysis on the basis, dynamically capturing dynamic response of surrounding rock and a structure, carrying out collaborative interpretation on static and dynamic analysis results, emphatically analyzing spatio-temporal evolution and connectivity risks of a tunnel anchor and an adjacent highway tunnel surrounding rock plastic zone, and extracting a plurality of quantitative collaborative indexes; and an interactive analysis report integrating a three-dimensional visual scene, a multi-dimensional comparison chart and a rule base-based safety interpretation conclusion is automatically generated, and systematic decision support is provided for seismic design, construction control and safety evaluation of proximity projects.

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 discloses a response test method and device for soil layer deformation and tunnel stress in foundation pit excavation, and relates to the technical field of underground engineering tests. The method comprises the following steps: acquiring engineering geology and tunnel structure parameters, and constructing a geological tunnel coupling similarity model embedded with a layered sensing array; step-by-step excavation is adopted to simulate foundation pit construction, and soil layer displacement strain, tunnel stress contact pressure and excavation disturbance parameters are synchronously collected through multiple channels; constructing a deformation stress coupling prediction model and an excavation disturbance quantification model; and constructing a dynamic coupling response model based on the two, and outputting a dynamic coupling curve of soil layer deformation and tunnel stress. The device comprises a model box body, a data processing host and a display terminal, a layered sensing array, a dynamic loading device, a servo excavation mechanism and a multi-channel data acquisition instrument are arranged in the box body, and the whole test process integrated operation can be realized. According to the method, the dynamic coupling rule can be accurately captured, and technical support is provided for safety assessment and parameter optimization of underground engineering construction.

The application discloses a geothermal well and recharging well fracturing construction process, and determines the well position and well depth of the geothermal well according to engineering geology and hydrogeology conditions; drilling is conducted at the well position of the geothermal well, the construction of the geothermal well is conducted, and well cementation and well washing of the geothermal well are conducted; an initial value of the radius of the heat extraction influence range of the geothermal well during heat extraction is obtained; whether the initial value is smaller than a first threshold value is judged, if yes, fracturing holes are processed on the well wall of the heat extraction section in the geothermal well, and the heat extraction section is subjected to staged fracturing to form fracturing gaps; the well position and well depth of the recharging well are determined; drilling is conducted at the well position of the recharging well, the construction of the recharging well is conducted, and well cementation and well washing of the recharging well are conducted; fracturing holes are processed on the well wall of the recharging section in the recharging well, and the recharging section is subjected to staged fracturing to form fracturing gaps. The geothermal well and recharging well fracturing construction process of the embodiment of the application can improve geothermal energy flow and reduce disturbance to the stratum.

The application provides a fault identification method and system based on multi-element spectral mineral anomaly analysis, relates to the fields of geology, spectroscopy, petrology and engineering geology, and a specific scheme comprises the following steps: in-situ testing of tunnel surrounding rock is carried out by using a visible light-near infrared, mid-infrared and laser Raman spectrometer, and mixed spectral variation characteristics are extracted; based on the mixed spectral variation characteristics, the mineral composition of the tunnel surrounding rock is identified according to the spectral identification standard of the abnormal mineral combination of the fault zone, quantitative inversion of the minerals is carried out, and the mineral content is obtained; according to the mineral anomaly mode of the fault zone, mineral anomaly analysis is carried out on the mineral composition, and the mineral anomaly type is obtained; based on the differential change of the mineral content and the mineral anomaly type, mineralogical anomaly characteristic analysis is carried out, and the fault identification result is output; the application replaces the experience knowledge of traditional geologists with quantitative information of multi-element spectral mineral anomaly, and further improves the accuracy and efficiency of fault identification in tunnels and underground engineering.

The application provides a rock mass slope dumping deformation risk assessment method, system and electronic equipment, and belongs to the technical field of engineering geology and geotechnical engineering, and comprises the following steps: obtaining basic parameters of a rock mass slope to be evaluated, i.e., valley depth H, valley width W, average dip angle alpha of an anti-dumping rock layer constituting a slope main body and a comprehensive parameter representing the overall quality of the rock mass; calculating three core factors, i.e., a geomorphology unloading driving factor Gf, a structure vulnerability factor Sv and a rock mass comprehensive resistance factor Rr; calculating an unloading-dumping coupling coefficient UTI of the rock mass slope: UTI=(Gf*Sv) / Rr; comparing the calculated UTI value with preset risk classification threshold values to determine the dumping deformation risk grade of the rock mass slope to be evaluated. The application establishes a scientific, efficient, objective and quantitative dumping deformation risk rapid assessment method, which can be widely applied to route comparison and selection, disaster census and risk screening in the early stage of engineering construction in the fields of water conservancy and hydropower, transportation and the like.

This invention discloses an intelligent analysis method and system for underground structures based on multi-source geological data fusion, relating to the fields of engineering geology and geotechnical engineering. The method includes: S1, collecting raw geological data and applying a hierarchical clustering algorithm to group scale-scale fractures and interlayer slippage to obtain a preliminary stiffness distribution map of scale-scale rock mass units; S2, based on the preliminary stiffness distribution map of the scale-scale rock mass units, using finite element analysis to simulate the stress transfer path between units and determine the deformation mode and failure path of the scale-scale geological blocks. This intelligent analysis method and system for underground structures based on multi-source geological data fusion can accurately identify stress concentration, uneven settlement, and potential sliding surface locations in key areas such as weak interlayers in dam foundations, reducing judgment bias caused by empirical simplification. It provides more objective, stable, and repeatable analysis results for stability evaluation and risk prediction of underground engineering, and has good engineering applicability and promotional value.

The present application relates to the field of engineering geology and geological disaster prevention technology, in particular to a system and method for evaluating the stability of dangerous rock with steeply inclined fissures in the rear edge, comprising: S1, obtaining high-precision point cloud data of the dangerous rock surface by using unmanned aerial vehicle oblique photography, aerial remote sensing or airborne LiDAR, and constructing a triangular mesh model of the dangerous rock surface; S2, constructing a three-dimensional entity model according to the boundary conditions and sliding surface of the dangerous rock; S3, extracting the volume, barycenter position, sliding surface area and spatial occurrence information of the sliding surface from the three-dimensional entity model, and calculating the self-weight of the dangerous rock by combining the rock mass bulk density and the additional weight of the water in the fissure; the present application constructs a fine three-dimensional scene model of the dangerous rock based on unmanned aerial vehicle oblique photography or LiDAR point cloud, which can accurately extract key geometric parameters such as the volume, barycenter, sliding surface area and inclination of the dangerous rock, avoids the morphological distortion problem caused by two-dimensional simplification, and makes the stability analysis more close to the actual engineering scene.

The invention relates to the technical field of engineering geology and rock mass mechanics, and discloses a rock mass fracture trace skeleton extraction and grouping quantification method and system. Comprising the steps of performing denoising and size standardization preprocessing on an excavation face image; using an improved DeepLab V3 + model to carry out semantic segmentation on the fracture trace to obtain a binary image; extracting a single-pixel width skeleton through a refinement algorithm based on the binary image; constructing a two-dimensional grouping strategy containing inclination angle similarity and spatial proximity to cluster skeleton traces; and calculating the length, the inclination angle and the density of the grouping result, and performing statistical analysis. The system comprises an image acquisition and preprocessing module, a crack segmentation module, a skeleton extraction module, a trace grouping module, a quantitative analysis module and the like. According to the scheme, automatic extraction, grouping and quantitative characterization of fracture traces are achieved, and the method is suitable for rock mass structure investigation and engineering analysis.

The application discloses a kind of simulation method of rainfall-induced slope rockfall in the technical field of slope prevention, determine potential slope body to be analyzed, according to engineering geology survey to establish the two-dimensional numerical model of slope body, rockfall and actual rigid protection structure, according to engineering geology survey to determine the material physics and mechanics parameters of slope body, rockfall and actual rigid protection structure, according to meteorological data to summarize the maximum rainfall that can act on slope body and the most dangerous rainfall cycle, then through two-dimensional numerical model based on continuum mechanics using strength reduction method to simulate the limit state of sliding under this maximum rainfall or in the most dangerous rainfall cycle with rockfall slope, and then calculate the safety factor of slope, while through the corresponding simulation slope body, rock layer and simulation rigid protection structure in simulation device are compared and verified.The application is scientific and reasonable, and the simulation accuracy is improved by simulating the potential impact force and impact range of landslide body and rock group interaction through two-dimensional numerical model.

The invention belongs to the technical field of petroleum and natural gas engineering, and particularly relates to a post-fracturing productivity simulation method considering a global fracture closed form under non-uniform laying of a proppant, and the method comprises the steps: S1, building a fracture closed numerical model according to the engineering geological parameters of a target block and the laying form parameters of the proppant in a fracture; s2, crack closing numerical simulation is carried out, the geometric dimensions of a self-supporting area, a supporting area and a dome area after crack closing are quantified, and global crack closing morphological parameters are determined; s3, carrying out a flow conductivity test experiment, determining the flow conductivity of the self-supporting area and the supporting area, and determining the flow conductivity of the dome area based on the cubic law; and S4, substituting the global fracture closed morphological parameters and the flow conductivity of each region of the fracture into the productivity prediction model, and carrying out post-fracturing productivity simulation. According to the method, the non-uniform distribution form of the propping agent in the crack is considered, and the corresponding capacity simulation method of the closed form of the global crack is provided and is more consistent with a propping agent sedimentation mode in actual fracturing.

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 relates to the technical field of rock mechanics and engineering geology numerical analysis, in particular to a dynamic relaxation quasi-static crack path tracking method and system.The method comprises the steps that geometric information, boundary and loading information, material parameters, initial defect information and observation data are obtained, a finite element model is constructed, and a damage field is initialized; applying a load to each external load increment, and solving a balance displacement field and a current damage field by adopting dynamic relaxation to obtain a crack propagation driving force field and an energy balance amount; a crack zone is obtained based on persistent coherence, a crack tip front edge is extracted, a candidate crack propagation increment set is generated, submission increments are determined through factor graph inference and dynamic relaxation prediction, and a damage field is updated; according to the energy balance amount and the convergence state back-off increment, numerical control parameters are updated, and material parameters are updated in combination with ensemble Kalman filter assimilation. According to the invention, stable tracking of the crack path is realized and prediction consistency is improved.

The invention relates to the technical field of survey, in particular to an engineering geological survey holographic surveying and mapping method and system, and the method comprises the steps: determining a missing region and an adjacent current focus region through the point cloud data of an engineering geological region; determining the filling contribution degree of the current focus area by using the adjacent edge length between the current focus area and the missing area; determining a filling range by using the length of the adjacent edge, and further filling the missing region to obtain an updated focus region; taking the updated focus area as the current focus area for iterative filling to obtain the change trend of the filling contribution degree; determining the filling integrity of the current focus area by using the change trend; and performing height separation on each current focus region of the filled region by utilizing the respective iteration filling times of the current focus region and the missing region to obtain holographic output. Through the technical scheme of the invention, the whole filled area is closer to the real geological condition, and a more complete and real display result is obtained during holographic display.

The invention discloses a mutual feedback evolution method and system for excavation face instability and adjacent building and structure deformation, and the method comprises the steps: constructing a multi-dimensional monitoring system covering an excavation operation area-adjacent building and structure-surrounding medium according to underground engineering geological conditions, building and structure distribution and surrounding environment, the frequency is dynamically adapted according to construction conditions and risk levels, and real-time transmission or encryption acquisition is performed in a core area; the method comprises the following steps: performing standardized preprocessing on monitored heterogenous data, extracting associated characteristic parameters of excavation face instability and building deformation, constructing a dynamically updated characteristic parameter database, and determining a time sequence change rule and statistical characteristics of each parameter; according to the method, multi-source parameters are combined, engineering mechanics and data driving composite modeling is adopted, geological, structural and environmental parameters are introduced as correction factors, a mutual feedback evolution model is constructed, the action characteristics of the two parameters are quantified, real-time parameters are input to deduce a bidirectional mechanism, and a co-evolution trend is pre-judged. And the construction safety and controllability are improved.

The invention provides a method for rapidly evaluating the stability of an engineering stockpiling yard, and belongs to the technical field of stockpiling yard stability evaluation.The method comprises the following steps that engineering geological information, hydrogeological information and stockpiling yard design data of the stockpiling yard are obtained, stockpiling process data are obtained, and a real-time detection device is buried in the stockpiling yard in the stockpiling process; the method comprises the following steps: carrying out deep drilling collection on a stockpiling field, carrying out parameter testing on collected materials, obtaining topographic and geomorphic data of the stockpiling field, obtaining related parameters of a rock-soil body of the stockpiling field, obtaining a natural state repose angle, inputting the data into software, simulating and analyzing safety coefficients of the stockpiling field under different working conditions, and obtaining prediction data of different working conditions. And constructing a three-dimensional space dynamic model of the stockpiling yard, inputting different working condition prediction data into the three-dimensional space dynamic model of the stockpiling yard, and predicting changes of the stockpiling yard under different working conditions. According to the method, the stability of the stockpiling yard can be rapidly and accurately evaluated, advanced prediction can be carried out, emergency processing can be carried out in advance, and accidents are avoided.

The application relates to the technical field of engineering geology exploration, and discloses a 3D scanning core characteristic parameter identification system and method, which comprises a core storage module and a 3D scanning module; the method comprises the following steps: separating complete and fragmented cores by self-adaptive cleaning and separation of drilling core samples, forming a space-attribute binding initial data set; dynamically adjusting the height and levelness of a 3D laser scanner by an automatic numerical control platform, generating an optimal scanning path topology network covering all core boxes; the scanning path topology network feeds back point cloud coverage in real time, dynamically adjusts the rotation angle, and outputs a full-angle high-density core point cloud sequence; the full-angle high-density core point cloud sequence is fused by multi-scale features, and an automatic columnar chart, a quantitative parameter set and a joint parameter package are generated. Through automatic and high-precision scanning and data analysis, the application realizes digitalized collection of cores and accurate calculation of geological parameters, and improves the efficiency and quality of geological exploration.

The application belongs to the field of new generation information technology and engineering geology technology, and particularly relates to a strong unloading rock mass high slope diagnosis method and system based on digital twinning, which collects multi-source characteristic data of the slope and carries out standardized pretreatment; a digital twinning model containing dynamic updating mechanical parameters is constructed; a closed loop calibration mechanism is adopted to dynamically adjust model parameters; a deep learning algorithm is adopted to optimize working condition parameters; a slope stability coefficient is calculated in combination with dynamic mechanical parameters and working condition parameters; a preset threshold value is used for grading determination, and a risk grade is corrected in combination with auxiliary indexes. A dynamic attenuation formula is embedded to simulate rock mass unloading deterioration, a double closed loop calibration is adopted to keep the virtual model consistent with the entity slope, a deep learning is adopted to improve working condition adaptability, and a quantitative evaluation formula is constructed to realize accurate expression of stability. The application realizes accurate, dynamic and quantitative diagnosis of the stability of the strong unloading rock mass high slope, and improves the scientificity and timeliness of engineering safety control.

The present application belongs to the technical field of underground engineering and computer-aided engineering analysis, and particularly relates to a kind of multi-modal data seismic safety collaborative analysis method for near tunnel engineering. By integrating engineering geology, structure design, construction monitoring and multi-level ground motion data, a three-dimensional numerical model is constructed that integrates geological and structural information. First, a fine simulation of the entire construction process and static load operation is performed to obtain the baseline mechanical state. Based on this, multi-task ground motion dynamic time history analysis is carried out to dynamically capture the dynamic response of the surrounding rock and structure. The static and dynamic analysis results are interpreted collaboratively, with a focus on analyzing the time and space evolution of the tunnel anchor and the plastic zone of the surrounding rock of the adjacent highway tunnel, as well as the risk of connection. Multiple quantitative collaborative indicators are extracted, and an interactive analysis report is automatically generated that integrates three-dimensional visualization scenes, multi-dimensional comparison charts, and safety interpretation conclusions based on a rule base. This provides systematic decision support for seismic design, construction control and safety evaluation of near engineering.

The invention provides a rock mass elastic modulus and Poisson's ratio co-measurement method and a probe monitoring device, and belongs to the technical field of engineering geology, and the method comprises the following steps: carrying out a probe press-in test on a rock sample to be tested; obtaining an approximate Poisson's ratio of the rock sample according to experience estimation; adopting an Oliver-Pharr method, and substituting the approximate Poisson's ratio to obtain an approximate elastic modulus of the rock sample to be tested; measuring a key identification point of a probe press-in area by using a laser range finder, and recording the experimental press-in depth of the key identification point; substituting the approximate elastic modulus and the approximate Poisson's ratio of the rock sample to be tested into the probe and the numerical model of the rock sample to be tested; and optimizing the approximate elastic modulus and the approximate Poisson's ratio of the rock sample to be tested by using a simulated annealing particle swarm algorithm, and outputting the optimized Poisson's ratio and the optimized elastic modulus. According to the device, the elastic modulus and the Poisson's ratio of the engineering rock mass can be jointly tested at extremely low cost, and the testing process is basically not limited by the size and the shape of the rock sample to be tested.

The invention relates to the technical field of sampling for engineering geological investigation, and discloses an engineering geological investigation sampling device with a detection function and a use method thereof.The engineering geological investigation sampling device comprises a ground drilling mounting base, a ground drilling mounting plate is fixedly mounted on one side of the ground drilling mounting base, and a rotating motor is mounted in the ground drilling mounting plate in a penetrating mode; and a rotating roller is fixedly mounted in the rotating end of the rotating motor, and a material guiding disc is mounted outside the rotating roller in a surrounding and penetrating mode. According to the device, the two earth drilling mounting plates are fixedly welded and mounted on one side of the earth drilling mounting base, then a rotating motor is fixedly mounted in the earth drilling mounting plates in a penetrating mode, then the rotating end of the rotating motor drives a rotating roller and a drill bit to drill the earth, and then soil drilled by the drill bit is rotationally discharged through a material guide disc; and the engineering geology in different environments can be surveyed, and the blocking condition is not likely to occur during engineering geology drilling survey, so that the diversity of engineering geology drilling survey is improved.

The invention belongs to the field of engineering geology and geotechnical engineering, and discloses a multi-point and multi-azimuth rock mass deformation test strain test method and device based on optical fiber sensors, and the device is characterized in that the optical fiber sensors are connected in series on an optical fiber cable at intervals; the optical fiber cables connected with the optical fiber sensors in series are uninterruptedly arranged on the leveled rock mass to be measured from the center of the rock mass to be measured to the outside circle by circle, and the rigid bearing plate is arranged at the upper ends of the optical fiber sensors and the optical fiber cables; the rigid bearing plate is a circular plate, the interior of the rigid bearing plate is a rock mass deformation test bearing range, the optical fiber sensors and the optical fiber cables inside and outside the rock mass deformation test bearing range are correspondingly arranged in a circular ring shape, and the optical fiber sensors and the optical fiber cables outside the rock mass deformation test bearing range are correspondingly arranged in a circular ring shape. And the optical fiber sensors of two adjacent circles are arranged in a staggered manner. According to the invention, through the net-shaped optical fiber sensor, an intuitive rock mass compression condition cloud picture and a rock mass strain cloud picture under pressure at all levels can be obtained.

The application discloses an engineering geology detection device, which comprises a geological detection vehicle, wherein the geological detection vehicle comprises a detection vehicle body, a detection handle is fixedly connected to the surface of the detection vehicle body, and an analysis detector is fixedly installed at the top of the detection handle. Through the converter, people can quickly lift the detection radar main body away from the ground, the converter can be stored through the arrangement mechanism, the converter is prevented from being disordered, the detection radar main body away from the ground can be fixed through the stopper, the detection radar main body is prevented from being damaged in the process of people transferring the engineering geology detection device, the service life of the engineering geology detection device is further prolonged, the detection radar main body is quickly controlled to enter a working position after the engineering geology detection device is moved to a detection site through the preparation structure, the detection speed is further increased, and the practicability of the engineering geology detection device is improved.

The application discloses a kind of calculation methods of slope pile foundation transverse bearing characteristics, including obtaining the engineering geology parameter of slope foundation, pile foundation parameter and pile soil friction parameter;Stratification is carried out to soil body;Strain wedge depth, strain wedge number and strain wedge strain are set;The geometric parameters and mechanical parameters of strain wedge are calculated;The horizontal displacement value of pile body is calculated;The first zero point depth of strain and horizontal displacement value of strain wedge is calculated;The depth value and strain value of soil body strain wedge before pile are obtained by judging and iterative calculation to strain and first zero point depth value of strain wedge;The calculation of pile foundation transverse bearing characteristics is completed by the depth value and strain value of soil body strain wedge before pile.The application is designed by innovative algorithm steps and calculation, not only realizes the iterative calculation of slope foundation strain wedge, realizes the fast and accurate calculation of strain wedge depth and strain, but also the application has high reliability, good accuracy and high efficiency.

The invention provides a three-dimensional underground heterogeneous body inversion method and device and a storage medium, and relates to the field of geological prospecting, and the method comprises the steps: building an observation region coordinate system, recording the coordinates of a load point and the coordinates of an observation point in the coordinate system, and obtaining the observation displacement amplitude of the observation point under the action of a surface simple harmonic concentrated load; determining a parameter search range according to the geological data; model parameters are set and updated through a multi-strategy dung beetle optimization algorithm; performing forward modeling simulation on the model through an indirect boundary element method only needing boundary discretization to obtain a surface displacement amplitude; constructing a fitness function, and calculating the fitness value of the observation displacement amplitude and the earth surface displacement amplitude; and judging whether the fitness value meets the fitness requirement of iteration termination or not. According to the method, the problems that high-dimensional parameter coupling is difficult to process, an inversion result is not unique and forward modeling calculation efficiency is low in a traditional method are solved, and an accurate and efficient solution is provided for engineering geology problems such as underground cavity positioning and karst collapse risk assessment.

This invention provides a Bayesian-CNN-based method for predicting seabed slope instability under the influence of seabed groundwater drainage, belonging to the field of marine engineering geology. Addressing the difficulty of existing models in quantifying the nonlinear dynamic evolution of slope instability under the coupled effects of seabed groundwater drainage (SGD) and multiple factors such as waves, this invention constructs a multi-parameter dataset including water depth, wave height, wave period, salinity, turbidity, SGD rate, and erosion depth through in-situ observations. A safety factor Fs is calibrated using a fluid-structure interaction mechanism as a supervisory label. The feature vectors are reconstructed into 3×3 matrices and input into a convolutional neural network. Bayesian optimization is introduced to automatically adjust hyperparameters, and 3×1 convolutional kernels are used to extract features. Probabilistic prediction is achieved through Dropout layers and Monte Carlo sampling to quantify uncertainty. A weighted mechanism for key time periods is introduced into the loss function to enhance the identification of critical instability states. This invention achieves high-precision prediction, providing reliable support for marine engineering geological environment assessment.