174 results about "Three dimensional stress" patented technology

A well location and well trajectory determination method, comprising: on the basis of a stratum pressure test, and a flow phase constraint of each stratum, establishing a full-stratum-series three-dimensional rock mechanical parameter field model, so as to obtain full-stratum-series rock mechanical parameters; on the basis of a geological structure, and a stratum pressure field of each stratum, establishing a three-dimensional full-stratum-series stress field prediction model, so as to acquire full-stratum-series three-dimensional stress field parameters; on the basis of the full-stratum-series rock mechanical parameters, the full-stratum-series three-dimensional stress field parameters and a three-dimensional natural fracture model, establishing a natural fracture activity prediction model, so as to evaluate fracture activity; and determining a well location and a well trajectory on the basis of a three-dimensional original field geostress model, a three-dimensional fracturability prediction model, the fracture activity and a three-dimensional collapse pressure prediction model. By means of the method, the effects of drilling speed increases and modification and production increases can be achieved in complex oil and gas field blocks. Further provided are a drilling speed increase method, a modification and production increase method, a well location and well trajectory determination apparatus, an electronic device, and a computer-readable storage medium.

The invention provides an aviation fastener service life prediction method and system based on stress analysis, and the method comprises the steps: collecting a dynamic stress data set of a target fastener in a service environment, carrying out the three-dimensional stress field reconstruction of the dynamic stress data, and obtaining a three-dimensional stress field model; the method comprises the following steps: generating stress distribution characteristics including an axial stress gradient, a radial stress cumulant and a tangential stress fluctuation coefficient, and then calling a pre-trained life prediction model to carry out nonlinear degradation analysis on the stress distribution characteristics to obtain a residual life prediction value and a key failure area identifier of a target fastener. Further, on the basis of the incidence relation between the temperature fluctuation sequence and the material thermal expansion coefficient, service environment compensation correction is conducted on the residual life prediction value, and finally, a fastener maintenance strategy set containing a stress release path adjustment scheme and a surface strengthening treatment scheme is generated according to the key failure area identifier; and precise prediction and effective maintenance of the service life of the aviation fastener are realized.

The invention discloses a rock mass structural plane shear degradation constitutive model under true three-dimensional stress and a numeralization method, and the method comprises the following steps: carrying out a rock mass structural plane pre-peak and post-peak cyclic loading and unloading true triaxial shear test, and obtaining the strength, deformation and damage characteristics of the structural plane; based on a test result, establishing a three-dimensional structural surface shear strength criterion considering the lateral stress effect, and proposing a calculation method of shear modulus, cohesive force, friction angle and dilatancy angle in the shear fracture process of the structural surface; constructing a three-dimensional shear degradation constitutive model considering the lateral stress and shear parameter degradation effect and a continuous and discontinuous numeralization method of the three-dimensional shear degradation constitutive model; the three-dimensional shear degradation constitutive model is verified through numerical simulation of a true triaxial shear indoor test; and carrying out excavation response analysis on the complex stratum tunnel by adopting the three-dimensional shear degradation constitutive model. The invention provides a rock mass structural plane shear degradation constitutive model and a numerical method under true three-dimensional stress, and a theoretical basis is provided for rock mass structural plane underground engineering catastrophe prediction.

The invention relates to a stamping die service life dynamic evaluation system and method based on multi-mode sensing. According to the system, a feature extraction module obtains stress distribution data and crack position information and inputs the data into a trained three-dimensional stress field model to obtain dynamic feature parameters of a stress concentration area under high-frequency cyclic loads; the crack prediction module judges the dynamic characteristic parameters based on a preset threshold value, and once the dynamic characteristic parameters exceed the preset threshold value, analysis is carried out according to the mapping relation between the stress level and the crack rate and the microstructure evolution rule at the same time, and a crack propagation prediction value is generated. And the service life evaluation module inputs the crack propagation prediction value into the trained health state evaluation model, and finally the service life evaluation value of the stamping die is obtained. The service life evaluation value of the stamping die under the existing working condition and the operation condition is accurately estimated, the production efficiency is effectively improved, the production cost is reduced, the potential crack risk of the die is perceived in advance, and accurate and dynamic die service life evaluation is achieved.

The invention relates to the technical field of electronic manufacturing quality detection, and discloses a multilayer circuit board quality detection method and system, and the method comprises the steps: collecting the surface interference fringe data of a circuit board through a computer-generated holography technology, and reconstructing the three-dimensional position of an alignment mark; internal stress distribution is detected through a photoacoustic coupling system, and a three-dimensional stress tensor field is reconstructed; establishing a PCB deformation dynamic model by using a multi-layer time sequence deep learning network; establishing a stress deformation correlation model through a physical information graph neural network; realizing feed-forward compensation and process optimization according to a dynamic prediction result; according to the method, computer-generated holography, photoacoustic imaging and deep learning technologies are integrated, the registration precision and internal stress distribution of the multilayer circuit board can be detected in a lossless and high-precision mode, the dynamic change trend of the multilayer circuit board can be predicted, active compensation and process optimization are achieved, and the product quality and the manufacturing yield are effectively improved.

The invention relates to the technical field of nondestructive testing, and discloses a crack detection device and method for precise automobile parts. The method comprises the following steps: carrying out ultrasonic multi-dimensional pre-scanning and acoustic impedance abnormal region identification on a to-be-detected automobile part, carrying out influence range calculation and sensitive threshold classification based on abnormal region distribution data, and obtaining stress-acoustic response time sequence data through partition grabbing force distribution and stress loading; three-dimensional stress field reconstruction and stress concentration area identification are realized; performing dual-frequency stress modulation excitation and multi-physics field synchronous detection on the stress concentration area to obtain a multi-physics field response signal, performing multi-parameter fusion calculation and multi-scale wavelet decomposition of acoustic components on the multi-physics field response signal, and performing feature dimension splicing to obtain crack feature classification data; and calculating and generating a crack detection result based on feature similarity matching and extension prediction. The precision and reliability of crack detection of the automobile parts are remarkably improved, and the damage risk in the detection process is avoided.

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 provides a deep tunnel excavation physical simulation test three-dimensional stress field real-time prediction method, and relates to the technical field of tunnel engineering. Comprising two stages of model construction and training and model use. In the model construction and training stage, a physical constraint reference model is constructed, and training optimization is completed; and in the model use stage, real-time prediction of a stress field of a deep engineering physical simulation test is realized through the trained and optimized model. The method has breakthrough advantages in the aspects of physical law constraint, real-time monitoring data fusion, training loss stability, boundary stress condition accuracy and the like, and is a high-reliability three-dimensional stress field prediction method oriented to a deep complex environment.

The invention relates to the technical field of hydraulic test of nickel alloy pipes, and discloses a hydraulic test system for a thin-wall nickel alloy pipe. According to the system, in the axial loading state of the thin-wall nickel alloy pipe, a closed water pressure cavity is established through an annular sealing clamp, and then strain distribution data on the surface of the pipe body is collected through a distributed optical fiber sensor array. And constructing a three-dimensional stress field reconstruction model based on the acquired strain distribution data, calculating an equivalent plastic deformation threshold value of the pipe body under different water pressure gradients, adjusting a water pressure loading curve slope parameter according to the equivalent plastic deformation threshold value, and generating a dynamic water pressure loading instruction. And the high-frequency pressure pulse generator executes the instruction, synchronously triggers the X-ray diffractometer to collect lattice distortion data of the tube body, inputs the data into the material microscopic damage evolution model, and outputs a microscopic defect spatial distribution map. And finally, material constitutive parameters of the three-dimensional stress field reconstruction model are corrected based on the atlas, closed-loop feedback control is formed, and multi-dimensional data acquisition and accurate management and control of the thin-wall nickel alloy pipe hydrostatic test are achieved.

The invention discloses a static-disturbance viscoelastic plastic damage unified model construction method under true three-dimensional stress, which comprises the following steps: S1, carrying out a true triaxial static compression test to obtain a strength rule; s2, carrying out a true triaxial disturbance test, and researching a rock disturbance deformation evolution rule; s3, introducing a three-dimensional strength criterion, establishing a plastic yield function, and constructing an elastic-plastic constitutive equation; s4, considering a rock disturbance degradation effect, and constructing a viscoelastic constitutive equation; s5, integrating and constructing a static force-disturbance viscoelastic plastic damage unified model, and establishing a model numeralization method; s6, simulating a static test, verifying the elastic-plastic constitutive equation, and fitting to obtain ductility-brittleness conversion formula parameters; s7, simulating a disturbance test, and verifying the viscoplastic constitutive equation; and S8, sorting model parameters, further carrying out numerical simulation, and checking the prediction effect of the model. The method provides a theoretical basis for mechanical behavior prediction and stability analysis of high-stress deep engineering surrounding rock, and has important engineering application value.

The invention provides a coal mine roof dynamic monitoring and early warning method and system based on artificial intelligence, and relates to the field of coal mine safety, and the method comprises the steps: collecting a stress waveform and a displacement waveform of a coal mine roof, extracting stress loosening characteristics, and constructing a three-dimensional stress conduction strength field; identifying a stress sudden change transition point by using a recurrent neural network to form a stress conduction chain; analyzing a regional topology migration rule and extracting a stress field instability path; matching with historical data to determine a prediction window; and continuously verifying the instability path and generating a support reinforcement scheme. The coal mine roof instability risk can be predicted in advance, and the early warning accuracy and timeliness are improved.

The invention discloses a monitoring and repairing method and device for tunnel deformation and a medium, and relates to the technical field of tunnel treatment. The method comprises the steps that optical fiber sensors are arranged on the lining surface of a tunnel in a rhombic grid mode, temperature sensors are integrated for the optical fiber sensors, and digital passports are generated for the optical fiber sensors and the temperature sensors; acquiring strain field data of the lining surface through an optical fiber sensor, performing temperature compensation on the strain field data, and establishing a distribution model; stress distribution characteristics of tunnel damage and historical data of corresponding repair cases are obtained, a first repair instruction is generated, and the stress distribution characteristics of the tunnel damage comprise three-dimensional stress distribution and a failure evolution path; and performing tensor slicing processing on the distribution model, matching the distribution model with historical data, and generating a second repair instruction by adopting an optimization algorithm. According to the method, the full-section high-density monitoring of the three-dimensional stress field is realized, the integrity and traceability of the monitoring data are ensured, and the accuracy is improved.

The invention discloses a rock mass structural surface three-dimensional failure criterion considering a lateral stress effect and a construction method thereof. The construction process comprises the following steps: S1, carrying out a true triaxial shear test to determine peak strength of a rock mass structural surface under the combination of different normal stress sigma n and different lateral stress sigma p; s2, obtaining a shear peak strength change rule under the action of different normal stresses sigma n under true triaxial, and constructing a shear peak strength function F1 (sigma n) of the rock mass structural plane; s3, obtaining a shear peak strength change rule under the action of different lateral stresses sigma p under true triaxial, and constructing a shear peak strength function F2 (sigma p) of the rock mass structural plane; s4, constructing a shear peak intensity function F3 (sigma n, sigma p) in a three-dimensional stress state, and determining an envelope surface form of the shear peak intensity function; and S5, carrying out true triaxial shear tests on the rock mass structural surfaces with different lithology, verifying and perfecting a shear peak strength function F (sigma n, sigma p) in a three-dimensional stress state, and constructing a rock mass structural surface three-dimensional failure criterion considering the lateral stress effect.

The invention provides an intelligent prediction method and system for differential settlement of an expressway broadening roadbed, and relates to the technical field of expressway broadening. The method comprises the following steps: acquiring data at a joint of new and old pavements in real time, constructing a three-dimensional stress field model, identifying a weak area and generating a topological structure, mapping coordinates to filler particle size parameters by combining a pore water pressure gradient, dynamically distributing creep parameter weights, and generating a creep cloud picture. Extracting a strain rate characteristic value, establishing a traffic load-shear strength degradation incidence matrix, correcting a shear strength factor, constructing a settlement differential model, and predicting settlement distribution. And comparing the optimized parameters by using triple residual errors, when the similarity coefficient reaches the standard, outputting a settlement early-warning map, and dividing early-warning grades. According to the method, multi-source data are fused, the early warning coincidence degree is improved, and the settlement prediction precision and the prevention and control timeliness are improved.

The invention provides a data processing method and system based on intelligent construction, and relates to the technical field of intelligent construction.The method comprises the steps that viscosity, a temperature peak value, temperature and humidity and time delay distortion data in the solidification stage are collected in real time in the concrete pouring construction process, and a material stress relaxation model is constructed to calculate three-dimensional stress distribution; meanwhile, mapping sound wave time delay distortion data into a spatial topological graph, and extracting propagation anomaly features by using a space-time graph convolutional network; and generating a crack risk distribution diagram by fusing stress distribution and abnormal characteristics, and finally, accurately positioning a potential defect area according to risk gradient change. The early warning capability of concrete construction quality defects is improved.

The invention provides a machining cutter feeding speed control method and system.The method comprises the steps that a three-dimensional stress field, a temperature field and cutter micro-vibration characteristics of a cutter cutting area are collected through a preset sensor array, and real-time plastic deformation parameters of a workpiece material and machine tool spindle power fluctuation data are combined; forming a corresponding processing state sensing matrix; obtaining a machining constraint condition of the tool, and optimizing the initial particle swarm algorithm through the machining state sensing matrix and the constraint condition to generate a corresponding target particle swarm algorithm; a speed reference curve matched with the cutter is generated in real time through a target particle swarm algorithm, and cutting noise spectrum features are collected through a high-frequency sonic sensor; and performing conversion processing on the speed reference curve and the cutting noise spectrum characteristics to generate a feeding speed matched with the cutter in real time. The feeding speed can be accurately controlled, and the production efficiency is correspondingly improved.

The invention provides a novel multi-source information and damage coupled coal mine rock burst prediction method. The method comprises the following steps that rock mass fracture signals, a three-dimensional stress field and acoustic emission parameters are collected in real time through a micro-seismic monitoring array, an optical fiber stress sensor and a rock sound probe; an LSTM-attention fusion module is adopted to carry out spatio-temporal feature extraction on the collected multi-source data, an attention weight coefficient is generated, and a weighted fusion feature vector is output; calculating the rock mass damage degree based on a statistical damage mechanics Weibull distribution theory; based on the law of conservation of energy and the damage mechanics theory, a dynamic energy threshold function is constructed, the mining time effect and the rock mass damage state are incorporated into a quantitative evaluation system, and a dynamic energy accumulation rate threshold function is established by introducing a time accumulation effect and a damage coupling term; when the real-time energy accumulation rate is larger than or equal to the energy accumulation rate threshold value and the time derivative of the energy accumulation rate is larger than the sudden change threshold value, third-level early warning is triggered. According to the invention, advanced accurate early warning of the rock burst can be realized.

The invention discloses an optimal reservoir building horizon site selection method for a multi-layer water-bearing gas reservoir underground gas storage. The method comprises the following steps: performing reservoir feature evaluation on each layer in a target gas reservoir; analyzing a reservoir cover system by utilizing the relationship between the lithologic configuration relationship of two sides of the fault and the fault mud ratio, and evaluating the change of a three-dimensional stress field under the injection-production pressure disturbance; from the perspective of production dynamics, historical data of a target gas reservoir are researched for productivity analysis, the water invasion amount and the gas-water ratio are calculated layer by layer, fine description and quantitative characterization are performed on the water invasion dynamics, and the gas-water distribution and migration conditions are determined; and finally, carrying out comprehensive evaluation, and selecting an optimal library building horizon. From two aspects of reservoir geologic characteristics and production dynamics, quantitative analysis and evaluation are carried out on all layers and small layers of the target gas reservoir, then the optimal target layer position can be relatively accurately selected, the reservoir building operation effect is good, the oil ring damage degree is small, and bottom water invasion can be effectively blocked.

The invention discloses a high arch dam deformation state fractional order numerical analysis method and module, and relates to the technical field of hydraulic structure service state analysis and computational mechanics. The method comprises the following steps: establishing a high arch dam body and dam foundation fractional order rheological mechanical element model by constructing a fractional order characterization method of attenuation rheological, steady-state rheological and accelerated rheological in a three-dimensional stress state; calculating an internal stress increment, a viscoelastic strain increment, a viscoplastic strain increment and a deformation increment in a delta tn time period by adopting a front difference formula according to the stress, the viscoelastic strain, the viscoplastic strain and the deformation at the tn moment by virtue of an increment finite element method, so as to obtain the stress, the strain and the deformation at the tn + 1 moment; and repeatedly calculating to obtain the stress, strain and deformation of the high arch dam in the analysis time period. According to the method, the nonlinear rheological effect of the dam body and the dam foundation of the high arch dam is objectively described, scientific deformation property numerical value quantitative analysis is achieved, technical support is provided for safety monitoring and dangerous case early warning of the in-service high arch dam, and the method has wide application prospects and market prospects.

The invention provides an aircraft skin assembly deformation suppression method based on stress field regulation and control, and belongs to the technical field of aircraft assembling.The aircraft skin assembly deformation suppression method comprises the steps that skin parameters and riveting parameters are collected, and trigger conditions are set; establishing a three-dimensional stress displacement field model based on a thin plate theory for the skin meeting the triggering condition, and performing simulation calculation to obtain a non-riveting area displacement field distribution diagram and a stress gradient distribution diagram; a high-risk area judgment model is established, and a high-risk area prone to deformation is delimited through simulation calculation according to the stress gradient; determining an adhesive tape laying scheme and laying an adhesive tape in the high-risk area; and riveting operation is conducted on the skin, real-time pretension is monitored, a real-time pretension grading interval is divided, corresponding adjustment measures are taken according to the real-time pretension, riveting operation continues to be conducted, and skin assembling is completed. By the adoption of the method, the deformation amount of the non-riveting area of the skin can be controlled within an extremely small range, and the high-precision requirement of aircraft assembly is met.

The invention discloses a slip zone soil three-dimensional stress real-time monitoring device and monitoring method, and relates to the technical field of landslide geological disaster monitoring, the device comprises a slip surface three-dimensional stressmeter and a control terminal, the slip surface three-dimensional stressmeter comprises a mounting seat, a shell and a detection assembly, the mounting seat is arranged at the hole bottom of a slip body drill hole and is located on a bed rock, and the shell is arranged on the mounting seat; the shell is arranged on the mounting base, the detection assembly is arranged on the shell and comprises a plurality of soil pressure sensors and an inertia detection unit, the plurality of soil pressure sensors are located on the upper side of a bedrock surface, the plurality of soil pressure sensors are arranged in an included angle mode and monitor soil pressure in multiple directions, and the inertia detection unit monitors the Euler angle of the sliding surface three-dimensional stress meter; the control terminal is in communication connection with the sliding surface three-dimensional stress meter through a communication power supply cable; thus, the magnitude and direction of the three-dimensional stress of the slip band soil can be obtained, real-time detection of the stress state of the in-situ slip band soil is achieved, and the method has the multi-use-scene adaptation characteristic of field layout and model experiment application.

A submarine landslide-seabed-pipeline three-dimensional mechanical analysis experiment system comprises a high-speed landslide driving system, a high-pressure photoelastic observation system, a three-dimensional stress acquisition system and a central controller. The high-speed landslide driving system drives the photoelastic landslide body to achieve high-speed linear motion under the gradient condition through a crawler-type driving mechanism, and the gradient high-speed motion characteristic of a real submarine landslide is simulated. The high-pressure photoelastic observation system comprises a photoelastic seabed, a photoelastic pipeline assembly, a high-pressure sealed cabin and a top hydraulic loading mechanism, and pore pressure distribution and a three-dimensional stress field in the impact process are dynamically developed through the photoelastic effect by combining the refractive index difference of fluid in pores and a photoelastic material with pore pressure data. The three-dimensional stress acquisition system captures multi-angle photoelastic stripes in real time and solves a global three-dimensional stress tensor. The central controller cooperatively regulates and controls all the systems, and control over high-speed movement, the high-pressure environment and material variables is achieved. The system well meets the quantitative research requirements of the submarine landslide disaster-causing mechanism and the protection design.

The invention relates to the technical field of grouting tests, in particular to a three-dimensional high-pressure splitting grouting test method, which comprises the following steps: laying a rock mass sample in a large cubic test box, and applying a stable three-dimensional stress field to the sample in three directions by using a multi-hydraulic cylinder array; grout is injected in a stress maintaining state, grouting pressure, grouting flow and hydraulic cylinder data are synchronously collected to generate a pressure-flow-time relation curve, and meanwhile the grout diffusion process is directly observed through a visual window. According to the method, boundary interference is effectively reduced through a large-size sample and uniform loading, so that slurry is naturally diffused in a stress environment close to a real stratum. The dynamic stress compensation technology maintains boundary stability, and ensures that splitting expansion is not influenced by artificial constraint. A pressure-flow-time curve is combined with visual observation, and the diffusion rule of slurry in a three-dimensional stress field is clearly presented. According to the method, a test means closer to reality is provided for the underground engineering grouting process, and the reliability of grouting parameter design is remarkably improved.

The invention relates to the technical field of equipment state monitoring, in particular to an equipment state monitoring and maintenance system, and provides the following scheme: acquiring three-dimensional stress energy density distribution data of a roller bearing seat, predicting a roller surface microcrack expansion trend, and generating a dynamic residual life index; rolling force compensation is carried out by combining the ellipticity data of the section of the pipe; meanwhile, by synchronously collecting Barkhausen noise signals and cooling medium flow data, the cooling intensity is adjusted in real time; in order to ensure the roller health, a roller health weight is generated based on the dynamic residual life index, a rolling force compensation model is constructed, rolling force distribution is optimized through a particle swarm optimization algorithm, and the uniformity of the wall thickness of the pipe is ensured; the method effectively prevents roller damage and pipe wall thickness mutation, improves the production efficiency and the product quality, and prolongs the service life of equipment.

The invention relates to the technical field of slope reinforcement, and particularly discloses a slope reinforcement system and method for building municipal administration, slope rock mass strain time sequence data is collected through a distributed optical fiber sensing system, slope deformation monitoring data is obtained through a spaceborne interferometric synthetic aperture radar, and a three-dimensional deformation monitoring data set is constructed; an LSTM-rock constitutive model fusing a DFOS strain field and an InSAR deformation field is established, strain time sequence data and deformation data are input into the model for three-dimensional stress field inversion, and shear modulus degradation rate parameters, creep coefficient parameters and displacement increment prediction data are output; shear modulus degradation rate parameters, creep coefficient parameters and displacement increment prediction data are processed, regulation and control strategy codes of anchor rod tensioning force gradients and grouting pressure intervals are generated and uploaded to a control terminal, the precision and timeliness of slope stability analysis are remarkably improved, accurate intervention can be conducted in time according to potential risks of a slope, and the stability of the slope is improved. The probability of geological disasters such as landslide is reduced, and life and property safety of people is protected.

The invention relates to the technical field of engineering structure health monitoring and artificial intelligence, and discloses an offshore wind turbine tower drum base three-dimensional stress distribution prediction and visualization method, which comprises the following steps: generating batch working conditions by presetting a bending moment range and an interval, and calling a finite element software automation script to execute static analysis; node stress values are extracted and integrated into a structured training data set; customizing neural network training: constructing a full-connection network, and training a model by adopting a standardized preprocessing and early stop mechanism; generating an interactive cloud picture: generating a 3D stress cloud picture HTML (Hypertext Markup Language) file supporting rotation / zooming / data query based on a spatial interpolation algorithm and a Plotly tool, and automatically marking the coordinate and the numerical value of a maximum stress point; and end-to-end system deployment: packaging as a Flask Web application, and inputting a bending moment value by a user to generate an interactive cloud picture in real time. The stress analysis period is greatly shortened, the engineering application threshold is reduced, and rapid evaluation and remote cooperation of the offshore wind turbine tower drum base can be efficiently supported.

The novel digital mandibular advancement appliance parameter design method comprises the following steps: step 1, constructing a three-dimensional finite element model comprising upper and lower jawbones, dentition, periodontal ligament, temporal-mandibular joints and a mandibular advancement appliance based on the three-dimensional finite element model; adjusting the boundary of the three-dimensional finite element model through the mandible kinematics parameters to form a simulation boundary; 2, constructing a multi-parameter collaborative prediction model based on the obtained stress data under different combinations of the mandibular protraction amount and the vertical opening amount; based on the stress data, constructing a three-dimensional stress distribution cloud picture by adopting three-dimensional simulation interaction software; 3, inputting the simulation boundary into the multi-parameter collaborative prediction model, and outputting risk early warning information; and 4, determining design parameters of the mandibular advancement appliance based on the three-dimensional stress distribution cloud picture and the risk early warning information. According to the method, the parameters of the appliance are customized, and the designed forward movement amount and the opening amount of the appliance better conform to personal characteristics.

The invention relates to the technical field of data analysis, in particular to an artificial ore pillar replacement system and method based on mechanical property optimization, and the method specifically comprises the steps: obtaining an ore top three-dimensional stress distribution cloud picture and geological structure data of a target ore pillar area; carrying out bearing effect evolution analysis to obtain a bearing effect evaluation value; performing stability effect evolution analysis to obtain a stability effect evaluation value; obtaining a mechanical demand comparison value according to a mechanical demand comparison strategy; and carrying out optimal parameter analysis on the replacement pillar by utilizing the replacement pillar parameter decision strategy, and generating an artificial pillar replacement scheme in real time. The method solves the problems that in the prior art, the top plate control qualification rate is low after ore pillar replacement, and the comprehensive cost of ore pillars is high.

The invention relates to the field of mine engineering and geotechnical mechanics, in particular to a rectangular roadway surrounding rock plastic zone prediction system under three-dimensional far-field principal stress rotation. According to the method, the magnitude and direction of the far-field principal stress of the rectangular roadway are obtained through field actual measurement, six stress components of the far-field principal stress of the roadway in a space rectangular coordinate system are obtained through matrix transformation of three-dimensional stress rotation, and a stress component function and a principal stress function of any unit around the roadway are obtained through a complex variable function analytical solution. A proper strength criterion is selected to obtain a roadway surrounding rock plastic zone boundary implicit equation, and the calculation process is coded into an executable automatic system through modular programming. Spatial feature points are extracted through a geometric reconstruction algorithm, and a scientific calculation visualization tool is called to automatically generate a two-dimensional section roadway surrounding rock plastic zone distribution diagram.

The invention discloses a large-scale model experiment device and method for excavation and water-filling splitting of a high-internal-external-water high-pressure tunnel. The device comprises an intelligent control excavation supporting telescopic system, an intelligent control excavation load acting system, a barrel-shaped three-way counter-force system, a three-way stress loading system, an inner water pressure control and sealing system, an outer water pressure control system, a temperature control system, a multi-element monitoring information acquisition system and a lining tunnel physical model sample. The barrel-shaped three-way counter-force system takes a counter-force component as a main body, the three-way stress loading system takes a pressurizing component as a main body, and the internal and external water pressure and temperature control system takes a water tunnel seal as a main body to realize sealing and internal water pressure loading to be matched with a water-rich condition applied by a water pipe and a heating plate to adjust the temperature; according to the invention, tunnel multi-mode excavation simulation under three-dimensional stress THM multi-field coupling, water filling and draining lining tunnel operation simulation under high internal and external water pressure, whole-process physical simulation of surrounding rock hydraulic fracturing and monitoring of surrounding rock and lining stress, deformation, internal and external water pressure and seepage multi-element information are realized.