107 results about "Three dimensional stress" patented technology

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 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 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.

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 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 discloses a visual seepage test device and method for shear fracture of a rock structural surface under true triaxial. The visual seepage test device comprises a fixed base, a lower shear box, an upper shear box, a seepage water inlet pipe, a seepage water outlet pipe, a seepage water inlet shear head and a seepage water outlet shear head, the fixed base is connected with a normal loading block of a true triaxial testing machine through pin nails, the lower shear box is fixed on the fixed base, the upper shear box and the lower shear box are oppositely arranged, and the seepage water inlet shear head and the seepage water outlet shear head are respectively embedded into the lower shear box and the upper shear box to form a water injection cavity I and a water injection cavity II; after the lower shearing box and the upper shearing box are closed, a closed sample cavity for clamping a rock sample and a transparent block is formed, and meanwhile, the water injection cavity I and the water injection cavity II form a seepage cavity. According to the device and the method, the visual shear simulation of the rock mass structural surface under the multi-field coupling environment of true three-dimensional stress-high osmotic pressure-chemical corrosion and the like is realized.

The invention provides a true triaxial stratified rock disturbance damage anisotropy model and a numeralization method, and the method comprises the following steps: S1, carrying out a true triaxial static test, and researching a peak intensity rule; s2, carrying out a true triaxial multistage disturbance test, and analyzing a disturbance critical intensity rule and anisotropic disturbance damage evolution characteristics; s3, establishing an anisotropic disturbance damage evolution equation; s4, constructing a stratified rock maximum failure constitutive equation under the true three-dimensional stress; s5, constructing a viscoelastic constitutive equation in which the true three-dimensional stress disturbance effect is introduced; s6, compiling the constitutive model established in S5 into a numeralization subprogram; s7, obtaining the maximum failure function parameter of the stratified rock in the peak state; s8, acquiring a three-dimensional disturbance yield function parameter of the stratified rock in a disturbance critical state; and S9, verifying the prediction effect and applicability of the model on the stratified rock disturbance deformation evolution. According to the invention, theoretical characterization of true three-dimensional stress, dynamic disturbance and spatial stratified coupling effect of stratified rock mass deformation and failure is realized.

The invention relates to the technical field of coal seam stress prediction, in particular to a coal seam three-dimensional stress prediction and visualization method, system and device and a medium, and the method comprises the steps: setting an artificial seismic source and a detection point, exciting a seismic source signal, and collecting a seismic wave response signal and a stress value; carrying out wave field forward modeling simulation through a time fractional order viscoelastic wave equation to obtain a forward simulation wave field, and carrying out full waveform inversion to output three-dimensional wave velocity data; performing reverse time migration imaging on the seismic wave response signal to obtain a three-dimensional coal seam structure mask pattern; performing slicing processing on the three-dimensional wave velocity data and the three-dimensional coal seam structure mask pattern along the same spatial dimension, then combining the three-dimensional wave velocity data and the three-dimensional coal seam structure mask pattern into an input tensor, inputting the input tensor into a convolutional neural network, and outputting a two-dimensional stress prediction slice; and splicing the two-dimensional stress prediction slices to construct a three-dimensional stress body, generating three-dimensional stress point cloud data, and further generating a three-dimensional stress grid model and a structure-stress integrated visual three-dimensional cloud picture. According to the invention, high-precision three-dimensional stress prediction and real-time early warning of the coal seam can be realized.

The invention relates to the technical field of connectors, and provides a connector test damage detection method, a connector and an electric meter box, the detection method comprises the following steps: using an ultrasonic phased array probe to carry out full-matrix capture scanning on the connector subjected to a physical test so as to obtain internal ultrasonic original data; based on the internal ultrasonic original data, reconstructing a three-dimensional acoustic image by adopting a full focusing method, and calculating a first three-dimensional stress field according to the three-dimensional acoustic image; establishing a parameterized three-dimensional finite element model of the connector, and running explicit dynamics simulation on the parameterized three-dimensional finite element model to calculate a second three-dimensional stress field; performing voxel-to-voxel subtraction on the first three-dimensional stress field and the second three-dimensional stress field to generate a three-dimensional stress difference field; according to the local stress difference peak value in the three-dimensional stress difference field, whether damage exists in the connector or not is diagnosed, and the damage position is positioned. Therefore, the problem of testing stress damage in the connector is solved.

The invention discloses an anchor rod dynamic pull-out test device and method in a triaxial confining pressure environment, and relates to the technical field of simulation experiments, the anchor rod dynamic pull-out test device comprises a table I, a full-length bonding anchoring rock mass model and a table II, a reserved channel is formed in the top of the table II, a moving plate is arranged in the reserved channel, and the moving plate is connected with the table I; a first hydraulic cylinder is fixedly installed at the bottom of the moving plate, a confining pressure applying structure is arranged at the top of the moving plate, a model supporting structure is arranged at the bottom of the second table, and a linkage frame is arranged at the top of the first table. The situation that the prefabricated anchor rod is subjected to multiple different instantaneous impact forces is avoided; and after a certain dynamic loading force drawing experiment is finished, the computer firstly controls the hydraulic cylinder III to contract, and the positioning plate applies a certain static loading force to the drawing steel plate, so that the stress condition of the anchor rod in a real roadway can be accurately simulated, and the accuracy of an experiment result is ensured.

The invention belongs to the field of earth science and engineering geology, and particularly relates to a rock rough interface friction slip test device and test method.According to the rock rough interface friction slip test device and test method, multiple first test pieces are attached to the outer side wall of a test piece, multi-point detection can be conducted on the strain force of the test piece, and the defects of a traditional single or low-density sensing layout are overcome; and the completeness and accuracy of experimental data are improved. The upper shell and the lower shell apply confining pressure to the test piece, and the first force application part and the second force application part are matched to apply normal force and shear force, so that a three-dimensional stress field can be effectively simulated; the temperature changing mechanisms in the upper shell and the lower shell, the second test piece and the third test piece are used for detecting dynamic distribution and micro-fracture evolution of sliding friction heat generation, so that coupling monitoring of multiple physical fields such as sound, heat and strain is realized, and a multi-factor interlaced friction instability process under a real geological condition is effectively simulated; and powerful support is provided for deep exploration of geological disasters and engineering activity mechanisms.

The invention discloses a three-dimensional failure criterion construction method considering bedding and three-dimensional stress and intermediate principal stress effect degradation, and the method comprises the steps: S1, obtaining rock strength data through true triaxial static tests under different bedding dip angles, direction angles and intermediate principal stress; s2, constructing a transverse isotropic strength characteristic function based on the spatial relationship between the bedding structure and the loading direction; s3, introducing an intermediate principal stress degradation parameter, and establishing a rock failure criterion considering three-dimensional stress and intermediate principal stress effect degradation; s4, constructing a three-dimensional failure criterion considering bedding space and three-dimensional stress and intermediate principal stress effect degradation; s5, determining model parameters by fitting static test data, and drawing a strength evolution curve; and S6, based on the three-dimensional failure criterion parameters, drawing a stratified rock strength prediction curve. According to the method, quantitative characterization of true three-dimensional stress, middle principal stress degradation and bedding three-dimensional space effect coupling of the strength of the layered rock is achieved for the first time.

The invention belongs to the technical field of oil and gas field exploration and development, and discloses a fractured-vuggy reservoir ground stress prediction method and system based on discrete elements and finite elements. And taking the obtained boundary stress direction and size as boundary conditions, and combining with a pre-constructed fusion model to obtain the three-dimensional stress of the research area, thereby completing the fracture-vuggy reservoir crustal stress prediction process. The construction process of the fusion model comprises the steps that firstly, a discrete fracture network model and a geomechanical grid model are established, then the discrete fracture network model and the geomechanical grid model are fused, after fusion, three-dimensional heterogeneous parameters are given to the fusion model, and the construction process of the fusion model is completed. The method can accurately and efficiently simulate the three-dimensional distribution rule of the current stress field of the fracture-vug type reservoir, and is of great significance to oil-gas exploration and development.

The embodiment of the invention provides a complex special-shaped structure three-dimensional stress inversion method based on ultrasonic characteristic guided waves, and the method comprises the steps: obtaining first ultrasonic characteristic guided waves corresponding to a plurality of characteristic guided wave modes of a detected special-shaped structure in a detection process, the multiple characteristic guided wave modes comprise at least two of a longitudinal mode, a torsional mode and a bending mode; according to the first ultrasonic characteristic guided waves corresponding to the multiple characteristic guided wave modes, first group velocities corresponding to the multiple characteristic guided wave modes of the detected special-shaped structure are calculated, and a first group velocity matrix is obtained; and inputting the first group velocity matrix into a pre-trained physical information neural network model to obtain the current stress information of the detected special-shaped structure, through the scheme of the embodiment of the invention, the stress information of the special-shaped structure can be calculated through the pre-trained physical information neural network model, and the accuracy of the stress information of the detected special-shaped structure is improved. And high-efficiency and high-precision nondestructive stress measurement is achieved.

The invention discloses a cutting control method for a steel structure product, which comprises the following steps: collecting data of a steel structure, establishing a three-dimensional stress field according to the collected data of the steel structure, and generating a three-dimensional stress distribution diagram by the three-dimensional stress field; collecting the heat conductivity coefficient and the heat diffusivity of the steel, and establishing a heat conduction model according to the heat conductivity coefficient and the heat diffusivity; identifying a stress sensitive area according to the three-dimensional stress distribution diagram, and planning a cutting path according to the three-dimensional stress distribution diagram and the stress sensitive area; an active heat management system is designed, the active heat management system comprises a temperature sensor, a cooling liquid spraying device and a control system, and heat input and heat dissipation strategies can be more accurately designed by researching stress heat conduction characteristics, so that the phenomena of local overheating and heat stress concentration are reduced.

The invention discloses a coal mining three-dimensional simulation method based on a numerical manifold and a structured grid, and belongs to the field of coal mining three-dimensional simulation. The method comprises the steps that the initial position of a working face is determined, and a field database is collected; performing grid division on the calculation area, and fusing the field database to obtain a grid model fused with the field data; constructing and coupling a grid model of numerical manifold coverage and fusion field data; coupling of fracture mechanical behaviors and seepage is achieved; based on the CPU-GPU heterogeneous parallel structure, solving a three-dimensional stress field, a displacement field and a pore gas pressure field evolved along with time of the current calculation area; and advancing the coal mine working face in the next step until the whole advancing of the working face is completed, and obtaining the stress distribution change, the fluid migration change and the fracture extension change in the whole advancing process of the working face. The method solves the problems that the existing method is difficult to describe the stress accumulation of the initial microfracture with high precision and is difficult to maintain the topological update of contact / separation after fracture.

The invention relates to the technical field of coal mine safety, in particular to a coal rock stress inversion method and system based on multi-material level set topological optimization, and the method comprises the steps: setting an artificial seismic source and a plurality of detection points, exciting a seismic source signal, and collecting a seismic wave response signal; utilizing at least two level set functions to construct a material three-dimensional space distribution map and mapping wave velocity and quality factors; performing forward modeling by using a time fractional order viscoelastic wave equation, and then performing full-waveform inversion to obtain an optimized wave velocity field; constructing a wave velocity-quality factor-stress three-parameter coupling model, and constructing a three-dimensional stress field; identifying a high stress concentration area and an abnormal structure, and outputting a risk identification result; and integrating the three-dimensional space distribution map of the material, the coordinates of the artificial seismic source and the detection point, the optimized wave velocity field, the three-dimensional stress field and the risk identification result into a three-dimensional visual platform. According to the invention, high-precision wave velocity reconstruction, stress quantitative conversion and risk dynamic display in the coal rock mass can be realized.

The invention relates to a finite element calculation method and system based on the local contact condition of a ball tile and a mushroom head, and the method comprises the following steps: S1, calculating the bottom pivot loads Bx, By and Bz of a miter gate, and calculating a horizontal resultant force B0 and an included angle beta between the B0 and the Bz; s2, creating a three-dimensional model of the ball tile and endowing material attributes; s3, creating a 2beta auxiliary model and endowing material attributes; s4, creating an assembly of the ball tile and the 2beta auxiliary model; s5, applying loads B0 and Bz on the outer surface of the ball tile; s6, completely constraining and fixing the non-contact surface of the 2beta auxiliary model; and S7, calculating and solving, and displaying the Mises three-dimensional stress nephogram of the ball tile in an isolated manner. According to the method, the 2 beta local contact area and the sliding / separation-free mode contact mode are adopted, the real working state of the bottom pivot is closer to, the defect that the result is too large due to the fact that only two parameters of the minimum thickness and the Poisson ratio of the top of the ball tile are considered in empirical formula calculation is overcome, the defect that the result is too small due to the fact that the result is too ideal under the complete constraint condition is overcome, and the calculation efficiency is improved. The calculation precision is improved.

The invention discloses a rock structure and three-dimensional stress-strain field evolution visualization method based on digital twinning. The rock digital twinborn model is constructed by fusing an in-situ loading CT scanning experiment, three-dimensional digital image correlation method (3D-DIC) surface deformation field measurement, digital volume image correlation method (DVC) internal deformation field measurement, digital modeling and numerical simulation technologies and methods. And obtaining mesomechanics parameters of the numerical model in real time, synchronously performing mirror image simulation, generating a four-dimensional dynamic body image with space-time continuity, and realizing visualization of the whole evolution process of the rock internal structure and the three-dimensional stress-strain field.

The present application relates to the technical field of structural stress precision measurement, and particularly relates to a steel structure stress monitoring method based on distributed optical fiber sensing, comprising the following steps: step 1: constructing a sensing optical fiber array in a steel structure node area; step 2: injecting an optical pulse into the sensing optical fiber array, and synchronously collecting Brillouin frequency shift signals and Raman scattering signals of each point; step 3: separating temperature and mechanical strain based on a reference optical fiber signal: globally compensating for temperature for a first optical fiber group, and compensating for a temperature gradient along an optical fiber path for a second optical fiber group; step 4: decomposing the compensated mechanical strain into multi-directional strain components according to the spatial orientation of the optical fiber, and reconstructing a three-dimensional stress field through strain component fusion; and step 5: dynamically determining damage risk according to a local stress concentration coefficient in the stress field and a change rate thereof. Through the temperature compensation technology, the influence of environmental temperature change on strain data is eliminated, and the reliability of the monitoring result is improved.

The present disclosure relates to a method and device for predicting a three-dimensional stress-strain curve by using an ultrasonic wave. More specifically, the method comprises the steps of: emitting an ultrasonic signal to a local area of a specimen with an ultrasonic transceiver to measure an ultrasonic signal; inputting the measured ultrasonic signal to an artificial intelligence model that has been trained to calculate and output a first parameter on the basis of an input ultrasonic signal; inputting the first parameter to a Ramberg-Osgood model when the first parameter calculated on the basis of the measured ultrasonic signal is output from the artificial intelligence model; scanning the ultrasonic transceiver to repeatedly perform each of the above steps for the next local area of the specimen when a second parameter calculated on the basis of the first parameter is output from the Ramberg-Osgood model; and visualizing a three-dimensional stress-strain curve for the entire area of the specimen when all the second parameters for the entire area of the specimen are collected.