537 results about "Stress field" patented technology

A method for quality inspection of an etching paste material based on a spectral response difference, including: identifying a position of density mutation boundary through spectral collection and density gradient analysis. Applying a specific frequency beam to obtain the resonance response parameter, generating stress field reconstruction data. Performing a reverse optical tracking to obtain a defect formation path, generating degradation prediction data. Establishing a self-organizing optical monitoring grid, to form a hierarchical spectral fingerprint library. Constructing a multi-point linked defect blocking network, to form an interconnected optical energy field. Monitoring a cooperative response to obtain network stability data, Identifying abnormal position coordinates based on a material quality grade and the network stability data, obtaining the abnormal position coordinates. Performing a phase adjustment to obtain a phase difference spectral set, conducting a phase comparison marking on the abnormal position coordinates, completing the quality inspection of the etching paste material.

The invention provides a multi-physics field cooperative regulation and control method in coal mine rock burst prevention and control, and relates to the technical field of coal mine rock burst prevention and control, and the method comprises the steps: synchronously collecting stress field, fracture field and vibration wave field data in real time through a distributed optical fiber sensor network and a micro-seismic monitoring system, and constructing a dynamically updated three-dimensional geomechanical model; based on an adaptive Kalman filtering algorithm, noise reduction multi-source data are fused, a dynamic stress concentration factor and an energy accumulation critical index are extracted, and a rock burst risk probability model is established; a multi-objective optimization algorithm is adopted to generate graded regulation and control instructions of grouting reinforcement, mining speed adjustment and pressure relief drilling, and the graded regulation and control instructions are executed in real time; and iteratively optimizing the model weight by using a transfer learning algorithm in combination with a historical case library to form a closed-loop feedback adaptive prevention and control system. According to the method, the analysis precision of rock mass fracture evolution under complex geological conditions is improved through multi-physics field collaborative perception and dynamic modeling, and risk quantification and real-time regulation and control are realized through multi-algorithm coupling analysis.

The invention discloses a 3D printing path planning method based on electric arc additive anisotropy and a stress field, and the method comprises the steps: constructing a CAD three-dimensional model of a part, and obtaining the stress field of the part through finite element simulation; determining a slice plane; mapping the stress field to a slice plane to form a force flow line; according to the obtained force flow line, rotation transformation regeneration is carried out according to the anisotropy of the used electric arc additive, and a reference trajectory considering the anisotropy of the material is obtained; under the principle of alternate arc starting and extinguishing, the corresponding printing sequence in the layers and between the layers is further planned, and the reference trajectory lines are connected end to end to be planned into a continuous path; and generating a code file, and printing according to the printing sequence. The comprehensive mechanical property of a printed piece is improved.

The invention discloses a stamping die health state assessment method and system based on digital twinning, and relates to the technical field of die health state assessment, and the method comprises the following steps: a physical sensor network deployed on a stamping die collects die stamping process data in real time; constructing a finite element analysis simulation FEA model to simulate the working condition of the stamping die based on the geometric structure, the material attribute and the stamping process parameters of the die; according to the invention, the data of the die stamping process are collected in real time through the physical sensor network, and real-time calculation is carried out in combination with the finite element analysis simulation model, so that transient stress field, strain field and temperature field data of the die can be output in a short time, and real-time monitoring of the health state of the die is realized; by considering the degradation of the mold material performance along with the use time and the dynamic process of quantitative damage accumulation, the damage accumulation value is accurately calculated through the dynamic material performance database and the continuous damage mechanical model, and the accuracy of the evaluation result is improved.

The invention discloses a tunnel monitoring method and system based on a vibrating wire sensor, and relates to the technical field of tunnel engineering construction safety monitoring, and the method comprises the steps: collecting the vibration frequency data and spatial position coordinates of the vibrating wire sensor in a monitoring region; the method comprises the following steps: calculating a time difference and an energy attenuation ratio between adjacent sensors by extracting spectrum energy density distribution, and constructing a stress wave propagation field; dividing grids in the propagation field to calculate node stress values, generating a stress field distribution cloud picture and extracting a stress concentration area; calculating a gravity center position coordinate change rate and a stress time sequence curve of the stress concentration area, and determining fracture extension parameters; and calculating a surrounding rock bearing capacity attenuation curve based on the parameters, and outputting an early warning signal when the slope exceeds a threshold value. According to the invention, real-time monitoring and early warning of the tunnel surrounding rock instability risk are realized.

The invention provides a method and a device for evaluating and measuring microscopic mechanical properties of TC4 alloy, relates to the technical field of microscopic mechanical properties, and realizes accurate evaluation of material properties through combination of multi-scale characterization and numerical simulation. Firstly, a standard sample is prepared through selective laser melting, and residual stress field distribution is obtained through X-ray diffraction; dividing a stress field into sub-regions, and establishing a quantitative relationship between microscopic structure parameters and residual stress by combining SEM and EBSD analysis; the method comprises the following steps: acquiring local mechanical properties through a nanoindentation test, and constructing a stress-performance correlation model; and finally, establishing a finite element model, transmitting stress and tissue parameters by adopting trilinear interpolation and an inverse distance weighting method, verifying data reliability through a stress difference criterion, and calculating mechanical properties of each unit. According to the method, multi-scale correlation from microstructure characteristics to macroscopic mechanical properties is innovatively realized, so that the mechanical property distribution of the material is accurately evaluated.

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 space measurement and analysis method and system for a neutron diffraction rocking curve of a single crystal material, and the method comprises the steps: S1, building a laboratory coordinate system and a sample coordinate system, and setting a test point grid; s2, collecting a two-dimensional diffraction image of each test point to obtain angle information of the test point; s3, integrating the angle information of the test points based on the test point grid, and preprocessing the two-dimensional diffraction image; s4, extracting key structure parameters of each test point based on the preprocessed two-dimensional diffraction image; s5, constructing a stress field according to the key structure parameters; and S6, constructing a distribution map of crystal internal lattice parameters in a three-dimensional space according to the stress field. The method provided by the invention effectively improves the capability of identifying the non-uniformity and local distortion of the crystal structure, can be widely applied to the fields of residual stress evaluation, defect evolution monitoring, material quality control and the like, and has a remarkable engineering application value.

The invention relates to the technical field of welding stress detection, and discloses a vehicle welding stress detection method and device, and the method comprises the steps: applying a preset load to a welding part, carrying out the nonlinear finite element analysis and data driving mapping processing of an initial deformation field matrix, carrying out the characteristic decomposition of a stress field tensor to form a characteristic tensor, and carrying out the detection of the welding stress. Carrying out threshold segmentation on stress concentration factor distribution, inputting an abnormal region coordinate set into a damage evaluation model to carry out life and damage quantification processing, carrying out data integration and visualization processing on damage indexes, and generating a welding stress detection report; by applying the preset load, collecting the three-dimensional strain data of the welding part, constructing the initial deformation field matrix and combining nonlinear finite element analysis and data driving mapping processing, the stress field tensor is directly obtained, the error caused by deducing stress distribution only depending on surface deformation is avoided, and the accuracy of stress calculation is improved.

The invention relates to the technical field of data processing, and discloses a temperature effect modeling method and system for a concrete tower drum. The method comprises the steps of establishing a finite element model considering joint grading thermal resistance and prestress correction material parameters, adaptively adjusting a time step length according to a solar altitude change rate to calculate a radiation load, obtaining a convergence temperature field through bidirectional coupling iteration of a temperature field and a stress field, and extracting characteristic temperature to train a neural network to realize rapid prediction. According to the invention, the precision and efficiency of temperature effect analysis of the fabricated concrete tower drum are improved.

The invention discloses a composite material stress distribution analysis method and system and a storage medium. The method comprises the following steps: acquiring a defect detection image obtained by computed tomography or infrared thermal imaging; identifying a defect area in the composite material structure and extracting defect information; according to the defect information and the loading direction, calculating a defect-induced stress enhancement factor and a stress transfer function, and constructing a stress correction factor distribution diagram; establishing a reference finite element model ignoring defects, and calculating a reference stress distribution field; acting the correction factor distribution diagram on the reference stress field to generate a correction stress distribution diagram; combining defect identification errors and material statistical fluctuation to construct an uncertainty propagation model, quantifying the corrected stress diagram, and outputting a stress value interval map; and finally, jointly correcting the stress map and the interval map, and identifying a high-risk area.

The invention relates to the technical field of laser cladding repair, and provides a positioning and clamping system and method for repairing the surface of a large working roll of a steel mill based on laser cladding, a three-field coupling prediction model of a temperature field, a stress field and a displacement field is established, and a partial least squares regression algorithm is combined with a Kalman filter to realize multi-step prospective prediction. According to the predicted thermal deformation, self-adaptive compensation control is implemented through a three-layer cascade compensation mechanism composed of a hydraulic drive, a piezoelectric ceramic driver and a laser head adjusting mechanism. The system adopts a time domain, frequency domain and time-frequency domain joint analysis method to extract vibration characteristics, vibration types are classified and identified through a support vector machine, and an active-passive hybrid suppression strategy is adopted for different vibration sources. High-precision positioning and stable clamping of the large working roller in the laser cladding repairing process are achieved, and the thickness uniformity and the surface quality of a cladding layer are remarkably improved.

The invention discloses a method for rapidly evaluating the service life of a turbine cooling blade based on flight parameters, and belongs to the technical field of aero-engines. The method comprises the following steps: acquiring a load spectrum, a material, a structure and working state parameters of the turbine blade; establishing a blade finite element model and performing fluid thermosetting coupling analysis to obtain temperature field and stress field distribution; determining a dangerous part of the blade based on the temperature field and stress field distribution; respectively establishing a creep durability model, a low-cycle fatigue model and a fretting fatigue life model for dangerous parts; and finally, updating the model based on load spectrum data monitored in real time, and calculating the residual life of the blade. According to the method, the intrinsic performance of the material is associated with the characteristic structure of the blade, and the efficient life prediction model is constructed based on limited test data, so that the life consumption of the turbine blade is quickly and accurately evaluated according to actual flight parameters.

The invention relates to the technical field of tunnel engineering, in particular to a method and a system for optimizing design parameters based on unsymmetrical pressure tunnel blasting excavation dynamic response. The method comprises the following steps of obtaining geological parameters and construction parameters of surrounding rock of the bias tunnel, constructing a discontinuous structure equivalent damage model, and obtaining initial stress field distribution of a rock mass in combination with the discontinuous structure equivalent damage model, the geological parameters and the construction parameters; analyzing the time-varying modified dynamic mechanical parameters, and calculating through a stress wave propagation path and an energy dissipation rule to obtain a time travel curve of dynamic stress and vibration speed of each point of the surrounding rock in the blasting process; correcting a dynamic response index by using a self-adaptive artificial boundary condition to obtain a dynamic response state characteristic; and on the basis of the initial stress field distribution of the rock mass, the time history curve and the dynamic response state characteristics, optimal design parameters are obtained according to optimal design indexes. According to the method, the balance between the blasting vibration strength and the construction efficiency is realized by optimizing and adjusting the design parameters.

The invention relates to a mine slope dynamic monitoring method, system and device and a medium, and the method comprises the steps: carrying out the space-time registration and feature derivation of multi-source data from a GNSS, an inclinometer, a strain gauge and a microseismic monitor, and generating a fusion data set; based on the data set, solving a slope full-field displacement and stress field through mechanical inversion to form displacement-stress coupling data; constructing a differentiable physical constraint loss function of the quantitative prediction result and the rock mechanics principle deviation; performing joint training on the deep learning model in combination with a gradient back propagation algorithm to generate a displacement prediction model constrained by a physical mechanism; and a graded early warning signal fusing the displacement predicted value and the physical confidence coefficient is generated through physical consistency verification. According to the method, a physical mechanism is used as a priori knowledge depth embedded model training front end, so that the problem of insufficient early warning reliability caused by neglecting a mechanical rule of a pure data driving model is effectively solved, and the early warning accuracy and interpretability of a monitoring system under a complex working condition are improved.

The invention relates to the technical field of data processing, discloses a coupling calculation method for seepage deformation analysis of a dam body-dam foundation of a high earth and rockfill dam, and aims at solving the problem that a data acquisition method of an existing terminal device is poor in accuracy and safety. Carrying out grid division on a solid domain and a reservoir water external flow field area; performing transient calculation on the reservoir water external flow field area based on a computational fluid mechanics method, and solving an RANS equation to obtain flow field evolution data of the reservoir water external flow field area; the pressure field is applied to the surfaces of the dam body and the dam foundation, seepage-deformation coupling calculation is conducted on a solid domain based on a Biot equation in a u-p form, and displacement fields, pore pressure fields and effective stress fields of the dam body and the dam foundation are obtained; and post-processing the calculation result, and extracting response features. The accuracy of high earth and rockfill dam body-dam foundation seepage deformation analysis coupling calculation is improved, and the method is particularly suitable for high earth and rockfill dams with dam foundation defects.

The invention relates to a method for predicting the corrosion rate of a natural gas pipeline, in particular to the field of natural gas pipeline corrosion prediction.The high-precision dynamic early warning is achieved through the four-step cooperative technology, firstly, visible light and radar data are fused to generate a three-dimensional corrosion base film fully covering the pipeline, and blind areas caused by the complex environment are effectively eliminated; secondly, speculating corrosion probability distribution of a shielding area based on a physical constraint generative adversarial network, and solving a hidden area prediction problem; then, in combination with the stress field and historical data, deducing a space-time diffusion path of corrosion through a graph neural network, and outputting a future corrosion thermodynamic diagram; and finally, dynamically adjusting model parameters according to actually measured data to form a corrosion risk decision matrix of closed-loop optimization, thereby realizing the transformation of pipeline corrosion from passive protection to intelligent prevention in a breakthrough manner.

The invention discloses a cutting and welding method for a rectangular frame steel member, which relates to the field of cutting and welding processes, and comprises the following steps: S1, selecting steel of a preset material, constructing a three-dimensional model according to the design size of a rectangular frame, inputting material parameters to a process database, and simulating the distribution of a welding temperature field and a stress field through simulation software, and the cutting allowance, the reverse deformation and the welding sequence scheme of the steel blank are output. According to the method, laser cutting and plasma cutting are accurately matched, parameter optimization of three-dimensional nesting software is combined, the cutting precision is improved, based on simulation preset reverse deformation, dynamic clamping of a self-adaptive tool and symmetrical welding of double robots are matched, and the diagonal deviation of a rectangular frame is reduced; and the flatness error is reduced through post-welding high-frequency induction correction, and the high-precision assembly requirement is met.

The invention relates to the technical field of stress measurement, in particular to a form inversion measurement method and system for asymmetric distribution of residual stress of a bent component, and the method comprises the following steps: S1, welding a bent steel component with a box-shaped section, and obtaining the initial curvature of the bent steel component in the length direction of the bent steel component in an unconstrained free state; the method comprises the steps of S1, conducting cutting operation on the middle point in the length direction of the bent steel member or the section with the maximum initial bending rate, releasing the stress of the bent steel member to obtain two symmetrical sections of steel members, S2, conducting form inversion measurement and curvature variation calculation after stress release, S4, conducting residual stress distribution inversion calculation, and S5, conducting deformation calculation. The method is a core method capable of macroscopically and integrally measuring the residual stress distribution of the component and quantitatively verifying the stress asymmetry of the bending concave side and the bending convex side of the component. Meanwhile, a macroscopic measurement method and a local point measurement method can be combined, and mutual verification and correction are carried out, so that more accurate and reliable residual stress field data can be obtained.

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.

A surrounding rock deformation and failure test system with a rotatable stress main shaft in a three-dimensional crustal stress field is characterized in that a press machine upper pressure head and a press machine base are oppositely distributed up and down, and a loading hydraulic cylinder is connected with the press machine upper pressure head; the surrounding rock sample is vertically arranged in the axial loading space, and a simulation roadway is formed in the axis part of the surrounding rock sample; annular upper and lower end plates are fixedly connected in the upper and lower ends of the confining pressure cylinder respectively; the confining pressure cylinder sleeves the outer side of the axial loading space; a plurality of groups of mounting holes are uniformly formed in the circumferential directions of the annular upper and lower end plates; the radial pressurizing assembly comprises a supporting steel pipe and an elastic capsule. The main supporting section is sleeved with the elastic capsule, and a plurality of through holes are formed in the main supporting section. A plurality of strain bricks are pre-buried in the surrounding rock sample; the track is fixedly mounted in the simulated roadway; the micro camera is assembled on the track through the electric control trolley; and the strain gauge II and the acoustic emission probe are arranged in the simulated roadway. According to the system, the working condition that the direction of a stress field changes can be simulated in a three-dimensional true triaxial stress environment.

The invention relates to the technical field of mass concrete hydration heat monitoring, and particularly discloses an optimized layout method and system for mass concrete hydration heat monitoring sensors. The temperature field and the stress field are obtained through the trained prediction model and the target parameters of the concrete pouring project, the prediction precision of the temperature field is improved, meanwhile, the key monitoring area is determined according to the temperature field and the stress field, the contribution degree and optimization solution are combined, the optimal layout scheme is obtained, the space coverage degree of temperature monitoring is improved, and the prediction precision of the temperature field is improved. The use efficiency of the sensor is optimized, the monitoring cost is reduced, and a more intelligent solution is provided for hydration heat control in the mass concrete construction process.

The invention discloses a foundation pit seepage-deformation space-time coupling early warning method and system based on a large geological model, and belongs to the technical field of geotechnical engineering intelligent monitoring, and the method comprises the steps: processing a regional geological survey report through the large geological model based on a Transform architecture, and generating a high-precision three-dimensional stratum parameter field; further, an improved particle finite element method is adopted to carry out dynamic coupling solution of a seepage field and a stress field, a displacement rate vector is obtained, a hybrid network space-time prediction model fused with LSTM-Transform is constructed, a composite early warning index is calculated in combination with the real-time displacement rate vector, and through multi-source data fusion and space-time coupling analysis, an early warning result is obtained. Accurate evaluation and advanced early warning of the seepage stability and the deformation state of the deep foundation pit project are achieved, the accuracy and reliability of early warning signals are remarkably improved, and the method is suitable for foundation pit safety control under complex geological conditions.

The invention discloses a synthetic defect data generation method based on physical feature fusion, and relates to the technical field of defect data generation, and the method comprises the steps: building a real crack feature parameter library of stamping part cracking defects; a parameterized fractal function is adopted to generate a fracture basic form; the Poisson fusion algorithm is used for achieving material sensing fusion of the crack and the stamping part substrate, and edge artifacts are eliminated; performing personalized adjustment on the initial synthetic defect image to generate final synthetic defect data; and using the generated synthetic defect data for deep learning model training. According to the method, a basic system of a real crack characteristic parameter library and CAE stress field data is constructed, a physical real crack form adaptive to a stress field is generated in combination with a parameterized fractal function, edge artifacts are eliminated through Poisson fusion, personalized adjustment is performed through a semi-automatic tool, defect parameters are fed back and optimized by relying on a deep learning model, and thus the crack quality is improved. And finally generating stamping part cracking synthesis defect data with physical authenticity and deep learning adaptability.

The invention discloses a residual stress analysis method and device, a computer storage medium and a terminal.The method comprises the steps that a preset number of initial residual stress distribution data of a thin-walled workpiece blank is generated, and each initial residual stress distribution data is simulated through a finite element model; rough machining deformation field data caused by redistribution of the residual stress after the blank material is removed of each initial residual stress distribution data are obtained; in order to solve the problem that complexity in the manufacturing process needs to be considered when initial residual stress field data is obtained from rough machining deformation field data inversion, a deep neural network model used for determining the mapping relation between initial residual stress data and rough machining deformation data is established according to mapping relation data; rough machining deformation field data of actual machining is input into the deep neural network model, complex theoretical analysis and derivation are bypassed, and on the basis of not damaging the structure of the blank, the initial residual stress field prediction of the thin-walled workpiece blank is achieved.

Provided is a fracture preventing design method for a metal structure, the method comprising: establishing a stress field evolution characteristic curve of a metal structure under the action of a force load and determining a strength ratio Ib / σs of a material, calculating stress field characteristic values ω1 and ω2 under the action of a load, and, according to the calculated values, performing fracture design of the metal structure, thus enabling same to satisfy the design requirements for preventing elastic fracture and / or elastic-plastic fracture and / or fully-plastic fracture. The fracture preventing design method for a metal structure can guide structure designers in performing safety design of metal structures so as to improve the structure failure resistance, and involves simple calculations and achieves high applicability.

The invention belongs to the technical field of geological energy storage, and particularly provides an underground chamber surrounding rock thermal-mechanical coupling fatigue phase field simulation method and system, and the method comprises the steps: building a phase field evolution equation through a phase field fracture model and a fatigue degradation function; on the basis of the calculation model, according to the air temperature and pressure in the cavern, the Newton heat exchange law is adopted to calculate cavern wall heat exchange, and a cavern wall heat conduction equation is constructed; on the basis of the calculation model, utilizing rock mass displacement and surrounding rock strain to construct a rock mass deformation equation; performing numerical discretization on the phase field evolution equation, the cave wall heat conduction equation and the rock mass deformation equation on a finite element grid unit, and performing thermal-mechanical coupling solution on all discretized equations through an iterative method to obtain evolution results of a temperature field, a stress field, a displacement field and a crack phase field of the underground chamber surrounding rock target area. According to the method, the phase field method is applied to thermal-mechanical coupling simulation of the underground gas storage chamber surrounding rock crack propagation condition, and the authenticity of chamber crack simulation is reflected to the maximum extent.

The invention relates to the field of intelligent welding processes and control, and discloses a welding method for a superhard material sealing body multilayer structure. Comprising the steps of obtaining multilayer structure data, and generating a three-dimensional digital model; energy input parameters are optimized according to the heat affected zone and the stress concentration zone, and an initial energy tuning parameter set is generated; according to the initial energy tuning parameter set, temperature field data and stress field data in the welding process are collected, and the dynamic heat affected zone change trend is obtained; according to the change trend of the dynamic heat affected zone, adjusting energy input and a scanning path, and generating a corrected energy tuning parameter; controlling depth distribution of energy in the multilayer structure according to the corrected energy tuning parameters to obtain fusion depth and heat affected zone distribution; energy input and scanning speed are adjusted according to the fusion depth and the heat affected zone distribution, and an energy input parameter set is generated. The precision of energy control in the welding process is improved.

The invention relates to the technical field of geological exploration, and discloses a three-dimensional tectonic stress field inversion method based on real geological structure features, which comprises the following main steps: S1, data acquisition and preprocessing; s2, constructing a three-dimensional geologic model; s3, preliminary calculation of a stress field; s4, carrying out stress field inversion and optimization; and S5, carrying out refined correction and application on the stress field. According to the method, the limitation of a traditional two-dimensional method is overcome by establishing the accurate three-dimensional geologic model, and the three-dimensional modeling can accurately reflect underground complex geologic structures (such as faults and wrinkles), so that the accuracy of stress field inversion is remarkably improved. Especially under complex geological conditions, the three-dimensional model can better simulate an actual underground structure, and errors caused by simplified hypothesis are reduced.