311 results about "Stress field" patented technology

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 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 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 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 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 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 discloses an intelligent temperature control system for mass concrete, and the system comprises a state collection module which collects initial parameters of the concrete in real time, carries out the time sequence alignment and noise filtering of the state parameters of the concrete, and obtains the temperature state data of the concrete; the intelligent analysis module is used for inverting concrete thermal parameters through a physical information neural network based on the concrete temperature control data, substituting the concrete thermal parameters into a heat conduction finite element control equation to calculate space-time evolution of the whole-field temperature and stress field, and obtaining twin data of the concrete structure; and the prediction optimization module is used for executing multi-step rolling in a multi-input single-output branch mode based on the twin data of the concrete structure to predict temperature and stress evolution in a future time period, and learning dynamic association among the temperature, the stress and the cooling flow to execute minimum energy consumption screening of a temperature control standard and stress constraint to obtain an optimal cooling control instruction.

The invention discloses a large-section tunnel blasting control method and system based on an energy dissipation mechanism, and the method comprises the steps: constructing a blasting region three-dimensional geomechanical model of rock mass mechanical parameters, and mapping the energy demand distribution of each point; based on the model, establishing a stress wave field propagation and interference prediction model for predicting a space-time stress field under any microsecond-level delay sequence; constructing a multi-target fitness function, and solving through intelligent optimization algorithms such as a non-dominated sorting genetic algorithm and the like to obtain an optimal microsecond-level delay sequence; the sequence is issued to a plurality of electronic detonators through a high-precision synchronization and safety protocol to execute detonation; and collecting actual blasting monitoring data, comparing the actual blasting monitoring data with a model prediction result, and carrying out adaptive correction on geologic model parameters by applying extended Kalman filtering. According to the method, the stress wave field interference is actively constructed to realize distribution of energy according to needs, multiple blasting targets are considered, and continuous optimization is performed through feedback, so that the blasting precision, safety and economical efficiency are improved.

The invention discloses a mine working face stress monitoring and disaster early warning system and method, particularly relates to the technical field of coal mine safety monitoring, and is used for solving the problem of insufficient disaster early warning reliability caused by model uncertainty of an existing stress field inversion method. Accurate early warning of working face dynamic disasters is achieved by constructing a stress field analysis system containing uncertainty evaluation, surrounding rock strain data are obtained through an optical fiber sensing network, advanced stress field distribution is obtained through inversion calculation, uncertainty transmission and amplification effects in the inversion process are analyzed, confidence intervals of stress values of all areas are calculated, and the dynamic disasters of the working face are obtained. The critical degree of the current stress state is evaluated in combination with historical stress data, disaster early warning information is generated based on a multi-dimensional risk evaluation result, the reliability of stress field analysis and the accuracy of disaster early warning are effectively improved, and technical guarantee is provided for safe production of a working face.

The invention discloses an X-ray fluorescence spectrum detection method and system for bauxite, a medium and a product, and relates to the technical field of bauxite detection. According to the method, firstly, fluorescence spectrum data of a sample to be detected and mining area environment fingerprint data are obtained, and the initial concentration is determined through background noise stripping; then constructing a mineral phase interference network, calculating an interface radiation attenuation rate and a secondary fluorescence excitation probability based on mineral phase characteristics, and generating an interphase coupling interference matrix; constructing a stress field model according to environmental parameters, and correcting an interference matrix by using a lattice distortion coefficient; and inputting the symbiotic mineral phase combination into the environment adaptive interference model, and determining a nonlinear matrix effect deviation value. And finally, carrying out iterative compensation correction until the difference between adjacent correction values is smaller than a threshold value, and outputting accurate grade data of the target metal element. By implementing the technical scheme provided by the invention, the accuracy of X-ray fluorescence spectrum detection of bauxite can be improved.

The invention relates to the technical field of numerical simulation of rock dynamics, in particular to a numerical simulation method and system for the whole process of ore rock fracture based on FDEM impact loads.The method comprises the steps that a continuous medium structure is discretized into a finite element network composed of triangular units through FDEM, and an ore rock impact test model is constructed; setting material parameters and impact speed boundary conditions according to the ore rock impact test model; a normal contact force calculation model and a tangential contact force calculation model are established according to material parameters and impact speed boundary conditions, and coordinates and speed updating results of triangular unit nodes are obtained in combination with the Newton second law and the calculation models; and performing visual analysis based on the coordinate and speed updating result, and outputting crack propagation, stress field and energy evolution results under the impact load. The method can accurately simulate the crack propagation, the fracture mode and the energy evolution law of the ore rock under the impact load, quantitatively researches the crushing characteristics and the energy evolution law of the ore rock, and provides a calculation method for the research of the crushing mechanism of the ore rock.

The invention discloses a surrounding rock damage data analysis system and method based on multiple factors, and relates to the technical field of surrounding rock damage data simulation. A to-be-tested rock material is selected to prefabricate a closed crack group to form a stable roadway; setting different fatigue load intensities and cycle times, analyzing data changes of a stress field, a displacement field and acoustic emission under the action of the fatigue load based on an acoustic emission monitoring system, and determining a bearing performance change model; and real working conditions are simulated based on the bearing performance change model, a difference value between simulated data and real data is formed, an output target of fatigue load strength is intelligently corrected, and data compensation is realized for the bearing performance change model. According to the method, original defects such as joints and cracks in the rock mass and damage evolution under cyclic loads are included into an analysis framework, a reliable basis is provided for long-term safety and stability judgment of a roadway under cyclic load working conditions such as compressed air energy storage, and safe and efficient production of a coal mine is effectively supported.

This invention relates to a method, system, medium, and product for X-ray fluorescence spectrometry detection of bauxite, belonging to the field of bauxite detection technology. The method first acquires fluorescence spectral data and mining area environmental fingerprint data of the sample to be tested, and determines the initial concentration by background noise stripping. Then, a mineral phase interference network is constructed, and the interfacial radiation attenuation rate and secondary fluorescence excitation probability are calculated based on mineral phase characteristics to generate an interphase coupling interference matrix. Next, a stress field model is constructed based on environmental parameters, and the interference matrix is ​​corrected using the lattice distortion coefficient. The coexisting mineral phase combination is input into the environmental adaptive interference model to determine the nonlinear matrix effect deviation value. Finally, iterative compensation correction is performed until the difference between adjacent correction values ​​is less than a threshold, outputting accurate grade data of the target metal element. Implementing the technical solution provided in this application can improve the accuracy of X-ray fluorescence spectrometry detection of bauxite.

The invention discloses a tight sandstone gas reservoir horizontal well volume fracturing fracture characteristic parameter obtaining method and device and a storage medium. The method comprises the following steps that S10, the change relation of the pumping pressure, the displacement and the sand ratio along with time is obtained based on a fracturing construction curve; and S20, the effectiveness of fracturing construction is judged. And S30, geological parameters, well completion parameters and construction parameters of a fracturing implementation well are obtained, and a horizontal well fracturing geological model, a stress field model and a wellbore model are established. And S40, fracturing pump injection program parameters are input based on the fracturing construction bulletin. And S50, on the basis of the geological parameters, the well completion parameters and the construction parameters, fracturing crack characteristic parameters are solved. With the adoption of the method, the form and characteristic parameters of the fracturing crack can be obtained after the field fracturing construction is finished, so that a support is provided for evaluating the fracturing yield increasing effect.

The invention discloses a high-performance cast cold roll evaluation method based on stress of a working layer and a bonding layer, and belongs to the technical field of metallurgical mechanical equipment design and life evaluation, and the method comprises the following steps: calculating the maximum contact pressure between a working roll and a supporting roll and the flattening width of a contact surface; further determining the maximum shear stress in the working roll and the depth position corresponding to the shear stress; according to radius changes of the working roller in different wear stages, the maximum contact pressure and the contact surface flattening width in different wear stages are calculated for multiple times, and then normal stress at the position of a bonding layer in each stage and shear stress derived from the normal stress are calculated; performing simulation verification on calculation data based on a stress field of finite element simulation; comparing the shear stress of the bonding layer obtained after calculation with the total stress level after the residual stress is considered, and the allowable shear stress of the same material; and the risk is judged. The service life of the roller can be prolonged, and the equipment loss cost of cold-rolled strip steel production is reduced.

The invention relates to the technical field of rock mechanics experiments, and discloses a high-temperature rock strength testing method for eliminating thermal stress interference through active temperature control, and the method comprises the following steps: determining a temperature control cooling rate threshold value for eliminating thermal stress accumulation based on a temperature field-stress field coupling model; the rock sample is controlled to be heated to a target temperature value, heat preservation is conducted for a preset time length, the constant-temperature box containing the rock sample subjected to heat preservation is subjected to temperature-controlled cooling to the room temperature at the target temperature-controlled cooling rate not higher than the temperature-controlled cooling rate threshold value, and therefore the internal temperature field of the rock sample is made to change evenly; and carrying out mechanical strength test on the rock sample subjected to temperature-controlled cooling to obtain a test rock strength parameter without thermal stress interference. According to the invention, thermal stress accumulation caused by natural cooling can be effectively avoided, the precision and reliability of high-temperature rock strength testing are remarkably improved, measurement errors caused by thermal stress interference are reduced, and the engineering requirements of deep ultrahigh-temperature stratum rock mechanical property research are met.

The application discloses a numerical simulation method for laser welding of molybdenum-rhenium alloy and stainless steel dissimilar materials, prepares a joint of laser welding of molybdenum-rhenium alloy and stainless steel dissimilar materials, and obtains a molten pool pattern of the joint; each thermal physical property parameter and mechanical property parameter of molybdenum-rhenium alloy base material, stainless steel base material and weld metal is obtained through experiment and calculation; a thermal-structure calculation model of the laser welding process of the molybdenum-rhenium alloy and stainless steel dissimilar materials is established; initial conditions, boundary conditions and a heat source model of the laser welding model are set; a laser welding analysis task is established, and a temperature field and a stress field of the laser welding process of the molybdenum-rhenium alloy and stainless steel dissimilar materials are solved. The method converts the yield strength of the weld metal by using the Vickers hardness of the weld metal, obtains the component proportion of the weld by means of energy spectrum analysis, and calculates the high-temperature property parameter of the weld metal by means of a calculation software. High-precision calculation of the temperature field and the stress field of the laser welding process of the molybdenum-rhenium alloy and stainless steel dissimilar materials is realized.

The invention provides an LNG (Liquefied Natural Gas) conveying flexible pipeline crack initiation and extension prediction method, which comprises the following steps of: constructing a multilayer composite structure geometric model, and defining thermal parameters and mechanical parameters of each layer of material in the model; presetting an initial crack in the model, and establishing a thermal-mechanical coupling control equation containing an interface thermal resistance effect; applying an internal ultralow temperature boundary condition, an external environment temperature boundary condition and a mechanical load boundary condition; solving the thermal-mechanical coupling control equation to obtain temperature field distribution of the section of the pipeline, applying a temperature field as a body load to the multilayer composite structure geometric model, and calculating to obtain a stress field and a stress intensity factor of a crack tip; constructing a crack propagation criterion considering the interface thermal resistance effect; and comparing the stress intensity factor obtained by calculation with a crack propagation criterion, and judging whether the crack is propagated or not. According to the method, the physical authenticity and calculation precision of crack initiation and propagation prediction of the LNG flexible pipeline in the ultralow temperature environment are improved.

This invention discloses a method and system for inverting mechanical parameters and intelligently analyzing the stability of tunnel surrounding rock, relating to the field of intelligent construction technology for tunnels and underground engineering. The method includes: collecting tunnel monitoring and measurement data and constructing a displacement field observation matrix; constructing a physical information neural network embedded with the geotechnical mechanics control equations to invert the mechanical parameters and stress field of the surrounding rock; automatically calling the finite element kernel through a programming interface and calculating the safety factor of the surrounding rock using the strength reduction method; using evidence theory to fuse multi-source analysis results and output the stability level; and driving online model updates and support optimization through prediction-monitoring comparison verification. This invention achieves the integration of parameter inversion, automated numerical simulation, and closed-loop verification, improving the accuracy, efficiency, and intelligence level of surrounding rock stability analysis.

This invention discloses a simulation method for the asymmetric aluminum profile extrusion process, specifically relating to the field of metal forming simulation technology. The method involves: constructing an asymmetric profile geometric model and extracting key structural parameters; establishing a multi-cavity welding die thermo-mechanical coupling simulation model; constructing a dynamic recrystallization microstructure evolution model; setting initial extrusion process conditions and performing finite element simulation; comparing the simulation results with historical conditions to identify abnormal regions and extract flow trajectory feature vectors; combining microstructure parameters to invert the microstructure evolution path and generate a defect prediction matrix; solving for the optimal process parameters using a numerical optimization algorithm and re-simulating to verify whether the microstructure and stress field distribution meet the standards. This method can achieve prediction of microstructure defects and intelligent optimization of extrusion parameters, improving the quality control capability of the asymmetric profile extrusion process.

The application relates to the technical field of gear production, and particularly provides a press-fitting verification system and method for gear production, which comprises a dynamic stress field capturing subsystem, a micro deformation field reconstruction subsystem and an integrated resonance verification subsystem. The method comprises the following steps: forming a piezoelectric nanowire network through a nanometer piezoelectric material deposition process, capturing a dynamic stress field in a press-fitting process, and outputting a stress field space-time sequence; receiving the stress field space-time sequence, reconstructing a micro deformation field of the gear through space-time deconvolution processing, realizing space-time deconvolution processing based on wave propagation principle, and outputting a deformation field distribution diagram; receiving the deformation field distribution diagram, synthesizing theoretical resonance characteristics through a structure resonance model, matching the structure resonance model with measured resonance characteristics through a discretized structure dynamics method, obtaining the measured resonance characteristics through an acoustic resonance scanner, and outputting a press-fitting quality verification value. The application improves the controllability of a gear press-fitting process and the reliability of a product.

The application discloses a kind of based on the stress field reconstruction and test verification method of blade root of multiple measuring points, comprising the following steps: blade root parameter sampling, modeling and carrying out blade root rim strength analysis;Field reconstruction model is constructed, and the input and output of model are divided, and the reconstruction model training is completed using data;Develop blade root rim tensile test, compare the numerical value measured by test with reconstruction stress value, and verify the reliability of reconstruction model.The application can obtain the stress field of blade root rim position according to input after the establishment of reconstruction model, complete strength analysis, effectively avoid the problems such as long analysis time and large calculation resource consumption in traditional finite element method, with the advantages of fast calculation speed and high precision, and can realize digital twin in industrial scene.The application verifies reconstruction stress field using blade root rim tensile test result, so that reconstruction model result is more convincing.

The present application relates to the technical field of stress field of drum, in particular to a kind of winding type permanent-magnet outer rotor hoist drum stress field prediction method.The present application is to solve the problem that the stress field of permanent-magnet outer rotor hoist drum cannot be predicted in prior art, therefore a new winding type permanent-magnet outer rotor hoist drum stress field prediction method is provided, comprising the following steps: one, establishing the three-dimensional geometric model of drum;Two, import three-dimensional geometric model into finite element analysis software;Three, obtain the simulation stress field of drum;Four, obtain the modal base function and modal coefficient capable of representing the simulation stress field of drum;Five, establish nonlinear relationship regression model and approximate reconstruction stress field;Six, predict the running position and steel wire rope tension at future time;Seven, the running position and steel wire rope tension at future time predicted are introduced into step five, so as to realize the prediction of stress field.The present application realizes the prediction of drum stress field.

The application discloses a dangerous rock mass deterioration multifunctional test device and method, and through the setting of a self-weight stress loading frame and a detachable rock deterioration experiment cabin, deep coupling of mechanical load and environmental erosion is realized, technical defects of mutual disconnection of a stress field and an environmental field in traditional tests are solved from the root, the whole process of rock samples from deterioration evolution to final mechanical failure does not need to experience secondary transportation and repeated installation, a crack initiation and evolution mechanism under the guidance of a stress field is effectively restored, and therefore, the accuracy of experimental data in characterization of real damage laws of dangerous rock mass is remarkably improved.

The invention discloses a method for predicting laser cladding deformation and stress of a non-rigid substrate based on machine learning, and belongs to the technical field of optimization of a laser additive manufacturing process. The method comprises the following steps: constructing a thermal-mechanical coupling finite element model, simulating a laser cladding process, and establishing a mapping database of process parameters, a deformation field and a stress field; standardizing the data, dividing the data into a training set and a verification set, training a plurality of machine learning algorithms, and preferentially selecting an agent model; and the reliability and the precision of the model are ensured by verifying and optimizing the model in a closed-loop manner through actual experiments. The core innovation of the invention lies in that the controllable deformation of the non-rigid substrate is actively used as a stress release mechanism to inhibit the generation of cracks. The method further supports reverse process design with the target deformation and the target stress value as input, and optimization of laser cladding process parameters is achieved.

The invention discloses a high-precision modal test method and related equipment, and belongs to the technical field of structural dynamics tests.The method comprises the steps that spring design parameters are obtained, and spring design variables are initialized and generated; calculating stress field characteristic parameters based on the spring design parameters and the spring design variables; evaluating stress field characteristic parameters based on preset stress field constraint conditions; under the condition that the stress field characteristic parameters meet the stress field constraint conditions, spring design variables are output to serve as spring design results; and preparing a spring based on a spring design result, and completing a modal test. According to the method, the stress field quantification constraint condition is introduced in the modal test instrument spring design stage, the characteristic parameters of the modal test instrument spring are evaluated, the modal test instrument spring design precision and reliability can be effectively improved, the spring design iteration period is remarkably shortened, the modal test precision and stability are improved, and the modal test efficiency is improved. And the design requirement of the high-reliability spring is effectively met.

This invention relates to the field of engineering machinery structural optimization technology, specifically to a method and system for topology optimization of excavator structures based on real-time stress field reconstruction. The method involves acquiring deformation and stress data of key parts of the excavator boom using a distributed fiber optic grating sensor array, and then modeling and simulating these data in finite element analysis software to obtain virtual data. A Kalman filter is designed to correct errors between the virtual and actual test data, and the corrected data is used to train the Kalman filter to predict the real-time stress field distribution. Furthermore, a topology optimization model of the excavator structure is established, encoding material properties into weight matrices in a neural network, and using stress constraint partial differential equations as constraints. This achieves high-precision reconstruction of the excavator boom stress field under actual working conditions, providing accurate boundary conditions for topology optimization.