115 results about "Strain response" patented technology

The invention relates to the technical field of special-shaped pipe gallery manufacturing, and discloses a special-shaped prefabricated pipe gallery component forming method based on BIM parameter optimization. The method comprises the following steps: receiving initial BIM model data, extracting geometric topology features and material attribute features, and generating multi-dimensional feature vectors; performing structural characteristic classification on the component according to the vector, and dividing the component into a static characteristic component and a dynamic characteristic component according to a strain response threshold value when the component is stressed; when it is detected that parameter conflicts exist in the two types of components, an optimization constraint condition set containing conflicting parameters is constructed, and a multi-target parameter optimization path is generated; and performing iterative simulation on the initial BIM model data according to the path, and outputting optimized BIM model parameters meeting a preset forming standard. According to the method, through multi-dimensional feature integration, accurate classification and multi-target parameter optimization, dynamic coordination of parameters of the special-shaped prefabricated pipe gallery component is achieved, the consistency of component design and forming is improved, and the method is suitable for production of the special-shaped prefabricated pipe gallery component in a complex engineering environment.

The invention provides an in-situ real-time monitoring method and system for a rock microscopic fracture mechanism and stress evolution. The method comprises the following steps: S1, standardized preparation and pretreatment of a rock sample; s2, in-situ loading and multi-modal data synchronous acquisition are carried out; s3, crack dynamic tracking and stress-strain field joint calculation; s4, constructing a microscopic-macroscopic quantitative correlation and damage model; and S5, performing multi-dimensional dynamic visualization and engineering output. The in-situ scanning electron microscope and the mechanical loading device are integrated, so that cross-scale synchronous monitoring and quantitative analysis of micro crack evolution and macroscopic stress-strain response are realized. A low-disturbance clamping device and a conductive anti-charge sample are treated, and in-situ testing is ensured; combining DIC and deep learning to quantify a crack propagation path, a local strain field and energy characteristics; through DIC strain inversion and finite element calculation, a non-contact stress cloud picture is generated in real time, and finally quantitative correlation between a microscopic fracture mechanism and macromechanical response is established.

The invention relates to the technical field of spring measurement, and discloses a spring fatigue life test system and a dynamic balance evaluation method, and the system comprises a reference length acquisition module, a dynamic balance state determination module, a working condition spectrum loading module, a stress-strain response data acquisition module, a damage feature extraction module and a life evaluation module. Acquiring a reference length in a free state; step increasing preload is applied, and when it is detected that the deformation rate of the to-be-detected spring is smaller than a set threshold value, it is judged that the to-be-detected spring reaches a dynamic balance state; in a dynamic balance state, loading the to-be-tested spring based on the variable amplitude load time sequence signal, and synchronously acquiring stress-strain response data; identifying the stress characteristics of the to-be-tested spring in the load period; generating a life evaluation report based on the stress characteristics; the accuracy of the fatigue life of the spring can be improved.

The invention relates to the technical field of arc shaped energy-gathered blasting parameter design, and provides an arc shaped energy-gathered blasting parameter design method under a complex crustal stress condition, which comprises the following steps: establishing a double-hole blasting three-dimensional model comprising a rock mass, an arc explosive, an energy-gathered pipe and coupled air, applying a crustal stress boundary condition and carrying out stress initialization; setting material model parameters based on the test data; performing fluid-structure interaction dynamic response numerical simulation on the model by adopting LS-DYNA to obtain stress and strain response caused by blasting; and establishing evaluation indexes based on tensile stress, compressive stress and through crack formation, carrying out sensitivity analysis and optimization adjustment on key blasting parameters such as blast hole spacing, delayed detonation time, explosive loading amount and coupling coefficient, and finally determining an optimal blasting parameter combination in different stress states. The method can effectively meet the blasting operation requirement under the complex ground stress condition, the presplitting quality and the rock mass stability are remarkably improved, and the method has wide engineering application prospects.

The invention discloses a six-dimensional force sensor dynamic decoupling and coupling processing method, and relates to the technical field of mechanical measurement sensing detection, and the method comprises the steps: building a dynamic decoupling relation of six-dimensional mechanical component and elastomer strain response coupling mapping based on an original voltage signal and a static calibration parameter of a six-dimensional force sensor; dynamically modulating the mechanical compensation factor of the dynamic decoupling relation through the environmental influence factor; according to the modulated mechanical compensation factor, performing real-time suppression and compensation on coupling deviation caused by environmental disturbance, and outputting a six-dimensional mechanical component subjected to environmental compensation; performing high-precision decoupling processing on the six-dimensional mechanical component subjected to environment compensation to generate a corrected six-dimensional mechanical component; performing closed-loop online updating on the mechanical compensation factor of the dynamic decoupling relation by using the corrected six-dimensional mechanical component; according to the invention, the coupling deviation caused by environmental disturbance is suppressed and compensated in real time, and the defects of the six-dimensional force sensor in the aspects of decoupling precision and measurement stability are improved.

The invention discloses a method for predicting mechanical properties of ultra-high performance concrete, particularly relates to the technical field of dynamic property analysis of building materials, and aims to solve the problem that sudden brittle failure of materials cannot be accurately predicted under impact and explosion loads in the conventional method. The method comprises the following steps: calculating a macroscopic stress-strain response based on a continuum mechanical equation by acquiring a material ratio parameter and a dynamic load condition; constructing topological features through the strain energy entropy change rate to locate a damage area; determining an interface debonding energy threshold value and a crack growth rate of the damaged area in combination with interface fracture mechanics; utilizing the law of conservation of energy to establish dynamic correlation between interface debonding energy and strain energy density; when the crack growth rate exceeds an interface debonding energy threshold value, correcting macroscopic response data of a sudden stress drop interval based on the dynamic association relationship; the cross-scale coupling of a microscopic damage mechanism and a macroscopic mechanical behavior is realized, and the prediction precision under a dynamic load is remarkably improved.

The invention provides an underwater vehicle measuring point layout optimization method and system, and belongs to the technical field of experimental measuring point layout optimization. Comprising the following steps: obtaining simulation data of an underwater vehicle structure through finite element simulation, and extracting strain data of a unit capable of arranging a strain gauge area according to actual engineering constraints; centroid coordinates of the units, sensitivity values of strain response values relative to working conditions and strain gradients are calculated by taking centroids of the units in the areas where the strain gauges can be arranged as nodes; mapping the strain response values of all the nodes to a unified interval to obtain a normalized strain response value; obtaining sensitivity coverage and strain gradient coverage, and calculating space coverage of all nodes; integrating the normalized strain response value, sensitivity coverage, strain gradient coverage and space coverage as optimization indexes, and performing optimization by adopting an improved discrete artificial bee colony algorithm; and a final layout scheme is decided by outputting the relationship between the number of the measuring points and the information amount.

The embodiment of the invention relates to the technical field of energy absorption metamaterial structures, and discloses a mixed lattice lattice metamaterial structure which comprises a plurality of lattice structure unit cells which are sequentially arranged in the X direction, the Y direction and the Z direction to form a lattice metamaterial unit. Each lattice structure unit cell comprises a cubic truss, a transition rod and a supporting column, and the two ends of the transition rod are connected with the cubic truss and the supporting column respectively. According to the embodiment, the problem that the energy absorption capacity of a stretching dominant structure is reduced due to unstable stress-strain response in the nonlinear stage is effectively solved, and through the unique structural design, the yield resistance of the structure in the initial loading stage is enhanced, so that the structure can bear external loads more stably.

The invention belongs to the technical field of bridge health monitoring, and particularly relates to a bridge damage positioning method and system based on deep learning and strain response, and the method comprises the steps: obtaining the basic parameters, damage position and damage degree of a bridge, and obtaining the damage condition of the bridge according to the basic parameters, damage position and damage degree of the bridge; according to the bridge damage working condition, strain response data of the bridge under the load effect are calculated through finite elements; according to the strain response data, obtaining a training data set containing single-damage and multi-damage samples; training a one-dimensional convolutional neural network model containing multi-scale feature extraction and a multi-channel attention mechanism by using the training data set to obtain a damage positioning model; and accurately positioning the bridge damage by using the damage positioning model to obtain a positioning result.

The invention discloses a turbine blade probability strength design optimization method and device, equipment, a medium and a product, and relates to the technical field of blade strength design, the method comprises the following steps: obtaining a preliminary blade geometric structure and preliminarily selecting material parameters according to strength requirements and operation load working conditions; the probability distribution of the load working condition, the geometric structure, the material parameters and the model parameters serves as input variables of finite elements, and stress-strain response is obtained; designing a similar structural member, carrying out multi-level verification on the precision of the life prediction model, calculating the total damage of the blade based on the life prediction model, obtaining the probability distribution of the total damage, and further obtaining the reliability under the design life meeting the strength requirement; and judging whether the reliability meets design requirements or not, and if not, performing optimization design by taking improvement of a reliability value as a target until the reliability meets the design requirements. The objective uncertainty in the design process can be considered, the part service life prediction precision is improved, and more accurate strength design is achieved.

The invention discloses a near-field resonance induction temperature sensor based on a microwave complementary interdigital resonator. According to the sensor, on the basis of the idea that temperature information response and temperature information generation are isolated from each other, near-field multi-resonance temperature tuning of the microwave complementary interdigital resonator based on metal thermal expansion strain response is realized by introducing a metal induction sheet, a high-temperature-resistant ceramic shell and a metal thermal branch knot; resonance characteristic parameters of the sensor are read in real time based on the vector network analyzer so as to obtain real-time temperature information. Besides, by introducing the high-temperature-resistant ceramic shell and the metal thermal branch knot, the temperature sensor is endowed with long-time stable and reliable working characteristics in a complex working condition environment, and one-way support constraint and one-way free strain displacement conduction of the metal thermal branch knot are also realized. Finally, the temperature regulation and control of the metal induction sheet in the loading state and the temperature conversion characterization of the near-field multi-resonance response of the resonator are realized. The sensor provided by the invention has the characteristics of flexible material and structure type selection customization based on actual temperature sensing requirements.

The invention relates to a large-span bridge steel box girder fatigue damage local and overall collaborative evaluation method and system. Acquiring strain responses of a reference section and a test section of the steel box girder before and during traffic service based on a dynamic load test, defining and calculating a strain ratio and a rigidity ratio of each monitoring point, and diagnosing local crack positions of the steel box girder by utilizing statistical characteristics of the strain ratios; establishing a mapping relation between the rigidity ratio and local damage such as crack length, expansion rate and tip position, and proposing a fatigue crack safety coefficient to realize collaborative quantitative characterization of local damage and overall safety; and constructing a genetic algorithm to optimize a support vector machine model, and developing a real-time evaluation system which takes the real bridge strain response as input and takes the local crack damage type and the overall safety level of the steel box girder as output. The defect that local damage diagnosis and overall performance evaluation of the steel box girder are mutually separated in a traditional method is overcome, and real-time diagnosis and safety evaluation of fatigue damage of the large-span bridge can be synchronously achieved.

The invention relates to the field of urban rail transit engineering and structural dynamics, and provides an interlayer and strain rate coupled subway tunnel lining dynamic mechanical property evaluation method and system, and the method comprises the following steps: 1, preparing an interlayer-containing cement-based cylindrical sample; step 2, applying strain rate loading, and collecting original data; step 3, reconstructing stress-strain response, and performing criterion of stress balance and constant strain rate; 4, acquiring the energy absorption rate, the dynamic compressive strength and the yield inflection point strain, and recording the failure form type; 5, establishing a statistical damage model and inverting model parameters; step 6, extracting an initial damage coefficient and a damage rate, and establishing an empirical regression formula; and step 7, constructing an evaluation index set, performing grading evaluation, and outputting material optimization and process suggestions. According to the scheme, the design, checking calculation and rapid evaluation capabilities of the subway tunnel lining under high strain rate working conditions such as impact or explosion are remarkably improved.

The application discloses a device and method for simulating the quick strain failure behavior of a nuclear fuel cladding, which comprises a support structure composed of a rack moving base and a hoisting device, a load loading system composed of a fixing frame, a powerful electromagnet, a limiting device, a counterweight and a guide column, and a test and measurement system composed of a punch, a plunger, a guide sleeve, a piston cylinder, a cylinder body, a hydraulic oil chamber, a pressure sensor, a driving pipe mounting flange, a locking nut, a driving pipe, a cladding pipe and a data acquisition device; the application provides a test method matched with the device; the application can realize the simulation of the quick strain failure behavior of the nuclear fuel cladding under the plane strain stress condition in the millisecond scale, can accurately record the internal pressure and strain response relationship of the cladding under the quick strain condition, and thus realizes the evaluation of the quick strain failure performance of the cladding.

The application provides an aero-engine axial load sensor modal test device and method, relates to the technical field of aero-engines, and can simulate the load that an axial load sensor is subjected to in an engine under the combined action of a loading top seat and a loading bottom seat. The axial load sensor is subjected to an experiment based on this. A sweep exciter is used for frequency sweeping excitation during the experiment. The strain gauge is reasonably distributed by combining a finite element method. The strain response of the sensor under resonance and the corresponding frequency are collected by using the strain gauge. A displacement reconstruction algorithm based on strain data is developed. Therefore, the accurate identification and reconstruction of the vibration mode of the sensor are realized. The multi-angle test of the axial load sensor is realized. The problems of the axial load sensor in the actual use process are comprehensively considered.

This invention relates to the field of optical cable testing technology, and in particular to a testing device and method for testing the coupling performance of optical cables with soil. Regarding the testing device, a relative-slip test chamber is used to accommodate a soil sample; a vertical loading mechanism is used to apply a vertical load to the soil sample within the relative-slip test chamber; a transverse loading assembly is used to apply a transverse load to the test chamber assembly; the test optical cable is inserted inside the relative-slip test chamber and is wrapped by the soil sample; the optical cable tensioning mechanism and the optical cable fixing fixture work together to apply pre-tension stress to the test optical cable, maintaining deformation coupling with the soil sample. During the test, real-time deformation data of the soil sample and strain response data of the test optical cable are simultaneously acquired, comprehensively recording the mechanical changes throughout the entire process from elastic coupling and micro-slippage to debonding failure between the test optical cable and the soil sample, thereby achieving multi-dimensional, full-process quantitative testing of the coupling performance between the optical cable and soil.

The application discloses a dual-mode optical coherence elastography device and method. The device comprises an excitation unit for generating an acoustic field; an imaging unit which is an optical coherence tomography system and is used for detecting the vibration of a sample, i.e. a strain response and an elastic wave response; and a coupling unit which has an acoustic reflection surface with a middle through hole and is used for reflecting the acoustic field generated by the excitation unit so that the coupling between a probe light beam emitted by the imaging unit and the acoustic field emitted by the excitation unit is on the same side of the sample. The application uses a multi-beam optical coherence tomography system to emit two or more probe light beams for dual-mode elastography, and can simultaneously obtain high-resolution strain information and quantitative elastic information of the sample, thereby solving the problem that the prior art cannot simultaneously perform strain imaging and elastic wave imaging.

The invention provides a steel bifurcated pipe welding residual stress detection system and method based on water pressure loading, and relates to the technical field of residual stress detection. Determining a stress correction coefficient on the detection mark point in the pressure maintaining stage, determining a spatial displacement of the detection mark point under the corresponding pressure according to all the stress correction coefficients and the stress distribution coordinates, and determining a strain detection value under each pressure according to the spatial displacement under the corresponding pressure; judging a strain response relationship when all the spatial displacements change along with the water pressure, and determining a residual compensation value after complete pressure relief based on corresponding deformation difference characteristics; and evaluating the residual stress distribution grade of the steel branch pipe welding area according to the strain detection value under each pressure and the residual compensation value after complete pressure relief. According to the method, the residual stress of the welding area of the steel branch pipe can be accurately detected under step-by-step water pressure loading circulation, so that the accuracy of residual stress distribution grade evaluation is improved.

The invention discloses a reinforcement learning-based high-speed rail anti-cracking steel bar layout optimization method, which comprises the following steps of: acquiring a high-speed rail track structure engineering data set, and setting a crack control index, a steel bar quality control index and a construction duration control index; constructing a multi-scale finite element model; executing early-age temperature control coupling simulation on the multi-scale finite element model to obtain an early-age temperature field result set; obtaining a stress-strain response result set and a deformation response result set, and generating a crack risk spatial distribution map based on the stress-strain response result set and the deformation response result set; defining a reinforcing steel bar laying action space comprising reinforcing steel bar diameter selection, reinforcing steel bar spacing selection, reinforcing steel bar trend selection and modular binding path selection; starting a learning iteration process to update the sparse reinforcement learning agent, and accumulating to convergence criterion evaluation; and forming an executable production material set. According to the method, the crack identification error is obviously reduced, and the adaptability of the layout scheme and the real service environment is improved.

The application discloses a kind of deformation monitoring method and device of two-way large-span space combined steel net rack, it is related to structural monitoring technical field, the method includes: obtaining the basic structure data and environmental action parameter of steel net rack, constructs combined steel net rack twin model, simulates stress-strain response under two-way load coupling.Identify abnormal deformation characteristics and generate deformation correction coefficient.Based on correction coefficient adjustment model boundary condition, iterative optimization dynamic monitoring threshold, establish hierarchical early warning mechanism, realize the structure health of steel net rack reminds.Solve the technical problems that the precision of existing large-span steel net rack deformation monitoring method is limited under complex environment coupling load, dynamic threshold poor adaptability, by constructing twin model and dynamic monitoring area division, combined with multi-source sensor data fusion and iterative optimization algorithm, reach the stress-strain response high-precision real-time monitoring under two-way load coupling, realize the technical effect of dynamic threshold hierarchical early warning.

The application relates to a kind of methods for establishing elastic-plastic constitutive model based on neutral loading of granular material, comprising: using discrete element stress probing test to analyze the incremental stress-strain response of granular material under neutral loading condition;According to the strain response envelope of different states, under the framework of critical state theory, the plastic flow direction, plastic modulus and shear dilatancy coefficient suitable for the neutral loading condition are derived, and the constitutive model is constructed;The predictive ability of the constitutive model constructed under the neutral loading condition is verified by simulating stress probing test and principal stress axis rotation test.The beneficial effects of the application are that the application can accurately predict the plastic strain, shear dilatancy coefficient and plastic flow direction of granular material under the neutral loading condition, and solve the problem of inaccurate prediction of traditional models under the neutral loading condition.

According to the multi-platform stress-strain performance evaluation method of the self-similar lattice metamaterial, the analysis model from a single platform to multiple platforms is constructed, and finite element simulation and experimental verification are combined, so that stress-strain response characteristics of multiple platform stages of different self-similar order lattice metamaterials can be effectively predicted and revealed; and high-precision prediction of the elastic modulus and the platform stress of the self-similar lattice metamaterial is realized. In this way, the blank of multi-platform stress-strain performance theoretical evaluation of the current self-similar lattice metamaterial is filled, and a reliable theoretical basis is provided for customized design and performance optimization of the self-similar lattice metamaterial in the fields of aerospace, intelligent equipment, biomedicine and the like.

This invention discloses a method, device, equipment, and storage medium for identifying abnormal states of light rail bridges. The method includes the following steps: for bridges with the same structural form and span arrangement, monitoring data of each measuring point on the bridge is acquired based on dynamic strain measuring points set at the same control section and spatial location on the bridge; based on the monitoring data, the dynamic strain response when the first train crosses the bridge is determined, and the dynamic strain influence line of the first train crossing the bridge is obtained through the dynamic strain response; based on the dynamic strain influence line, it is determined whether there is an abnormality in the light rail bridge. This application can effectively determine the abnormal state of light rail bridges when trains pass over them, solving the problem of abnormal diagnosis of light rail bridges in actual operation. At the same time, by judging the abnormal state of light rail bridges, the structural safety and health monitoring of light rail bridges is realized, ensuring the smooth operation of the line.

The invention relates to a method for constructing a constitutive model of a marine metallurgy composite pipe material. The method comprises the following steps: S1, acquiring parameters; s2, constructing a model; and S3, outputting the model. The method can avoid dependence on complex finite element simulation or is only suitable for an empirical model of a specific material combination, and is especially suitable for a composite pipe material of which a base layer and a coating layer have no yield platform; the complete stress-strain response of the metallurgical composite pipe under different material combinations and composite proportions can be efficiently and accurately described only by inputting conventional mechanical property parameters, so that a theoretical basis and a practical tool are provided for design, safety evaluation and engineering application of the composite pipe structure.

The invention relates to the technical field of wind turbine generator tower drum fault diagnosis, in particular to a wind turbine generator tower drum bolt diagnosis method and related equipment, and the method comprises the steps: arranging reference points in a tower drum region far away from a flange, dividing a monitoring region in the flange region, setting measuring points, and collecting strain data before and after bolt loosening in real time. And calculating a strain response root-mean-square ratio before and after each measuring point is loosened based on the strain data so as to obtain a root-mean-square difference ratio of the measuring points. The area damage index of the monitoring area is comprehensively obtained through the root-mean-square difference ratio of the measuring points, and finally quantitative diagnosis of the flange bolt loosening failure damage is achieved according to the index. The method can effectively identify the bolt loosening state, and provides technical support for safe operation of a wind turbine generator.

The invention discloses a landslide shear outlet slip zone in-situ shear rheometer and a test method thereof.The landslide shear outlet slip zone in-situ shear rheometer comprises a transparent shear box, a load applying assembly, a monitoring assembly and a control terminal, and the transparent shear box comprises an upper box body and a lower box body; the load applying assembly comprises a vertical loading unit, a vertical counter-force unit, a plurality of adjustable supporting frames, a horizontal loading unit and a horizontal counter-force unit, the vertical loading unit applies a vertical load to the transparent shear box, and the vertical counter-force unit is arranged on the adjustable supporting frames and applies resistance of the vertical load to the transparent shear box; the height and the inclination angle of the adjustable support frame are adjustable, the horizontal loading unit applies a horizontal load to the upper box body, and the horizontal counter-force unit applies a horizontal counter-force to the lower box body; the monitoring assembly comprises a first displacement sensor, a second displacement sensor, a plurality of bending element probes and a camera; the control terminal is electrically connected with the load applying assembly and the monitoring assembly; and the evolutionary process of the macroscopic stress-strain response and the microstructure in the slip band shearing process can be obtained.

This invention discloses a corrosion prediction method based on the inverse finite element method and machine learning, belonging to the field of online assessment technology for marine engineering structures. The method includes: constructing a baseline state prediction model based on uncorroded strain response data; constructing a corrosion depth prediction model based on corrosion strain response data using the inverse finite element method and machine learning; real-time acquisition of the current measured strain data of the structure under the current corrosion state, and reconstructing the full-field corrosion strain field of the structure using the inverse finite element method; based on the baseline state prediction model and the full-field corrosion strain field, reconstructing the uncorroded full-field strain field of the structure using the inverse finite element method based on the current measured strain data, calculating damage parameters, and identifying corrosion regions; extracting damage parameters within the corrosion regions, inputting them into the corrosion depth prediction model, and outputting a quantitative predicted corrosion depth value for the corrosion regions. This invention achieves online automatic identification, precise location, and quantitative prediction of structural corrosion damage.

This invention relates to the field of engineering life prediction technology, and particularly to a method and equipment for determining fatigue damage in corrugated steel web composite box girders. The invention acquires strain at local locations on the corrugated steel web using strain gauges, constructs strain response curves, determines the strain-transmitted damage characterization vector by comparing the vector directions of the crack propagation tendency characterization vector, and obtains several load output explicit cycle numbers by comparing and analyzing the strain response curves corresponding to local webs with each explicit tendency with a strain response reference curve. Finally, the maximum load-bearing cycle number of the test beam is determined and recorded. This invention implements the above steps by setting up a test bench, measurement module, feature analysis module, feature extraction module, and recording module. Furthermore, it achieves the correlation between the multi-directional geometric features of the corrugated steel web and the strain response differences in different damaged areas, accurately determining the maximum load-bearing cycle number and improving the accuracy of fatigue damage assessment.

The application discloses a gear shot residual stress prediction method and system coupling plasticity and friction heat generation, equipment and medium, the method obtains the elastic tangential displacement corresponding to the elastic deformation stage of the single particle shot on the target gear tooth surface, the plastic tangential displacement corresponding to the plastic deformation stage, the stress-strain response curve generated in the process of the single particle shot impacting the target gear tooth surface, and the mass of the impact affected area of the target gear tooth surface based on the first model; according to the elastic tangential displacement, the plastic tangential displacement and the stress-strain response curve, the total heat in the process of the single particle shot impacting the target gear tooth surface is calculated; the gear tooth temperature field is calculated according to the total heat and the mass of the impact affected area of the target gear tooth surface; the gear tooth temperature field is coupled to the second model to calculate the residual stress of the target gear tooth surface according to the simulation result of the second model, the prediction accuracy of the gear shot residual stress can be improved by calculating and coupling the gear tooth temperature field.

The present invention discloses a method for constructing a mechanical constitutive model for two-dimensional woven composite materials, belonging to the field of mechanical property characterization and analysis of two-dimensional woven composite materials. The method is divided into two parts: geometric nonlinearity caused by fiber redirection and material nonlinearity caused by plastic behavior. The establishment of the method includes the following processes: step 1, determining the initial material constants of the orthotropic constitutive model; step 2, analyzing the transformation of material properties with applied deformation to determine the geometric nonlinear parameters; step 3, establishing a plastic constitutive model and determining the material nonlinear parameters. The method of the present invention can ensure that the two-dimensional woven composite material still has orthotropic anisotropy under finite deformation, and can accurately and reliably predict the stress-strain response of the two-dimensional woven composite material after fiber redirection under finite deformation, providing a reliable constitutive model for the characterization and analysis of the mechanical properties of two-dimensional woven composite materials.