119 results about "Rigidity matrix" patented technology

The invention relates to an existing building glass curtain wall operation and maintenance method and system based on a digital base. The method comprises the following steps that curtain wall vibration response data, visible light image data and three-dimensional point cloud data are obtained; based on the curtain wall vibration response data, comparing the current modal parameter with the historical modal parameter, and determining the dynamic characteristics of the curtain wall panel; identifying the curtain wall apparent damage type and the corresponding damage degree based on the visible light image data; based on the three-dimensional point cloud data, a curtain wall live-action three-dimensional point cloud model is constructed and mapped into a numerical model, a local stiffness reduction coefficient is calculated based on curtain wall panel dynamic characteristics, curtain wall apparent damage types and corresponding damage degrees, and a local stiffness matrix of a corresponding unit or node in the numerical model is corrected; and performing finite element analysis on the corrected numerical model to realize performance evaluation and deduction of the glass curtain wall. Compared with the prior art, the method has the advantages that the performance change of the glass curtain wall can be accurately and dynamically sensed and predicted, and the like.

The invention discloses a hydrodynamic analysis method for a floating structure with multi-body and multi-coupling characteristics, which comprises the following steps of: acquiring geometric characteristics of each floating body, and dividing boundary element computational grids; wave excitation force, additional mass and radiation damping of each floating body are calculated, and a mass matrix and a rigidity matrix of each floating body are obtained; determining a connection mode and a coupling factor of the floating body; according to a connection mode and coupling characteristics of the system, establishing displacement connection conditions among the floating bodies; constructing a motion constraint matrix according to the displacement continuity condition and the motion constraint relation; determining a frequency domain motion equation of the multi-floating-body system according to a Lagrange multiplier method; and solving the motion equation to obtain the motion response of the multi-floating-body system, and further systematically analyzing the wave energy capture power according to the coupling characteristics of the system. According to the analysis method, the problem that the motion response of each degree of freedom cannot be accurately described when the hydrodynamic response characteristics of the complex multi-body system are obtained through an existing simulation method is solved.

The invention discloses an intelligent compensation method and system for a welding track of a wind-resistant structure of a steel box girder, and the method comprises the steps: obtaining the welding track in real time, and extracting the welding information of the welding track, the welding information comprises the windward area and the wind speed of the steel box girder, the rigidity matrix of the steel box girder, and the temperature gradient, the wind load and the welding stress of each position on the welding track; a welding track compensation model is set, the total compensation amount of the welding track is calculated in real time according to the welding information, and the difference value of the total compensation amount of the ideal track and the total compensation amount of the welding track is calculated to serve as the final track deviation; and welding parameters are adjusted until the final track deviation does not exceed a preset deviation threshold value, and therefore welding track compensation is completed.

The present application discloses a method and device for modeling and topological optimization design of a reinforced flat plate with an embedded acoustic black hole. The method includes: dividing the design domain into units based on design variables to construct a collaborative optimization model; dividing the reinforced area with solid units and the flat plate area with variable thickness shell units to simulate acoustic black holes; coupling the variable thickness shell units with the solid units and determining the stiffness matrix; introducing maximum size constraints and / or geometric non-interference constraints and / or geometric-topological non-interference constraints and / or draft constraints in the design process; solving the sensitivity of the design variables based on the optimization target combined with the stiffness matrix to obtain the optimization result; if the optimization result does not meet the convergence condition, redefine the design variables based on the sensitivity. It solves the problem that the existing vibration reduction means are difficult to efficiently realize the lightweight vibration reduction design of thin-walled structures. It takes into account the structural stiffness and the vibration and noise reduction characteristics of the medium and high frequencies, realizes the structure-function integrated design, and reduces the dynamic response of the thin-walled structure.

The invention relates to a method for simulating the operation impact load of a wind generating set. The method comprises the steps that aerodynamic load distribution data, elastic structure geometric material parameters, control logic dynamic parameters and environment parameters of the wind generating set are acquired, and initial multi-physical coupling model data are obtained; generating an initial impact load time sequence based on the initial multi-physical coupling model data; according to the initial impact load time sequence, the elastic modulus and the stiffness matrix of the composite material structure of the wind generating set are dynamically adjusted, and updated composite material structure parameters are generated; obtaining a smooth impact spectrum based on the updated composite material structure parameters and the initial impact load time sequence; and according to the smooth impact spectrum, generating impact load simulation data. By adopting the method, potential problems and risks can be found in advance, the design and operation strategy of the wind generating set is optimized, the reliability and economical efficiency of the wind generating set are improved, and the maintenance cost and downtime are reduced.

The invention discloses a self-adaptive clamp adjusting method based on intelligent vision and pneumatic control. The self-adaptive clamp adjusting method is suitable for a multi-variety small-batch flexible manufacturing scene. According to the method, a closed-loop control framework composed of multi-mode sensing, hybrid modeling, dynamic optimization and pneumatic execution is constructed, and precise sensing and rapid compensation of part deformation under the complex working condition are achieved. Submillimeter deformation data is obtained in real time by fusing binocular vision, optical fiber strain and a laser displacement sensor; dynamically outputting a clamp compensation instruction in combination with the finite element stiffness matrix and an XGBoost prediction model; a PSO-Adapt ivePena lty algorithm is introduced to carry out multi-objective optimization, so that the response speed and the cooperation efficiency of the system are improved; and the pneumatic actuating mechanism adopts a double-acting cylinder and a cam-groove mechanism, so that high-precision adjustment is realized. The method has the advantages of high precision, fast response and strong multi-clamp collaboration, and is suitable for the intelligent manufacturing fields of automobiles, aerospace and the like.

The invention discloses a thin-wall structure topological optimization design method, device and system, and a storage medium. The method comprises the following steps: calculating any unit density in a design domain according to a structure topological optimization model; calculating a displacement vector according to the density of any unit in the design domain, the total stiffness matrix and the external load vector; calculating the structural flexibility according to the element stiffness matrix and the displacement vector; according to the unit density and the structural flexibility, obtaining the sensitivity of the target function and the constraint function to design variables; establishing a topological optimization model by taking the minimum structural flexibility as a target function, taking the welding spot area as a constraint condition and taking a design variable as a normalized height; and according to the sensitivity of the target function and the constraint function to the design variables and the topological optimization model, performing updating iteration on the design variables by utilizing an MMA algorithm to obtain an optimized structure. By the adoption of the technical scheme, on the premise that the technological constraint of the superplastic forming technology is met, the structure with the excellent mechanical property is obtained.

The invention discloses a welding thermal stress simulation method, device, equipment and medium based on a crystal plasticity finite element, and relates to the technical field of welding thermal stress finite element simulation. The method comprises the steps that a sample is prepared according to a specific multi-phase metal material, and phase distribution and crystal orientation information of a two-dimensional plane of the material are obtained through a metallographic experiment; and a three-dimensional multi-grain model is constructed based on the two-dimensional information. According to the method, a crystal plastic constitutive model is adopted to describe the flowing behavior of the material at high temperature, crystal slippage and polycrystal interaction are considered, the influence on the material performance is reflected from the microstructure evolution level, and the problem that the influence on the macroscopic mechanical performance of a microstructure is difficult to capture in welding multiphase metal material simulation is solved; two-dimensional representation is obtained through a metallographic experiment, the Young modulus and rigidity matrix parameters are accurately calculated by combining forward stretching and shear simulation, the rigidity matrix precision is improved, a temperature field area is divided, stress evolution and residual stress are calculated by combining a thermal-elastic-plastic model, and the welding thermal stress calculation precision is improved.

The invention discloses a numerical control machine tool synchronous evolution control method and system associated with dynamic and static errors, relates to the technical field of information processing management, and is used for solving the problem that a machine tool structure optimization method is poor in structural integrity, structural connectivity and dynamic response characteristic analysis. By monitoring and analyzing geometric structure parameter changes of all parts in the machine tool operation process, effective geometric structure parameters with the high influence degree are screened out, preliminary optimization is carried out, a geometric structure optimization evaluation model is established, and an optimization result is evaluated; the method comprises the following steps of: acquiring local rigidity and weight, establishing an optimization evaluation model, defining geometric structure parameters of a plurality of components as an integral assembly structure, constructing a parallel optimization model by utilizing a grid division and rigidity matrix calculation method, and finally obtaining optimization results of a macroscopic unit and a connecting unit by taking minimization of structural flexibility as a target. Key parameters can be accurately monitored and optimized, the structural connectivity is considered, and the overall performance and stability are improved.

The invention discloses a cross-domain coupling control method for an air suspension and an active stabilizer bar. The cross-domain coupling control method comprises the steps that a signal input layer collects and fuses data and transmits the data to a decision-making layer; the decision-making layer forms a control instruction based on a model predictive control algorithm, and comprises the steps of constructing an automobile three-degree-of-freedom coupling dynamic model, and iteratively solving a cost function minimum value in a rolling time domain to obtain the control instruction; the three-degree-of-freedom coupling dynamic model quantifies multi-dimensional motion association through a stiffness matrix off-diagonal term, can accurately predict the cross influence of air pressure adjustment of the air suspension on the roll motion, and provides a nonlinear prediction basis for model prediction control. According to the invention, by cooperating with the multi-dimensional dynamic signal and the dynamic arbitration control logic, the complex composite working condition is adapted, and the cooperative optimization of the vertical comfort, the roll stability and the pitching dynamic characteristic of the vehicle is realized.

The invention relates to the technical field of structure optimization, in particular to a topological optimization method and device for a GPU acceleration fiber reinforced composite material structure, and the method comprises the steps: obtaining parameters such as material attribute parameters and design domain size; 21 basic stiffness matrixes are calculated; respectively filtering the density variables and the angle variables; a geometric multi-grid preprocessing conjugate gradient method iteration solver is adopted to calculate the current displacement of each node of the densest grid level; and calculating an objective function according to the current design variable and the node displacement, performing sensitivity analysis on the objective function and the constraint condition to update the density and angle variables, judging whether a topological optimization iteration convergence condition is met or not, and outputting an optimization result if the topological optimization iteration convergence condition is met. Therefore, the problems that the stiffness matrix of each element in the topological optimization problem of the large-scale fiber reinforced composite material structure cannot be stored due to the limited memory of the global memory of the GPU, and the calculation efficiency of the stiffness matrix of the dynamic calculation element in the finite element solving process is low are solved.

The invention discloses a viscoelastic boundary verification method, device and equipment based on isoparametric elements and a medium, and the method comprises the steps: building a three-dimensional geometric model of a target structure according to geometric dimensions and material attributes, discretizing the three-dimensional geometric model into initial three-dimensional subunits, and then building an initial finite element mesh model; after identifying a target boundary surface to be applied with an artificial viscoelastic boundary, assigning boundary parameters to obtain each three-dimensional subunit and form a finite element model; all the three-dimensional subunits are mapped to a standard unit through equal-parameter coordinate transformation, an equivalent stiffness coefficient matrix and an equivalent damping coefficient matrix are obtained through calculation and then stacked and assembled, and an overall stiffness matrix and an overall damping matrix are formed; and calculating displacement response data based on the overall stiffness matrix and the overall damping matrix. According to the embodiment of the invention, by introducing the isoparametric coordinate transformation, the irregular boundary form can be directly processed without introducing an additional boundary unit, and the calculation requirement of an actual complex engineering model is met.

The invention provides a thermal elastic structure joint topological optimization method based on MATLAB and ABAQUS, and belongs to the technical field of thermal elastic structure optimization design. Firstly, finite element models of mechanical loads and thermal loads are established in ABAQUS, and files are exported; then calling an ABAQUS operation model in MATLAB, extracting core data such as nodes, units and a stiffness matrix, and constructing a parameterized thermodynamic finite element model based on an SIMP method; calculating a function value and sensitivity by taking volume minimization as a target and taking global stress and temperature constraint as conditions; and finally, iteratively optimizing the design variables by adopting a moving asymptote algorithm, and obtaining a final topological configuration through a filtering method. Through deep cooperation of MATLAB and ABAQUS, core finite element data of commercial software is extracted at a time for optimization iteration, repeated data generation and interaction are avoided, the calculation efficiency is greatly improved, and an efficient solution is provided for processing the topological optimization problem of stress and temperature constraints under complex heat-force loads.

The invention belongs to the field of machining, and discloses a modeling calculation method and system for dynamic rigidity of a cutter handle-main shaft combination part, and the method comprises the following steps: S1, modeling a geometric structure and dynamic displacement of the combination part; s2, performing multi-scale modeling on the contact surface morphology and solving the normal spacing variation of the joint part; s3, joint surface micro-convex body contact characteristic modeling is carried out; s4, modeling the non-linear stiffness of the infinitesimal junction surface; and S5, constructing an integral dynamic stiffness matrix of the joint part. According to the modeling calculation method for the dynamic stiffness of the cutter handle-main shaft combination part, high-precision modeling of the dynamic characteristics of the cutter handle-main shaft combination part is achieved through a step Timoshenko straight beam model and a distributed nonlinear spring layer in combination with a slicing method and a fractal contact theory. The method is suitable for high-precision nonlinear dynamic modeling of a numerical control machine tool, a machining center and the like, and vibration, deformation and stability problems in the machining process can be effectively predicted.

The invention relates to the technical field of nuclear reactor fuel element analysis, in particular to an irradiated zirconium alloy plasticity limit prediction method based on a crystal plasticity finite element, which comprises the following steps: establishing a three-dimensional polycrystalline representative body cell model conforming to the actual grain size of zirconium alloy; based on a crystal plasticity theoretical model, zirconium alloy material parameters are obtained through calculation; boundary conditions and load conditions are determined, finite element calculation is executed in combination with material parameters, and an element stiffness matrix of each increment step is output; assembling the unit stiffness matrix, and obtaining a macroscopic stress-strain matrix of the three-dimensional polycrystal cell model through a homogenization method; and substituting the macroscopic stress-strain matrix into the Rice theoretical criterion, traversing the macroscopic stress-strain matrix of each increment step, and determining the plastic strain meeting the judgment critical condition. According to the method, accurate finite element plastic limit analysis can be carried out on the irradiation material, and the plastic limit strain of the zirconium alloy under the irradiation condition can be accurately judged.

The invention discloses a multi-scale structural stiffness optimization design method based on neural network re-parameterization, which comprises the following steps: microstructure parameterization modeling: carrying out parameterization modeling on a microstructure by adopting a level set method, and controlling the volume fraction and geometric configuration of the microstructure by adjusting a cutting height parameter; proxy model construction: establishing a mapping relation between cutting height parameters and microstructure equivalent mechanical properties by using a neural network to form a high-precision proxy model; neural network re-parameterization design: constructing a neural network optimizer, taking coordinates of each discrete unit in a design domain as input, and outputting corresponding cutting height parameters; neural network parameters are updated through automatic differentiation and back propagation, and continuous optimization of design variables is achieved; and a multi-scale topological optimization process: calculating a global stiffness matrix and structural flexibility in combination with an agent model and finite element analysis, and obtaining an optimal multi-scale structural topology meeting volume constraints through loss function minimization iterative optimization.

The invention discloses a wing structure multi-level modeling method, device, equipment and medium, and relates to the field of structure modeling simulation and wing structure analysis, and the method comprises the steps: decomposing a target wing into a 0-level simplified beam model, a 1-level unit cell model and a 2-level sub-model; performing order reduction analysis on the 1-level unit cell model, constructing an equivalent section attribute matrix, and establishing a wing simplified model matched with the beam element finite element stiffness matrix; building a sub-model simulation database based on multi-working-condition simulation, applying a generalized load and a typical external load, and obtaining displacement field data under each working condition; according to the displacement field data, extracting a displacement field boundary condition and a POD coefficient of the stress field data, and constructing a data driving sub-model; and performing multi-level model analysis on the target wing according to the wing simplified model and the data driving sub-model. The mechanical property and response of the wing structure under different working conditions can be efficiently and accurately simulated and analyzed.

The invention discloses a circumferential contour prediction method based on cutting force and deformation field space-time correlation, and relates to the field of aerospace, and the method comprises the following steps: 1, carrying out the spatial discretization of a circumferential contour region of a target workpiece; step 2, establishing a lightweight structure stiffness matrix; 3, constructing an elastic mechanism model and solving delta-F mapping; 4, introducing the time sequence correlation of the cutting load into the elastic mechanism model; step 5, constructing a Boolean relationship between the tool path and the workpiece envelope; step 6, fusing actual measurement process signals, and performing state correction; step 7, iterating the elastic model again by using the corrected load; and step 8, reconstructing full-field deformation based on spatial correlation. According to the method, online prediction of the station-level circumferential deformation field is achieved, the method can be used in the multi-procedure machining process, deformation in-situ compensation of the procedure is achieved, a clamping positioning strategy of the next procedure is output, and the manufacturing quality and the production efficiency are improved.

The invention relates to the technical field of structure optimization, in particular to a topological optimization method and device for a large-scale fiber reinforced composite material structure, and the method comprises the steps: obtaining material attribute parameters and the like; calculating a unit stiffness matrix corresponding to each group of sampling angles according to a preset sampling interval and attribute parameters of a preset fiber reinforced composite material, calculating a template stiffness matrix of each grid level, and calculating the current displacement of each node of the densest grid level by adopting a geometric multi-grid preprocessing conjugate gradient method; and calculating a target function according to the current design variable and the current displacement of each node of the densest grid level, so as to update the design variable until a preset number of iterations is reached, and outputting a new optimization design. Therefore, the problems that due to the fact that the memory of a GPU global memory is limited, the element stiffness matrix cannot be stored in the topological optimization problem of the large-scale fiber reinforced composite material structure, and the calculation efficiency of the dynamic calculation element stiffness matrix in the finite element solving process is low are solved.

The present invention belongs to the field of composite material mechanics technology and provides a method and system for predicting the hole extrusion strength of ceramic-matrix composite parts. The method comprises: meshing a finite element geometric model of the ceramic-matrix composite part to be tested; obtaining the stress field of each mesh element through finite element simulation; based on the stress field, using the three-dimensional Hashin criterion or the MMF3 criterion to determine the type of mesh element damage and perform stiffness degradation to obtain a stiffness matrix; using the stiffness matrix and the applied displacement load to obtain the current force load, and then obtaining the hole extrusion strength based on the current force load and the hole contact area. The method of the present invention can accurately predict the hole extrusion strength of a part, laying the foundation for mechanical connection performance analysis of composite materials and high-fidelity simulation calculations of composite structures.

The application discloses a kind of deformation stress increment acquisition method and system of extremely thin layered soft surrounding rock;It is related to the technical field of tunnel engineering;The strain increment matrix of extremely thin layered soft surrounding rock under overall coordinate system is obtained, and under the elastic assumption theory, the stress tensor matrix of extremely thin layered soft surrounding rock under overall coordinate system is calculated by combining rotation matrix and element stiffness matrix, and the deformation stress increment is calculated according to the stress tensor matrix after characteristic correction;The method is improved on the basis of traditional extremely thin layered surrounding rock mechanics characteristic simulation technology, and under the elastic assumption theory, the stress increment matrix of extremely thin layered soft surrounding rock under overall coordinate system is calculated based on strain increment matrix, rotation matrix and element stiffness matrix;The deformation stress increment is calculated after the characteristic correction of stress increment matrix, and the stress deformation characteristics of extremely thin layered soft surrounding rock are accurately and reasonably described, and the efficiency of extremely thin layered soft surrounding rock engineering analysis is improved.

The present invention provides an imaging method for the singular mode vibration mode of FBAR based on the semi - analytical finite element theory, including the following steps: Step S1, constructing a semi - analytical finite element formulation of a FBAR with a complex electrode configuration; Step S2, using triangular elements to mesh the upper surface of the FBAR to obtain the coordinates of three nodes in each mesh element; Step S3, determining the interpolation shape function, stiffness matrix and mass matrix of each mesh element according to the node coordinates; Based on the semi - analytical finite element theory, the present invention characterizes the vibration mode of a three - dimensional FBAR at ultra - high frequencies, reduces the three - dimensional modal vibration imaging of a three - dimensional FBAR device to two - dimensional planar imaging. The simplification of the element type and the substantial reduction in the number of elements make the imaging technology provided by the present invention have a lower time cost. At the same time, it does not require various parameter settings and post - processing in commercial finite element software, realizing fast and quantitative imaging of the FBAR vibration mode.

The present invention relates to a digital base-based operation and maintenance method and system for existing building glass curtain walls. The method comprises the following steps: obtaining curtain wall vibration response data, visible light image data, and three-dimensional point cloud data; comparing current modal parameters with historical modal parameters based on the curtain wall vibration response data to determine the dynamic characteristics of the curtain wall panels; identifying the type of apparent damage to the curtain wall and the corresponding degree of damage based on the visible light image data; constructing a real-life three-dimensional point cloud model of the curtain wall based on the three-dimensional point cloud data and mapping it into a numerical model; calculating local stiffness reduction coefficients based on the dynamic characteristics of the curtain wall panels and the type of apparent damage to the curtain wall and the corresponding degree of damage, and correcting the local stiffness matrix of the corresponding units or nodes in the numerical model; and performing finite element analysis on the corrected numerical model to evaluate and deduce the performance of the glass curtain wall. Compared with existing technologies, the present invention has the advantages of being able to accurately and dynamically perceive and predict changes in glass curtain wall performance.

The invention provides a temperature-stress-based welding finite element rapid stiffness matrix assembly solving method, and relates to the technical field of welding process finite element simulation, and the method optimizes a stiffness matrix updating strategy through double variables of temperature and stress based on local heat input characteristics of a welding process. In the elastic area, the calculation strategy is flexibly adjusted according to the temperature change amplitude, and in the plastic area, iterative correction is carried out aiming at the nonlinear behavior of the material. By intelligently identifying the key area and avoiding unnecessary global updating, the algorithm greatly reduces the calculation amount and significantly improves the simulation speed. Besides, in combination with a sequential solution method of thermal-mechanical coupling, the algorithm can provide rapid and accurate stress solution for a complex welding process on the premise of ensuring precision, and is particularly suitable for efficient simulation analysis of large weldments. The problem that in the welding process of large weldments, the rigidity matrix assembling efficiency is low is solved.

The invention relates to the technical field of noise prediction, in particular to a vibration noise correction method and device based on a structural rigid body mode. The method comprises the following steps: constructing a primary function of elastic displacement to form a first vibration mode matrix, and introducing a rigid body mode into the first vibration mode matrix to form a second vibration mode matrix; and obtaining a structural modal mass matrix, a modal stiffness matrix and a modal force by using the second vibration mode matrix, and deducing a modal participation coefficient and a modal frequency. Performing a simulation test in combination with the deduced modal parameter coefficient and the complete vibration mode matrix to obtain vibration responses of the structure under different frequencies, and predicting the structure according to the vibration responses to obtain simulation data; and dynamically correcting the modal matrix according to the difference between the actual test data and the simulation data of the structure. By introducing the degree of freedom of rigid body motion, the displacement function of the structure can more accurately describe the actual behavior of the structure, so that a more accurate basis is provided for simulating the actual vibration behavior.

The invention relates to an engineering algorithm for predicting post-buckling load of a composite stiffened wallboard, and belongs to the field of composite engineering algorithm calculation. The method comprises the steps of constructing a stiffness matrix of the composite laminated plate, providing a skin local buckling correction engineering algorithm of the composite stiffened wall plate, and providing a post-buckling calculation method of the composite stiffened wall plate based on a skin correction buckling load, and specifically, through constructing the stiffness matrix of the composite laminated plate and through the corrected engineering algorithm, the post-buckling calculation method of the composite stiffened wall plate based on the skin correction buckling load is provided. According to the method, accurate prediction of the post-buckling load performance of the composite material stiffened wall plate is realized, rapid and accurate prediction of the composite material stiffened wall plate under a complex configuration can be realized, and the deficiency of the post-buckling load performance of the traditional stiffened wall plate in prediction accuracy can be made up; and theoretical support is provided for design optimization and engineering application of the composite stiffened wall plate.

The invention provides a stretchable transparent electrode design method and device, equipment and a storage medium. Relates to the technical field of structural design. The method comprises the following steps: determining a to-be-designed structure and dividing grids, defining a design domain of topological optimization, and taking unit density in the design domain as a design variable; calculating an element stiffness matrix, and establishing a total stiffness matrix according to the element stiffness matrix; adding boundary conditions according to actual working conditions, and determining a stretchability function; determining a conductivity function; establishing an objective function according to the stretchability function and the conductivity function, and constructing a topological optimization model according to the objective function; calculating the sensitivity of the target function; and based on the sensitivity and the topological optimization model, iteratively updating the design variables to complete the optimization design of the to-be-designed structure. The invention aims to balance the transparency, the stretchability and the conductivity of the electrode, and designs the electrode structure, so that the electrode structure can optimize the conductivity and the stretchability while meeting the transparency requirement.

The invention belongs to the field of mechanical simulation analysis of composite material structural parts, and particularly discloses an equivalent mechanical modeling method of a variable-thickness composite material component, which comprises the following steps: acquiring a laying deformation measure, and determining deformation distribution of fiber cloth by using the laying deformation measure through a fishing net method; mapping the deformation distribution of the fiber cloth to a target structure grid by using a grid mapping method; constructing a numerical model of equivalent mechanical characteristics of the target structure grid by using a multilayer structure equivalent calculation formula; the equivalent mechanical characteristics comprise equivalent density, an equivalent stiffness matrix and an equivalent damping matrix; and determining a numerical value implementation program of the numerical value model, and performing equivalent mechanical analysis simulation on the variable-thickness composite material component by the numerical value model through the numerical value implementation program by adopting a finite element method. According to the method, the modeling accuracy of the variable-thickness composite material component is improved.

The invention discloses a coaxial electric drive axle gear microscopic modification analysis method based on MASTA and Abaqus, and belongs to the technical field of electric vehicle transmission. The method comprises the following steps: firstly, building an electric drive axle transmission model in the MASTA; secondly, creating power substructure models of key components such as a differential case, a bull gear spoke and an axle housing in Abaqus, and importing the power substructure models into MASTA to construct a high-precision flexible system model; then, a gear finite element model is generated in the MASTA, and a condensation stiffness matrix of the gear finite element model is calculated; thirdly, calculating initial gear dislocation quantity under different working conditions by utilizing advanced loading tooth surface analysis; and finally, performing targeted tooth direction and tooth shape microcosmic modification on the gear according to the dislocation quantity, and verifying whether the transmission error and the tooth surface pressure of the gear meet the design standard or not. Through deep fusion of MASTA and Abaqus, balance of precision and efficiency in system-level simulation is realized, a scientific basis is provided for gear modification, and NVH performance and reliability of the electric drive axle are remarkably improved.

The invention discloses a high-formwork multi-parameter real-time automatic monitoring system and an application method, and relates to the technical field of monitoring analysis, and the high-formwork multi-parameter real-time automatic monitoring system comprises a data stream receiving unit, a stiffness matrix determination unit, a function construction unit, a model calibration unit, a full field set setting unit, an abnormal region determination unit, a root cause analysis unit and an intervention measure output unit. Through multi-source data fusion and physical intelligence, technical optimization of high-formwork safety monitoring from passive alarm to active prevention and control is achieved, multi-source heterogeneous data such as sensors, construction and environments are aligned through precise space-time synchronization, a unified data stream is formed, meanwhile, sparse actual measurement data are utilized, and the safety of the high-formwork is improved. According to the method, parameters of a finite element digital twinborn model are dynamically calibrated, a high-fidelity model synchronous with a real structural mechanical state is generated, forward simulation is performed on the basis of the model, a complete stress field and a force flow path of an area without a sensor are perspective, and jump from point monitoring to field cognition is realized.