62 results about "Finite element analyse" patented technology

The invention discloses an optimization design method of a large-model-driven mechanical part, which comprises the following steps of: performing knowledge retrieval according to a design task and a constraint condition, and generating text description of a structure design scheme by fusing the retrieved knowledge through a large-scale language model (LLM); the LLM performs task decomposition and modeling code mapping on the structure design scheme described by the text, and generated modeling codes are directly executed by modeling software to generate a three-dimensional model; the LLM generates a reasoning track and calls a finite element analysis tool set to perform performance analysis on the generated three-dimensional model; and according to optimization requirements and design constraints, the LLM optimizes the three-dimensional model to generate an optimal three-dimensional model. The invention discloses an optimization design system of a large model driven mechanical part. The optimization design system comprises a design scheme generation module, a parametric modeling module, a design scheme verification module and a structure parameter optimization module. The method and the system provided by the invention can save code quantity, reduce manual intervention and improve design efficiency.

The invention provides a finite element analysis method for a competition-level site cross-country motorcycle frame, and belongs to the technical field of crossing of computer-aided engineering and vehicle structure design. The method comprises the following steps: performing parametric modeling on a frame main bearing structure based on CATIA software, and simplifying non-functional characteristics; importing the model into ANSYS Workbench, generating a high-precision finite element model by adopting a grid division strategy of mixing tetrahedron and hexahedron units, and considering the calculation efficiency and precision; defining material characteristics; a limit load working condition is simulated through statics analysis, a displacement cloud picture and a stress cloud picture are combined to be compared with the yield strength of a material, and topological optimization is conducted on a weak area; meanwhile, the inherent frequency of the frame is extracted through modal analysis, and the resonance risk is avoided. According to the method, statics analysis and modal analysis are carried out on the frame through cross-platform co-simulation, the structural reliability is evaluated, and the method is suitable for efficient development and performance optimization of competition-level cross-country motorcycle frames.

The invention belongs to the technical field of intelligent manufacturing and digital twinning, and discloses a machine tool spindle angular contact ball bearing stress field digital twinning modeling method based on a graph neural network, and the method comprises the steps: firstly building a finite element analysis model, and generating a multi-working-condition stress sample set; secondly, a mixed graph structure is constructed based on the grid topology and the surface k neighbor relation, and node geometric features and region labels are generated; then stress field shape-amplitude decoupling is implemented, and a stress field is decomposed into a normalized shape field and an amplitude scalar; constructing and training a dual-branch architecture shape prediction map neural network model and an amplitude regression model again, wherein a key area mask and a continuous weight are introduced into the shape model to enhance the prediction precision of the contact area; and finally, quickly predicting an amplitude and a shape field by using the model, and reconstructing full-field stress distribution. According to the method, the prediction efficiency and the prediction accuracy of a high-stress area are remarkably improved while finite element-level geometric accuracy is kept, and the method is suitable for rapid evaluation and digital twinning application of the machine tool spindle bearing.

The application discloses an Abaqus parameterized modeling and analysis method for a corrugated steel web combined channel girder based on Excel, and comprises the following steps: (1) a user determines the TGCW size, material and finite element analysis type required by the user according to project data; (2) a program running environment is configured, a third-party library function xlrd2 is installed, and the parameter information obtained in the step (1) is filled into an Excel input table of the corrugated steel web combined channel girder finite element analysis parameters; (3) TGCW parameter information in an Excel file is read through a Python script file; (4) TGCW related model information is defined through the Python script; (5) the Python script is run on an Abaqus platform, a TGCW finite element model is generated, and simulation analysis corresponding to the input parameters is carried out. The application can complete the modeling work of a complex model without relying on third-party modeling software, can realize an automatic modeling process, and is convenient for realizing parameterized analysis on the corrugated steel web combined channel girder.

The invention discloses an improved DMO topological optimization method obeying different material yield criteria and analysis equipment, and belongs to the technical field of engineering structure optimizing.The method comprises the steps that a topological optimization mathematical model is established with the minimum flexibility as an objective function and stress constraints and cost constraints of different yield criteria as constraint functions; the interpolation of the DMO method based on the elastic tensor is rewritten into a unit superposition method to carry out unit discretization rigidity interpolation, and a plurality of stress values of each unit of each material can be calculated by using a separable stress interpolation scheme based on the unit superposition method; finite element analysis and stress calculation are carried out on the structure, von-Mises and Ducker-Prager yield criteria are given to steel and concrete materials respectively, and an MMA algorithm is used for iteratively calculating a result to obtain an approximate optimal solution; and circularly iteratively updating the unit density and the solving steps until the new topological optimization structure reaches a preset convergence condition. According to the method, topological optimization of the steel-concrete composite structure is more accurately carried out, and the obtained topological optimization result has manufacturability.

The invention belongs to the field of artificial intelligence and industrial finite element analysis software, and particularly relates to an LLM agent-based Abaqus finite element modeling code generation method and device. According to the method, high-precision and high-reliability finite element analysis script generation is realized through construction of an instruction-code pair database, semantic retrieval and instruction reasoning, code generation and verification and lightweight model deployment. Comprising the following steps: constructing an instruction-code pair database; performing semantic retrieval and instruction reasoning; code generation and verification; and lightweight model deployment. By using the method, the accuracy and the reliability of finite element analysis script generation can be effectively improved, and the threshold and the cost of an engineering simulation task are remarkably reduced. The industrial finite element analysis software script generation method based on the large model agent can be widely applied to finite element analysis tasks in the fields of aerospace, machine manufacturing and the like.

The invention belongs to the technical field of biomass boilers, and particularly relates to a water circulation design method for a pipeline support boiler, which comprises the following steps of: firstly, constructing a 3D geometric model of the biomass boiler, simplifying to obtain a simplified model, then defining material attributes and fluid attributes of the simplified model, performing stress simulation analysis by utilizing simulation software, and finally, calculating the water circulation of the pipeline support boiler. Obtaining a constraint lower limit of each pipeline size parameter in the simplified model meeting the structural mechanical property requirement, then forming an adjustment scheme by upwards adjusting each pipeline size parameter based on the constraint lower limit, and substituting the obtained adjustment scheme into the simplified model to obtain the structural mechanical property requirement. And after setting boundary conditions, carrying out finite element analysis by utilizing finite element analysis software to obtain a medium flow analysis result, and finally screening out an adjustment scheme with the most appropriate circulation ratio based on the medium flow analysis result. According to the biomass boiler, the circulation ratio of the biomass boiler can be effectively increased on the premise that the stress stability is guaranteed.

This invention relates to the field of finite element analysis technology, and provides a method for designing and constructing cast-in-place piles using a single-sided open-closed temporary casing based on finite element analysis. The method includes importing constitutive parameters of soft rheological silt into computer-aided engineering nonlinear finite element software to establish a spatial mesh model of the single-sided open-closed temporary casing with upper and lower reinforcing cylinder ends and a central standard cylinder; applying high-order friction penalty function contact constraints to the sliding pin, tension rod flange, and positive and negative labyrinth joints; sequentially loading three dynamic simulation conditions: pressing, holding, and large deformation during pull-out; outputting a solid manufacturing data table based on the simulation results of the three dynamic simulation conditions; constructing a closed-loop mud circulation system to maintain head balance; and achieving low-damage pull-out and demolding. This invention combines simulation-driven design, structural optimization, and refined construction control, significantly improving the reliability, efficiency, and pile quality of cast-in-place pile construction in soft rheological strata.

The invention discloses a method for forecasting stress and fatigue life of an articulated joint of a marine emergency bridge under a moving load. A wave-bridge action numerical model is established in fluid software, and an external drainage basin and bridge motion numerical model is constructed according to computational fluid mechanics (fluid). Finite element calculation is carried out under the same model proportion, and the fluid and the finite element model have the same size and the same position in the coordinate system of the fluid and the finite element model. And constraining the finite element model, and further applying a moving load. And operating the fluid software, and mapping the pressure data of the fluid software to the finite element software. And feeding back the movement of the bridge and the deformation of the joint structure obtained in finite element analysis in the finite element software to the fluid solver through a grid mapping technology so as to update grid data in the fluid solver. By forecasting the deformation of the hinge joint of the marine emergency bridge in a multi-field coupling environment, more accurate reference data is provided for the design of the joint of the marine emergency bridge.

The invention discloses a viscoelastic fluid heat flow coupling topological optimization method for micro-channel system design. The method comprises the following steps: firstly, carrying out pretreatment, defining a viscoelastic fluid constitutive model, defining material attributes and carrying out finite element analysis; then constructing boundary conditions of the heat flow coupling topological optimization model; constructing a viscoelastic fluid heat flow coupling topological optimization mathematical description model, then constructing an optimization model, and finally verifying the topological optimization design result of the viscoelastic fluid system. According to the method, the heat flow coupling calculation of the viscoelastic fluid is carried out through the logarithmic tensor reconstruction method, and a relatively accurate analysis result can be obtained under a high Vesceng number; and in combination with a variable density topological optimization method with high design degree of freedom, a new configuration of a micro-channel system structure is obtained, and a new solution idea is provided for heat dissipation of a micro electronic component with high heat flux.

The invention provides a charging pile load radiation disturbance background noise monitoring method, which comprises the steps of obtaining real-time current data and a magnetic flux density value in a magnetic core during operation of a charging pile, determining an initial current threshold value of the saturation degree of the magnetic core, and calculating a deviation value between the magnetic flux density and a preset saturation threshold value to obtain a saturation deviation value; according to the saturation deviation value, identifying the magnetic field distribution intensity of the magnetic core under the current load by adopting a finite element analysis method, and judging the radiation suppression weakening degree to obtain a radiation weakening multiple; processing real-time waveform data of a ground noise signal generated by an internal circuit of the charging pile and detected and received by a magnetic core according to the radiation weakening multiple, and determining a trigger point of an electromagnetic unstable cycle; and adjusting a magnetic core configuration value according to the offset amplitude prediction value to recover radiation intensity control, identifying a real-time calibration bottom noise fluctuation level, and monitoring an attenuation effect of an electromagnetic unstable cycle in a calibration process to obtain an optimized compatibility performance value.

The invention relates to the technical field of pipeline engineering, in particular to a pipeline real-time adjusting and optimizing system and method based on edge calculation and a dynamic evolution algorithm, five modules of distributed edge perception, position space prediction, real-time finite element analysis, multi-target optimization and layout adjustment are fused, firstly, an edge perception network collects multi-source data, and a unified tensor is generated; then, a position space prediction module predicts multi-time scale position space change based on tensor data by using a Shenchang differential equation; the real-time finite element analysis module receives prediction data, pipeline stress is calculated through a grid self-adaptive refinement technology, and hot spots are identified; the multi-objective optimization module adopts a dynamic variation differential evolution algorithm to generate a plurality of pipeline layout candidate schemes based on the hotspot data; the layout adjustment module performs multi-constraint conflict detection, adaptively adjusts candidate schemes and outputs a final pipeline layout; the system realizes intelligentization, precision and high efficiency of pipeline layout.

The present application belongs to the field of structure simulation calculation, and particularly relates to a mirror flexible support stress field information reconstruction method of multi-task Gaussian process. Firstly, for a specific mirror flexible support structure, its boundary conditions and load working conditions are determined. The finite element analysis software is used to divide the structure into grids, and a finite element model containing node and element information is generated. Then, a plurality of state input samples are generated in the value range of the load through methods such as Latin hypercube sampling. Part of the nodes in the finite element model is uniformly selected as task input. The training data is obtained through finite element analysis, and a multi-task Gaussian process model based on a graph is constructed. The correlation matrix of the state and the task is calculated, and the log-likelihood function is determined. The hyperparameters of the model are adjusted through an optimization algorithm. For unknown states or unknown tasks that need to reconstruct stress field information, the trained model is used for prediction. According to the prediction result, the stress field information is reconstructed.

The invention discloses a finite element analysis method for reducing concrete tensile stress through a transverse joint grouting measure. Comprising the following steps that a concrete gravity dam discharge dam section and foundation model is established, finite element software is imported, and numerical simulation parameters are set; grid division is carried out on the model, and grids in the runner are encrypted; constraint and load are applied, elastic support is applied to the side surface of the dam section, and transverse joint grouting measures are simulated; and solving the model by using finite element software, and evaluating stress results of an inlet section, a gate slot section and a breast wall section of the discharge dam section. The device has the advantages that elastic support is applied to the side surface of the dam section, and the effect of transverse joint grouting measures on the dam section is simulated. Quantitative calculation results show that transverse joint grouting measures can increase the lateral rigidity of the dam section, improve the stress state of concrete and reduce the tensile stress of the concrete in the flow channel, so that the use amount of steel bars in the flow channel is reduced, and the method is safe, economical and convenient to construct.

The invention provides a dynamic optimization method for a periodic impact load supporting structure. The method comprises the steps that the excitation frequency of a periodic impact load borne by the supporting structure is acquired; obtaining an initial first-order inherent frequency of the supporting structure through finite element analysis or directly adopting a mode of a modal test; judging whether k is not smaller than k0 or not; if yes, the initial first-order inherent frequency serves as the inherent frequency of the supporting structure. The method can be used for guidance and reference of related structure design.

The invention discloses a 3D printing modular structural mechanics intelligent STEM teaching method and system, and belongs to the technical field of structural engineering education. According to the system, modular structural members including rod pieces, hinge joints, rigid joints and supports are manufactured through 3D printing, and various structural models are supported to be assembled and formed; using an image identification technology to automatically extract geometric parameters and topological relations of the assembly structure and generate a digital model; carrying out structure static analysis and response calculation by utilizing an open source finite element analysis library; load and deformation data are acquired in real time by integrating a force sensor and an image displacement tracking technology, and data transmission is realized through an MQTT protocol; and finally, a theoretical analysis result and experimental data are synchronously displayed through a visual interface, so that digitization, visualization and interaction of the structural mechanics teaching process are realized, and the teaching intuition and the practical ability of students are improved.

This invention discloses a rapid prediction method for machining deformation of large thin-walled structural parts based on finite element analysis. The method obtains the machining trajectory equation, cutting speed, residual stress, cutting temperature under stable cutting conditions, and cutting force components in the workpiece coordinate system {W} during the machining process. In the ABAQUS finite element software, subroutines SIGINI, DFLUX, and DLOAD are written in Fortran programming language to apply the residual stress field, cutting heat, and cutting force. The USDFLD subroutine controls the predefined field and state variables to achieve the "birth and death element" effect, simulating material removal. The established machining deformation prediction model of the large thin-walled structural part is submitted for solution, yielding a deformation contour map of the large thin-walled structural part. This method simultaneously considers the coupling of multiple factors such as residual stress, cutting force, cutting heat, and clamping conditions, providing an important reference and basis for studying machining deformation laws and developing reasonable and effective machining accuracy control optimization strategies.

The invention relates to the technical field of fan impeller blade optimization, in particular to a wing type centrifugal fan impeller blade optimization method and system. The method comprises the steps that ventilator structure design is conducted on a draught fan according to user requirements, and a three-dimensional model of an impeller is obtained; obtaining impeller material parameters and operation condition parameters of the designed ventilator; establishing a finite element simulation model by utilizing finite element software according to the acquired parameters and the three-dimensional model; calculating the structural strength of the ventilator based on the finite element simulation model to obtain a finite element analysis result; and fan impeller blade optimization is carried out based on a finite element analysis result. A high-stress and large-deformation area, caused by insufficient supporting of reinforcing ribs, of the outer edge of the impeller is accurately positioned through finite element analysis, and blindness of traditional experience design is broken through.

The invention relates to the technical field of finite element simulation testing, in particular to a support hanger vibration stress state analysis method based on finite element analysis, which comprises the following steps: step 1, creating a three-dimensional model of a steam-water pipeline system comprising a support hanger; 2, finite element software is imported, a spring unit, thermal displacement boundary conditions and connection rigidity are finely defined, and a high-fidelity finite element model is established; 3, statics analysis and modal analysis are carried out, and stress, strain, inherent frequency and vibration mode under the action of gravitational acceleration, pipeline internal pressure, pipeline operation temperature and pipeline displacement load are obtained; and 4, based on the material strength and the vibration test frequency, judging the model precision and reliability, and if not, optimizing the model parameters. According to the method, boundary conditions and model parameters are finely defined, and verification and correction are performed by using experimental data, so that the simulation precision of the model is remarkably improved, and the model can be reliably used for identifying and analyzing the load of the support hanger.

The application provides an automatic car cleaning robot cantilever structure optimization design method, comprising: for the candidate high-strength lightweight alloy material, using the finite element analysis method, simulating the stress state of the cantilever under different working conditions, obtaining the stress-strain nephogram, and judging whether the material meets the strength and stiffness requirements; at the connection between the cantilever and the cleaning tool, a standardized quick-change interface is designed, the cleaning tool is divided into several functional modules, and each module is connected with the cantilever through the quick-change interface; a three-dimensional model of the quick-change interface is established, a precise positioning and locking mechanism is adopted, the quick positioning and reliable connection of the cleaning tool module and the cantilever are realized, and the interface gap after connection is less than a preset threshold; using a three-dimensional CAD software, a parameterized design model of the cantilever structure is established, the key size and geometric feature parameters of the cantilever are parameterized, and a parameterized driving framework is formed.

This invention relates to the field of hydro-generator technology and discloses a finite element analysis method for movable guide vanes. The method includes: 1. establishing an analysis solid model containing three movable guide vanes; 2. setting nonlinear contact at the contact points of the three movable guide vanes; 3. setting an association between two separate movable guide vanes; 4. setting boundary conditions; 5. obtaining the required data after calculation. This method restores the true stress state of the guide vanes and solves the problem of large deviations in calculation results from traditional single guide vane models.

The invention discloses a generalized Hamilton symplectic neural network dynamic response analysis method for an engineering structure. A sinchinger propagation operator is embedded in forward propagation of a neural network, so that the geometric structure and energy consistency of the system is kept; on this basis, a conservative dissipative double-branch network structure is constructed, a conservative branch keeps a track by using a symplectic propagation generation structure, and a dissipative branch independently depicts damping and external load effects, so that unified modeling of conservative and non-conservative systems is realized. An equation residual error and an energy regular term are constructed through an automatic differential technology, and unsupervised training can be realized without real trajectory data. According to the method, a coupling interface of a finite element generalized Hamilton neural network is established, mass, damping, stiffness matrixes and load vectors obtained through finite element analysis are mapped into a generalized Hamilton form, and high-precision dynamic response prediction of complex engineering structures such as stiffened wallboards is achieved.

This invention discloses an integrated digital design system and method for bridge superstructure and substructure, relating to the fields of bridge design and computer technology. This invention creates a system using computer programming technology that enables intelligent modeling of bridge superstructure and substructure, one-click generation of finite element analysis models, and one-click output of calculation reports. The system mainly includes a parameter database, a superstructure model database, a substructure model database, a route identification module, a geological parameter identification module, and an integrated intelligent analysis module. The design parameters of the bridge superstructure and substructure are categorized and refined to form a universal modular parameter input system. Simultaneously, it automatically identifies corresponding design parameters from external route and geological files. Finally, it intelligently integrates the above modules to automatically form a complete integrated finite element analysis model of the superstructure and substructure. This invention system can improve the calculation and design efficiency of bridge structures and reduce design costs.

An analogue simulation method for the oxidation behavior of a C / SiC composite material component comprises the following steps that A1, Abaqus software is used for modeling the component, space coordinates of all integration points of the component are obtained, and an oxidation starting surface is designated; a2, writing a Python program, dividing grids based on a Delaunay algorithm, calculating the shortest distance from any integral point to all oxidation starting surfaces, and outputting the shortest distance; a3, compiling a C / SiC composite material oxidation analysis Umat subprogram based on Abaqus software by adopting a Fortran language, and reading shortest distance information; and A4, based on an existing C / SiC composite material oxidation diffusion mathematical model, a C / SiC finite element analysis model is established, and the oxidation expansion process of the component under different loads and temperatures is obtained.

The invention discloses a method, system and equipment for predicting the bearing capacity of a prestressed containment structure and a medium, and relates to the field of safety prediction.The method comprises the steps that a finite element analysis model of a prestressed containment is established, containment performance simulation is conducted based on the finite element analysis model of the prestressed containment, and simulation time-varying data is obtained; establishing an agent model of containment structural performance based on the prior input parameters; the prior input parameters comprise simulation time-varying data and historical test time-varying data; bayesian updating is carried out based on the prior input parameters, and a Markov chain Monte Carlo simulation method is adopted to predict the containment prestress loss probability based on the proxy model so as to determine the bearing capacity of the prestress containment structure. According to the method, high-cost finite element simulation is replaced by the proxy model, and Bayesian updating and Markov chain Monte Carlo simulation methods are combined, so that the prediction efficiency of the bearing capacity of the prestressed containment structure is improved, and the calculation cost is reduced.

The invention provides a heavy steel plant structure design optimization system, which is characterized by comprising a plant classification module used for classifying plant structure design schemes; the expert empirical rule module is used for setting expert empirical rules and establishing an expert empirical rule database; the hard constraint condition module is used for setting hard constraint conditions and establishing a hard constraint condition database; the parametric modeling module is used for constructing an initial model by using a parametric modeling method; the finite element analysis module is used for establishing a finite element model based on the initial model by utilizing finite element analysis software; the optimization module is used for carrying out loop iteration optimization on the finite element model by utilizing a genetic algorithm on the basis of expert empirical rules and hard constraint conditions to obtain an optimization result; and the result display module is used for displaying the optimization result. The heavy steel plant structure design optimization system overcomes the defects in the prior art, has reliability and practicability, and is suitable for economical efficiency optimization of large-span heavy steel industrial plants.

The application discloses a transformer long oil gap checking method and system, a storage medium and an electronic device, and comprises the following steps: performing finite element simulation calculation on the electric field intensity based on the geometric structure of the transformer, and obtaining the electric field modulus of each spatial coordinate point in the whole space of the transformer; screening the spatial coordinate points based on the electric field modulus to obtain a point cloud data set; constructing a three-dimensional entity model based on the point cloud data set, measuring the volume of the three-dimensional entity model, and determining the model volume of the three-dimensional entity model; calculating the electric field failure critical value based on the model volume; and performing transformer long oil gap checking based on the electric field failure critical value and the maximum value of the electric field modulus to obtain a checking result. The application combines finite element analysis and spatial data processing means to quickly and accurately obtain and calculate the spatial volume, is high in operability, high in precision, fast in speed, capable of avoiding complicated experimental detection and manual statistics, and low in labor and time cost.

The present application relates to structural fatigue strength evaluation technical field, specifically to a kind of structural fatigue strength automatic evaluation system and method, system includes: obtaining initial external load history data, the initial external load history data is preprocessed, and load numerical file is generated;Geometric model is established in finite element software;The material properties and boundary conditions of the geometric model are set, and preprocessed model is obtained;The preprocessed model is meshed, and load is applied based on the load numerical file, and finite element model is obtained;The finite element model is analyzed by finite element, and the result file containing stress strain result is obtained.In the present application, the dispersed pre-processing, solving, post-processing, evaluation process is integrated in the unified plug-in system, the "one-key" automatic analysis from load data to fatigue evaluation result is realized, and the manual intervention and error are reduced.

This application discloses a modular structure optimization design method and apparatus, relating to the fields of modular structure modeling and modular structuring algorithms. The method includes: constructing a modular structural system based on a target structure and decomposing it into multiple isomorphic subsystems and a residual system; performing finite element analysis on the isomorphic subsystems to construct a hyperelement matrix; transforming the isomorphic subsystems from physical coordinates to modal coordinates and constructing a modular virtual framework based on the hyperelement matrix; initializing the design variables of the modular virtual framework and introducing a Bayesian optimization method to construct a Bayesian surrogate model; training the Bayesian surrogate model until a preset stopping condition is met to obtain optimization parameters; and updating the design variables according to the optimization parameters to obtain the optimized modular structural system. This method achieves efficient optimization design of multi-dimensional modular structures while ensuring the accuracy of the calculation results.

The application discloses a kind of based on InSAR and finite element analysis building three-dimensional deformation inversion method and system. Including according to deformation rate abnormal period extraction LOS direction cumulative deformation variable;According to radar, building and so on Characteristic screening target building on PS point;Based on deformation rate abnormal period historical data, preliminary judgment deformation cause;Based on numerical simulation analysis under the constraint of SAR data;Establish the absolute coordinate point vector data of numerical simulation node grid, convert absolute coordinate to geographic coordinate;Convert directional deformation into LOS direction deformation variable;Calculate the continuous deformation result of numerical simulation result, compare the difference rate of measured PS point LOS direction deformation and simulated inversion LOS direction deformation by once linear fitting model;Based on once linear fitting result and expected degree modify numerical simulation condition setting, optimize simulation result.The application can solve the problem that InSAR inversion system cannot determine the absolute three-dimensional deformation data of building target.