21 results about "Finite element solution" patented technology

This invention belongs to the field of numerical electromagnetic field solution, specifically a mesh adaptive method based on reconstructive posterior error estimation. The invention first performs finite element modeling of the target microwave component, introducing boundary conditions and excitations to establish a corresponding electromagnetic simulation model. Then, a tetrahedral mesh is used to divide the solution domain, and finite element electromagnetic simulation analysis is performed on the model to calculate the electric field at the centroid of the four faces of the tetrahedral mesh. The least squares principle is then used to refit the electric field on the tetrahedral mesh to reconstruct a first-order linear fitting expression. Next, the reconstructed solution at the nodes is calculated using the reconstructed fitting expression, and posterior error estimation is performed based on the electric field at the nodes. Finally, the mesh is refined according to the error on the tetrahedral mesh, and finite element electromagnetic simulation analysis is performed again until the finite element solution meets the accuracy requirements. This invention has the advantages of simple engineering implementation, low computational cost, and high universality.

The application discloses a kind of T-shaped sheet piece angle joint welding's welding temperature field and deformation prediction method, it is related to welding temperature field and deformation simulation prediction technical field, method steps include obtaining T-shaped sheet piece angle joint welding's temperature field theoretical solution;T-shaped sheet piece grid division and heat source setting are carried out;Solving the temperature field of T-shaped sheet piece angle joint welding, and comparing and analyzing iterative finite element analysis setting with the temperature field theoretical solution obtained;Obtain the welding deformation and stress field of T-shaped sheet piece.The application solves the temperature field of T-shaped sheet piece angle joint welding by using finite element analysis method, and compares and analyzes iterative finite element analysis setting with the temperature field theoretical solution, improve the precision of finite element solution.

The invention relates to the technical field of building curtain wall design, in particular to a parameterized finite element simulation calculation method of a point-supported glass curtain wall for improving design efficiency and a storage medium, and the method comprises the following steps: defining an input parameter set, and setting the input parameter set as a global variable; obtaining a segmentation geometric model; unit and material characteristics are given to the segmentation geometric model; performing grid division on the segmented geometric model to generate a finite element grid, so that corresponding finite element nodes exist at the positions of the geometric key points; finite element nodes are recognized, displacement constraint is applied, and meanwhile evenly-distributed pressure loads are applied; mechanical response data are obtained, and when any variable is changed, modeling calculation is repeated based on the changed parameters; and extracting stress distribution, deformation and support counterforce data from a finite element solution calculation result. According to the invention, parameterized automatic simulation is realized, and stress concentration is accurately captured; the utilization of computing resources is optimized while the large deformation behavior of the brittle glass material is accurately simulated, and the design efficiency and the structural safety are improved.

The invention discloses an efficient simulation method for collision between long ellipsoid particles and a wall surface based on discrete elements, and belongs to the technical field of gas-solid two-phase flow numerical simulation. The method comprises the steps that a universal long ellipsoid particle-wall surface collision elastic force model is established, and the model represents a universal function relation between elastic force and particle geometry, material attributes and kinematics state parameters; based on the elastic force model and the momentum theorem, constructing a particle-wall surface collision dynamic model; based on the kinetic equation, a discrete time method and a numerical integration algorithm are adopted, and force, speed and energy parameters, changing along with time, of the long ellipsoid particles and the wall face in the whole collision period are solved. According to the method, the analytic model is embedded into a discrete element simulation framework to replace calculation-intensive finite element solution, so that second-level efficient solution is realized while the calculation precision is ensured, and the calculation efficiency is remarkably improved.

The invention belongs to the technical field of fuel tank simulation analysis, and discloses a fuel tank lightning environment direct effect analysis method and system, and the method comprises the following steps: building a fuel tank simulation model, and carrying out the material attribute setting of the fuel tank simulation model; finite element solution analysis is conducted on the fuel tank simulation model with the set material attributes, and a simulation analysis result is generated; and performing comparison verification based on the simulation analysis result and the actual lightning stroke test data of the fuel tank. The method solves the problem that the aircraft fuel tank lacks effective simulation analysis means under the requirements of lightning environment airworthiness certification terms and laws and regulations, different lightning stroke scenes can be quickly covered, and the analysis period is greatly shortened.

The invention discloses an intelligent bearing fault monitoring method and device for wind power operation and maintenance, and belongs to the technical field of wind power fault monitoring. A joint simulation analysis mode based on HyperMesh and ANSYS is introduced, and refined modeling and grid division are performed on a fan bearing structure, so that the bearing fault monitoring efficiency is improved; stress and vibration response characteristics of the bearing under actual working conditions are analyzed by combining finite element solution, bearing vibration energy distribution and key response areas are accurately reflected, and effective coverage of axial, radial and transverse vibration information is realized; according to the method, the arranged sensors can more effectively acquire vibration information closely related to the running state of the bearing, and compared with a unified or empirical measuring point arrangement mode in the prior art, the signal-to-noise ratio and identifiability of bearing fault characteristic signals can be improved, and the probability of occurrence of missing detection and misjudgment can be reduced.

The embodiment of the invention provides a simulation method and device for craniocerebral growth and a storage medium, and belongs to the technical field of images. The method comprises the following steps: constructing three-dimensional brain models in one-to-one correspondence with standard brain CT sample images corresponding to different growth time periods; taking the three-dimensional brain model corresponding to an initial time period in different growth time periods as an initial simulation model for segmentation to obtain a plurality of brain model components; performing finite element solution of growth parameters on a gridding three-dimensional craniocerebral model obtained by gridding each craniocerebral model component to obtain a predicted craniocerebral model of the next growth time period; obtaining a first target growth parameter corresponding to the current growth time period according to the predicted craniocerebral model and the three-dimensional craniocerebral model in the same growth time period; and taking the predicted craniocerebral model as an initial simulation model to obtain a first target growth parameter of the next growth time period. According to the embodiment of the invention, the simulation efficiency and simulation precision of skull simulation can be considered.

The present application belongs to the technical field of welded structure reliability evaluation, and particularly relates to a calculation method of stress intensity factor of gap defect weld under tensile shear load, comprising: selecting an automobile sheet part as a research object, and constructing a strip two-dimensional model of a gap defect weld containing an initial gap; based on the linear elastic superposition principle, the load borne by the gap defect weld is decomposed into multiple load types; based on the strip two-dimensional model of the gap defect weld containing the initial gap, the analytical solution of the stress intensity factor under the load generation mode corresponding to different load types is calculated respectively, and the analytical solution of the stress intensity factor under different load generation modes is calculated; a finite element model of the gap defect weld is constructed and finite element analysis is carried out, and the finite element solution of the stress intensity factor under different load generation modes is calculated; the analytical solution and the finite element solution of the stress intensity factor under different load generation modes are compared, and the accuracy of the analytical solution of the stress intensity factor is verified.

The application belongs to the technical field of three-dimensional electromagnetic radiation numerical solution, and relates to an electromagnetic radiation simulation analysis method based on local grid self-adaptive division. Firstly, the application carries out finite element modeling on a target antenna, introduces PML boundary and wave port excitation to establish a corresponding finite element calculation domain model, and adopts tetrahedral grid division to classify the calculation domain model; then finite element electromagnetic radiation simulation analysis is carried out to obtain finite element solution, and error estimation and encryption strategy are used to give the encryption size of the grid nodes in the non-PML region; finally, the grid is encrypted, finite element electromagnetic radiation simulation analysis is carried out again, and the process is repeated until the overall solution error is less than the set error limit, the final calculation grid is obtained, and finite element electromagnetic radiation simulation analysis is carried out. The application only encrypts the tetrahedral grid in the non-PML calculation domain, ensures the original characteristics of the tetrahedral grid in the PML calculation domain, and realizes the rapid simulation design of the antenna radiation characteristics while ensuring the calculation accuracy.

The present application relates to a kind of compressor blade grid parameterization joint call analysis method.The present application is with MATLAB software as total control hub, by the flow control and data interaction ability of MATLAB, the grid parameterization deformation technology of HyperMesh software and the parametric finite element solution technology of ANSYS software are organically integrated together, construct a full-automatic closed loop analysis method and system from variable input to result output.The method realizes the quick response and batch calculation of several kinds of uncertain variables such as geometry, material, load, and is especially suitable for the fatigue life reliability analysis of compressor blade.

The present application relates to the technical field of building curtain wall design, and more particularly to a parameterized finite element simulation calculation method of point support glass curtain wall for improving design efficiency and a storage medium, comprising: defining an input parameter set and setting it as a global variable; obtaining a segmented geometric model; giving the segmented geometric model unit and material properties; performing mesh division on the segmented geometric model to generate finite element meshes, so that corresponding finite element nodes exist at geometric key point positions; identifying the finite element nodes and applying displacement constraints, while applying uniform pressure loads; obtaining mechanical response data, when any variable is changed, repeating modeling calculation based on the changed parameters; extracting stress distribution, deformation and support reaction data from the finite element solution calculation results. The present application realizes parameterized automatic simulation, accurately captures stress concentration; optimizes the use of computing resources while accurately simulating the large deformation behavior of glass brittle materials, and improves design efficiency and structural safety.

This application provides a nonlinear finite element accelerated solution system and method. The system includes: a physical information neural network model construction module configured to: acquire configuration points in the solution domain of the nonlinear partial differential equation to be solved; input the configuration points into a fully connected neural network to obtain a predicted solution; and obtain a physical information neural network model based on the predicted solution; an input module configured to: construct a finite element model of the nonlinear partial differential equation to be solved; transform the nonlinear partial differential equation to be solved into a system of nonlinear algebraic equations; and generate a predicted value vector based on the finite element model; and a solution module configured to: solve the system of nonlinear algebraic equations using a nonlinear solver to obtain the target solution. This addresses the problem that in current finite element methods for parameterized research scenarios, each time a new parameter value is input, a complete and computationally expensive nonlinear finite element solution process needs to be started independently, leading to repetitive calculations and low efficiency.

A wallboard assembly performance evaluation method based on actual measurement data driving is characterized by comprising the steps that actual measurement data of key loading points of an assembly site are obtained firstly, and a real wallboard finite element model is generated on the premise that the volume mesh topology is kept unchanged based on actual measurement deviation; then carrying out assembly condition analysis and extracting performance indexes, and further constructing a training sample to realize online performance evaluation based on AI; and finally, returning a finite element analysis result to the twinborn visualization platform for state mapping and display. According to the method, a closed loop of rapid generation of a real wallboard, stable finite element solution, automatic construction of a training sample and twinborn visual display is realized.

The application provides a porous medium fluid-solid coupling iterative acceleration calculation method based on a Fourier neural operator, and relates to the technical field of porous medium fluid-solid coupling simulation. The method comprises the following steps: constructing a sample data set containing heterogeneous parameters and boundary conditions, and obtaining a pore pressure field and a volume strain field true value by using a traditional numerical simulation; training a Fourier neural operator mechanical proxy model based on the data set, wherein the Fourier neural operator mechanical proxy model takes a pressure field, a Young's modulus field, a Poisson's ratio and a boundary load as input, and takes a volume strain field as output. Subsequently, a mixed iterative calculation framework based on a constant stress splitting is constructed: a fluid module adopts a finite volume method to solve a pressure field, a solid module calls the trained proxy model to quickly infer a strain field, and a two-way coupling iteration is realized through a porosity evolution model until convergence. The method replaces the traditional finite element solution by using the proxy model, and significantly reduces the solution cost of a large linear system under the premise of maintaining physical consistency and calculation accuracy.

This invention belongs to the field of electromagnetic simulation calculation and provides an electrically large-scale electromagnetic simulation method based on a hybrid algorithm for partitioned solution. First, the large-scale electromagnetic target is divided into solution regions according to component structure. For different algorithm solution domains, a domain decomposition method is used to decompose the hybrid algorithm solution matrix into subdomains, obtaining the hybrid algorithm solution matrix equation after domain decomposition. Then, for the hybrid algorithm solution matrix after domain decomposition, an outermost preprocessor is constructed using a block Jacobi preprocessing method, and an inner preprocessor is constructed using a multi-wavefront block incomplete decomposition method. Finally, multi-threaded parallel technology is used to iteratively solve the hybrid algorithm solution matrix equation, obtaining solutions for both the finite element solution domain and the integral equation solution domain. Based on this, this invention has advantages such as significant multi-algorithm fusion, high preprocessing efficiency, small memory footprint, and good parallel scalability, enabling efficient electromagnetic simulation analysis of electrically large-scale targets.

The invention discloses an ecological bank protection gabion finite element analysis and structure improvement method, and relates to the field of water conservancy and geotechnical engineering.The ecological bank protection gabion finite element analysis and structure improvement method comprises the steps that a gabion structure is divided into a flexible net cage layer, a contact coupling layer and a stone filling layer, the stone filling layer adopts equivalent particle domain unit modeling, and the contact coupling layer is used for establishing a mechanical coupling relationship between the two layers; normal contact rigidity, tangential rigidity and friction coefficient parameters are set in the contact coupling layer so as to describe the top pressure, the friction reaction force and the slippage behavior of the stone on the mesh cage; applying a dynamic water impact load with a time pulse characteristic to the outer surface of the flexible mesh cage; and supporting constraint is applied to the bottom of the model, transient finite element solution is carried out, and dynamic stress distribution of each layer of structure is obtained. The problem that discontinuous stress and pulse impact response of the gabion cannot be accurately simulated through traditional finite element analysis is solved.

The present application relates to the technical field of building engineering construction, in particular to a kind of assembly type component hoisting process simulation method and system based on BIM. By obtaining component model and reinforcement geometric coordinates containing virtual hook node, embedded lifting ring node and rigging;According to the position of hook and lifting ring node to determine the geometric length of rigging, nonlinear finite element solution is carried out combined with rigging length increment sequence under different working conditions, and sleeve hole deformation coordinates under each working condition are obtained;According to the position difference between deformation coordinates and corresponding reinforcement coordinates, determine the hole group deviation distribution set, extract the deviation distribution radius and distribution center offset vector;Determine the optimal working condition based on the numerical difference of radius, and generate control instructions according to the offset vector of optimal working condition and rigging length increment sequence.The present application realizes the quantitative decoupling of shape error and position error, improves the on-site alignment adjustment precision through step-by-step control of shape correction first and then alignment.

The invention provides an ABAQUS-based energy pile thermosetting coupling numerical simulation method, and relates to the technical field of energy geotechnical engineering.The method comprises the steps that a three-dimensional geometric model of a soil body, a pile body and a heat exchange pipe is constructed; the soil body is partitioned, and the pile body and the heat exchange tube are subjected to Boolean operation to generate an integrated pile body component with the common joint of an interface; assembling to form a three-dimensional solid model and defining material parameters; performing grid discretization by adopting a temperature-displacement coupling unit; establishing a multi-stage analysis step sequence, wherein the multi-stage analysis step sequence comprises two crustal stress balance and temperature-displacement coupling analysis steps; applying load and boundary conditions; and finite element solution is carried out, and temperature field, thermal stress and pile-soil interface mechanical response data are extracted. According to the method, the whole energy pile construction and service process can be truly reflected, accurate coupling calculation of the temperature field and the stress field is achieved, and a reliable basis is provided for energy pile design optimization.

The invention relates to the technical field of crude oil storage tank safety evaluation, and provides a large-scale crude oil storage tank structure failure evaluation method based on multiple extreme working conditions, and the method comprises the steps: constructing each part of a storage tank, and assembling each part; setting the unit type of each component in the finite element according to the actual material parameters of the storage tank; setting three analysis steps for analysis; determining the mutual relation among all the components and carrying out grid division on all the components; fitting a differential settlement formula, a wind load formula and a snow load formula, inputting the formulas into an analytical field, creating a load model, setting boundary conditions, and combining loads of different sizes to act on the storage tank; performing finite element solution, extracting deformation data of each part, and performing tank wall structure safety evaluation on a simulation solution result according to a storage tank deformation evaluation standard. A certain theoretical basis is provided for safe operation of the large crude oil storage tank under the extreme working condition coupling effect.

This invention discloses an intelligent design method for mechanical parts based on a large model. The method first extracts the dimensional parameters of the parts and sets effective value boundaries, constructing a parametric universal template without geometric interference. Then, it discretizes sampling within the boundaries and constructs a high-fidelity simulation dataset through automated parameter-driven modeling and batch finite element solution. Next, based on this simulation dataset, it utilizes efficient parameter fine-tuning technology to enable the large language model to learn physical mapping laws, achieving inverse parameter optimization. Finally, through automated cross-software physical verification, it transforms real physical errors into error feedback signals and uses reinforcement learning to continuously correct the large model in a closed-loop manner. This invention solves the problems of low efficiency and difficulty in inverse optimization in traditional forward simulation, realizing intelligent design of mechanical parts with operational reliability and long lifespan.

The invention provides a shear-resistant steel pipe screw pile and a parameter determination method, and relates to the technical field of power transmission and transformation engineering. The method comprises the steps that design parameters of the shear-resistant steel pipe screw pile are obtained; according to the design parameters of the shear-resistant steel pipe screw pile, a target finite element model of the shear-resistant steel pipe screw pile is determined; according to the target finite element model, horizontal load is applied to the pile top of the shear-resistant steel pipe screw pile, finite element solution is carried out, and stress distribution and deformation data of a pile body are obtained; based on the stress distribution and the deformation data, the maximum bending moment value of the pile body is determined; according to the maximum bending moment value and the bending strength design value of the steel, the bending bearing capacity of the pile body is determined; and determining the horizontal bearing capacity of the anti-shearing steel pipe screw pile based on the anti-bending bearing capacity and the force arm from the pile top of the anti-shearing steel pipe screw pile to the ground. According to the scheme, the horizontal bearing capacity of the screw pile is greatly improved, and meanwhile, the current horizontal bearing capacity of the screw pile can be accurately and efficiently analyzed.