168 results about "Element modeling" patented technology

The invention discloses a tire finite element modeling and multidirectional rigidity optimization method and system based on characteristic lines. The method comprises the following steps: extracting tire section characteristic lines from a three-dimensional digital model; introducing the tire section characteristic line into a finite element analysis environment, generating a three-dimensional tire geometric model by rotationally scanning the characteristic line, and performing grid division on the model; setting tire material attributes, performing zoning setting on the model according to a tire crown, a tire shoulder and a tire side wall, and setting tire thickness based on zoning; applying a constraint boundary condition at the center of the tire, and establishing a contact form of the tread and the ground; a progressive inflation pressure load is applied, the deformation state of the inflated tire is calculated, and longitudinal rigidity, radial rigidity and lateral rigidity calculation and analysis steps are set; the tire elasticity modulus and the cord fabric thickness are used as design variables, and an optimization algorithm is adopted to solve a multi-objective optimization function. The method has the advantages of being simple in modeling method and high in practical operability, the tire modeling threshold can be lowered, and the fund and time cost of refined modeling is reduced.

The invention discloses a solid rocket engine bearing structure lightweight determination method based on a carbon fiber composite material, and relates to the technical field of composite material structure design, and the method comprises the steps: obtaining the structure size and geometric shape of a fixed body; replacing a titanium alloy material with a carbon fiber composite material, and determining a carbon fiber composite material structure response model based on a finite element modeling method; determining an optimal layering scheme based on structural response sensitivity analysis and a multi-objective optimization method; then determining a thickness optimization scheme based on the structural size and geometric shape of the fixed body and load distribution; determining a reinforcement optimization scheme based on a parametric modeling method; determining a metal reinforcement configuration by adopting a structural rigidity-quality collaborative evaluation method; and finally, determining a lightweight structure of the fixed body based on a composite material layering process design method. The mass of the fixing body structure can be reduced, the mechanical property of the fixing body structure is improved, and the high-performance design requirement of a solid rocket engine is met.

This invention discloses a rapid modeling method for large-size composite structures with variable thickness solid meshes based on a yarn model, belonging to the field of finite element modeling of fiber-reinforced composite materials. Its core process includes: for a large-size component S to be analyzed, generating yarn models for each ply partition using composite material design software and batch-dividing triangular meshes; similarly, extracting smooth surface profiles from the three-dimensional geometry of the overall component S and generating a structured shell mesh as the base carrier; then, using a voxel hash-accelerated spatial Boolean intersection algorithm to automatically identify the element sets of each ply partition between each yarn mesh and the overall shell mesh, generating a stepped solid mesh through normal offset, ensuring interface compatibility through node merging, and finally assigning material properties and generating an analysis model that can be directly submitted for solution. This invention significantly reduces manual workload and error risk, providing an efficient and reliable preprocessing solution for the curing deformation and strength analysis of composite material structures.

The invention discloses a machine learning prediction method for mechanical properties of a metal dot matrix, and belongs to the technical field of metal materials. The method comprises the following steps: S1, finite element modeling and simulation testing; s2, data collection and preprocessing; s3, performing feature analysis; s4, training and evaluating a machine learning model; s5, carrying out interpretability analysis; and S6, performing performance prediction. According to the machine learning prediction method for the mechanical properties of the metal dot matrix, the research and development cost of the mechanical properties of the metal three-dimensional dot matrix is greatly reduced, the research and development efficiency is improved, the prediction precision is high, the blank of special configuration performance prediction is filled, the influence of parameters on the performance can be clarified, and a reliable basis is provided for structural optimization.

The invention relates to the technical field of hydraulic engineering safety monitoring and numerical analysis, and discloses a multi-dimensional cloud agent model assisted high-performance adaptive probability inversion system, which comprises a finite element modeling module, a sample generation module, a cloud agent model construction module, an adaptive inversion module and a dynamic updating module. The system constructs a multi-dimensional coupling cloud agent model for replacing finite element calculation by calculating cloud digital characteristics such as expectation, entropy and hyper entropy of input variables and generating a multi-layer virtual cloud droplet; performing parameter inversion by using a variable step Markov chain Monte Carlo algorithm based on local and global uncertainty indexes; and processing time sequence monitoring data by combining a state space model and a Bayesian recursion strategy to realize continuous correction of parameter posterior distribution. According to the method, the problems of long time consumption, low convergence efficiency and difficulty in processing time-varying characteristics of traditional inversion calculation are effectively solved, and efficient dynamic inversion and safety state accurate evaluation of dam full life cycle parameters are realized.

The invention discloses a fan lattice tower optimization design system and method based on an improved genetic algorithm, and the system comprises a parameter input module which is used for receiving and preprocessing tower design parameters; the population initialization module is used for randomly generating a population and adapting to the change of the overall structure layer number of the tower by adopting a variable-length coding strategy; the finite element modeling and analysis module is used for constructing a parameterized finite element model for individuals of each population based on a finite element platform and performing finite element analysis; the algorithm optimization module is used for calculating the total cost and penalty term of each individual, and then taking the total cost of the tower as an optimization target, and using an improved genetic algorithm to complete optimization iteration; and the result output module is used for outputting an optimal individual parameter and a total cost optimal value when optimization iteration reaches the maximum evolutionary algebra or meets a convergence condition. The manufacturing cost of the tower can be remarkably reduced on the premise that constraint conditions such as strength, stability and frequency are met.

The invention relates to the technical field of electric digital data processing, in particular to a finite element modeling method and system for a trampoline net surface, and the method comprises the steps: carrying out the dynamic and static pressure testing of a target drop point of the trampoline net surface through the balance weight of each specification, and obtaining the stress load of the target drop point; determining the load direction of the target drop point by using the unit vector and the static tension value of the deflection spring and the pressure gradient of the target drop point; dividing the trampoline net surface into a plurality of load areas by utilizing the stress load and the load direction of the target drop point, and obtaining a load area sequence by utilizing the average value of the stress load of the load areas; and determining the unit size corresponding to each load area by using the number of the drop points of each load area in the load area sequence to obtain a finite element model of the trampoline net surface. According to the technical scheme, the simulation analysis precision of the finite element model on complex working conditions such as asymmetric impact and multi-point stress is improved, and the reliability of trampoline net surface deformation analysis and safety evaluation is enhanced.

The invention relates to the technical field of ship equipment, in particular to a method for calculating the impact resistance of a diesel engine turbocharger. Comprising the following steps that finite element modeling is conducted on a rotating part, a gas compressor part, a turbine part and an intermediate bearing part of the turbocharger, and overall model modeling is conducted; modal calculation is conducted on a fixed part, a rotating part and the whole of the turbocharger, and whether the modal of the turbocharger meets the requirement within the rotating frequency or not is analyzed; determining an impact load spectrum of the turbocharger, and converting the impact load spectrum into a time domain impact load; calculating and analyzing that the base bolt only bears the pre-tightening force; calculating and analyzing the overall impact response of the supercharger, including calculating and analyzing the structural strength, the acceleration response and the displacement response; evaluating the structural strength of the supercharger assembly and the impact resistance of the gap between the shell and the blade; through the mode, the shock resistance of the diesel engine turbocharger is accurately and effectively calculated, and the performance of the diesel engine turbocharger in a complex impact environment can be comprehensively evaluated.

The invention discloses a modeling and analysis method for a metal matrix composite crystal plasticity finite element, and particularly relates to the field of metal matrix composites for spaceflight. Comprising the following steps: acquiring EBSD data of a to-be-detected metal-based composite material; identifying a metal matrix phase and a reinforced fiber phase according to the EBSD data; carrying out texture analysis on the to-be-detected metal matrix composite material, and determining grain orientation data; according to the grain orientation data, establishing a finite element model of the to-be-tested metal matrix composite material, and generating a geometric grid; identifying a metal matrix phase and a reinforced fiber phase in the finite element model, and endowing each phase with parameters; according to the crystal plasticity constitutive model, determining the strain of the to-be-measured metal-based composite material; and original crystal plasticity parameters are corrected according to the actually-measured strain and strain, and the metal-based composite material model is obtained. The metal matrix composite model can obtain the grain plastic strain in the plastic deformation process.

This invention discloses a method and hoisting fixture suitable for the overall hoisting of large fiberglass towers. The method includes: determining the structure, dimensions, and preset hoisting position of the hoisting fixture based on the external dimensions, overall weight, and local components of the fiberglass tower; determining the binding method between the fiberglass tower and the hoisting fixture based on the details of the connection between the hoisting fixture and the fiberglass tower; performing finite element modeling analysis on the hoisting fixture to calculate the feasibility of its structure and dimensions, and adjusting the structure and dimensions of the hoisting fixture based on the calculation results; performing finite element modeling analysis on the fiberglass tower, and hoisting the fiberglass tower using the hoisting fixture when the stress and deformation of the fiberglass tower are within a set range. This achieves the goal of hoisting large fiberglass towers as a whole, avoiding segmented hoisting, reducing on-site docking workload and labor costs, and demonstrating strong practicality and operability.

This invention discloses a rapid generation method for rectangular disks suitable for structured meshes. This method simplifies crack propagation calculations of the disk into a parametric fracture mechanics model, enabling the calculation of stress intensity factor and crack propagation life. Specifically, finite element modeling is employed to extract the geometric boundaries of the disk and its partitions, considering the influence of geometric dimensions and boundary effects on crack propagation. Based on coordinate system transformation, using the crack initiation point and stress gradient direction as a reference, the rectangular plate can be accurately located, improving modeling efficiency. This invention simplifies the crack propagation plane into a finite-size rectangular plate. Based on boundary intersection point capture, it achieves high-fidelity equivalence between the rectangular plate model and the actual complex contour of the disk, reducing calculation errors in the boundary region using traditional methods. Furthermore, by extracting the crack-free stress distribution along the crack propagation direction on the rectangular plate, the stress intensity factor at the crack tip and crack propagation life can be calculated using the weighted function method.

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.

This invention belongs to the field of reactor structural mechanics technology, specifically relating to a method for analyzing and evaluating high-temperature bolted connection sealing structures. The invention includes the following steps: selecting the location of the reactor pressure vessel flange and main bolt connection as the object of sealing structure analysis; analyzing and summarizing the influence of gasket data on the deformation and contact surface pressure of various components of the flange bolted connection structure; researching current standards and analyzing their limitations; using the finite element software ANSYS to perform finite element modeling of the reactor pressure vessel flange and main bolt structure; applying loads and constraints to the finite element model of the reactor pressure vessel flange and main bolt structure; calculating the deformation and stress of the structure using different creep and relaxation models; analyzing the relaxation behavior of the high-temperature flange bolted connection structure using experimental methods; and comparing and analyzing the results of the finite element method, the standard method, and the experimental method. This invention enables the analysis and evaluation of the sealing performance of flange bolted connection structures under high-temperature environments.

The invention provides a fastener multi-load state simulation finite element modeling method with one-way compression inhibition. Comprising the following steps: 1) designing a multi-unit collaborative modeling structure; 2) designing an asymmetric load transfer mechanism; and 3) designing a calculation efficiency optimization strategy. The technical problems that in traditional entity unit modeling, computing resource consumption is large, force transmission path simulation is inaccurate, and fastener connection modeling is difficult are solved.

The application provides a wing parachute structure finite element modeling method based on a cable membrane structure, establishes a wing parachute structure single air chamber geometric model; establishes a wing parachute structure primary chord direction folding model and a secondary chord direction folding model; attributes are given to the grid elements, wherein, a film element is selected for a canopy part in the wing parachute structure single air chamber geometric model, a string element is selected for a canopy rope part, and a penalty function method is used to process a contact collision problem between the film element and the string element; a fluid-solid coupling model is established, and wing parachute inflation and deployment simulation calculation is performed. The simulation efficiency is obviously improved, the wing parachute structure model is established and simulation calculation is performed, stress, strain and other parameters of the canopy and the canopy rope structure of the wing parachute can be obtained, and reliable reference is provided for engineering practice.

This invention provides a vehicle forward structural design method, system, electronic device, and storage medium. The vehicle forward structural design method includes the following steps: S1: Constructing the F-S curve for a side pole collision of the vehicle; S2: Designing the corresponding structural components of the vehicle based on the F-S curve to obtain the force transmission path and structure-related data of the corresponding structural components; S3: Using the force transmission path and structure-related data of the corresponding structural components, performing finite element modeling, conducting simulation analysis of the side pole collision safety, and evaluating whether the intrusion displacement S1 along the force transmission path of the corresponding structural component obtained from the simulation analysis meets the preset intrusion displacement S requirement. If it meets the requirement, the vehicle structural design is completed; if it does not meet the requirement, returning to S1 and re-executing S1-S3. This invention enables accurate completion of vehicle structural design under the guidance of the theoretical F-S curve of a side pole collision.

This application relates to the field of vehicle simulation technology, and particularly to a method and apparatus for simulating the compressive instability of vehicle exterior panels. The method includes: performing finite element modeling of the body-in-white to obtain a body-in-white model; dividing the exterior panel into multiple regions and assigning different thickness attributes to each region to obtain a target body-in-white model; applying constraints to the target body-in-white model to obtain a first target body-in-white model, and setting a pressure head on the exterior panel in the first target body-in-white model; establishing a surface-to-surface contact pair between the pressure head in the first target body-in-white model and the exterior panel to obtain a second target body-in-white model; and controlling the displacement of the pressure head based on the second target body-in-white model to perform compressive instability analysis on the exterior panel to generate compressive instability analysis results. This method can quickly and accurately assess the compressive instability of passenger vehicle exterior panels through preliminary simulation, reducing the risk of compressive instability on the sheet metal surface of passenger vehicle exterior panels.

A system for selecting an intraocular lens (IOL) for implantation in an eye includes a controller adapted to selectively execute a finite element model (FEM) and a machine learning module. The controller is adapted to receive input data including one or more biometric parameters of the eye. Based on the input data, a plurality of capsule parameters are extracted via the machine learning module. The controller is adapted to determine an axial displacement factor, in part, based on the plurality of capsule parameters via the FEM. The axial displacement factor takes into account the predicted axial offset of the IOL after implantation in the eye. When calculating lens constant parameters using the FEM and machine learning module, the axial displacement factor can be incorporated into the final IOL power.

The invention belongs to the technical field of oil and gas field development engineering, and particularly relates to a conglomerate reservoir horizontal well perforation completion discrete element modeling method. The method comprises the following steps: extracting a conglomerate contour of a target area; taking the conglomerate contour of the extracted target area as a constraint boundary, generating a plurality of discrete small ball particles to fill the interior of the conglomerate contour and the residual matrix area, and further generating a conglomerate discrete element model; the method comprises the following steps: acquiring field perforation well completion data of a horizontal well in a target area, and converting the field perforation data to generate a horizontal well shaft wall unit containing perforations; the field perforation completion data at least comprise perforation depth, perforation aperture, perforation density, wellbore diameter and wellbore length parameters. Through the conglomerate reservoir perforation horizontal well fracturing simulation technology, the limitation of a traditional homogeneous model is broken through, and accurate reduction of the heterogeneity of a real reservoir is achieved.

This invention discloses an intelligent decision-making system for precise water allocation in agricultural irrigation districts based on crop water requirement coefficients. The system comprises three main modules: hardware acquisition and execution, software algorithms and modeling, and digital twin simulation and decision-making. These modules operate in a closed-loop logic of acquisition, processing, simulation, decision-making, execution, and feedback. The hardware module employs a four-dimensional collaborative acquisition, dual-mode transmission, and edge computing scheme. The software module incorporates algorithms and adaptation rules such as dual-factor coupling and dynamic water requirement coefficient correction. The digital twin module completes instruction issuance and parameter correction through full-element modeling, LOD optimization, and multi-objective decision-making. This invention, through dual-path feedback, digital twin collaboration, and multi-algorithm coordination, combined with dynamic water requirement coefficient correction, terraced field spatial adaptation, and soil water-salt coupling modeling, accurately matches plot requirements, balancing water conservation, crop adaptation, and energy consumption, thereby reducing irrigation district management costs and adapting to complex irrigation district operations.

The invention relates to the technical field of combination of bridge building finite element modeling and an artificial intelligence large model, in particular to a finite element modeling error diagnosis and automatic correction method and system. The method comprises the following steps: constructing a pre-training finite element large model and a structured finite element error corpus; receiving finite element modeling error reporting information input by a user, and judging an error type corresponding to the error reporting information based on the pre-trained finite element large model and the structured finite element error corpus; searching a matched candidate repair scheme in a structured finite element error corpus according to the error type; integrating and optimizing the candidate repair schemes through a pre-trained finite element large model to generate a target correction scheme; and outputting the target correction scheme to a user side to complete diagnosis and automatic correction of finite element modeling errors. The problems that finite element error reporting information is obscure and difficult to understand, and engineers are difficult to position quickly are solved.

The invention discloses a method for predicting the dynamic fatigue life of a fused salt storage tank. The method can be used for simulating the stress and deformation conditions of the fused salt storage tank in the heat charging and discharging process and analyzing and predicting the fatigue life. The invention relates to the technical field of adiabatic compressed air energy storage, in particular to a dynamic fatigue life prediction method for a fused salt storage tank in a heat storage subsystem. According to the method, through finite element modeling, dynamic fluid-solid coupling simulation and cyclic loading calculation and in combination with the fatigue life prediction theory, the structural weak area of the tank body in the dynamic process is determined, and a theoretical basis is provided for structural optimization of the tank body. According to the invention, the stress-strain dynamic distribution rule of the fused salt storage tank in the salt charging and discharging process can be comprehensively simulated, so that the fatigue life of the storage tank under the cyclic load effect can be predicted, and the test cost can be saved for the structural optimization of the storage tank.

The application discloses a finite element modeling method of an optical fiber cable, adopts an equivalent bar beam combined model, simulates the contact between optical fibers by using a compressible and inextensible bar element, processes the optical fibers as a composite cross-section beam element, simulates the tension of the optical fibers in the actual cable winding process according to the actual cable winding condition, models and solves layer by layer, and finally completes the modeling of the optical fiber cable. The method solves the problem that the existing optical fiber cable modeling method is prone to not converging in the solving of the contact element, and cannot analyze the stress and distribution of the multiple-turn optical fibers in the cable, greatly improves the simulation speed, can intuitively reflect the actual cable winding condition and calculate the internal stress, and further effectively improves the work efficiency in engineering.

The invention relates to the technical field of vehicles, and discloses a structural data determination method and related equipment for a vehicle door limiter installation area, and the method comprises the steps: determining initial structural parameters for installing a vehicle door limiter according to the installation demand of the vehicle door limiter and historical design experience; vehicle door metal plate data, vehicle door interior and exterior decoration data, vehicle door limiter data and vehicle body data are obtained, finite element modeling is conducted on a vehicle door limiter according to the vehicle door metal plate data, the vehicle door interior and exterior decoration data, the vehicle door limiter data and the vehicle body data, and a target finite element model is obtained; according to the target finite element model, carrying out finite element analysis on the rigidity of the vehicle door limiter mounting point, the vehicle door shaking impact capacity, the vehicle door excessive opening capacity and the vehicle door fatigue capacity, and verifying the rationality of the initial structure parameters; and in response to the fact that the rigidity of the vehicle door limiter mounting point, the vehicle door shaking impact capacity, the vehicle door excessive opening capacity and the vehicle door fatigue capacity meet preset standards, the initial structure parameters are determined to be reasonable.

This invention relates to a finite element model assembly method and system based on the DMIG principle. The method includes: Step S1: Performing finite element modeling on the original structural model according to the structural composition and analysis requirements, and extracting specified component models; Step S2: Remodeling the extracted component models according to functional needs to obtain reconstructed component models; Step S3: Assembling and analyzing the reconstructed component models with the remaining structural model based on the DMIG principle. The method provided by this invention improves the accuracy and efficiency of local component analysis.

The present application belongs to the technical field of mechanical and electrical equipment fault maintenance, and particularly relates to a mechanical and electrical equipment fault online simulation system. The system comprises an online simulation module, which is used for completing mechanical and electrical equipment modeling and realizing model reproduction and operation simulation. The mechanical and electrical equipment modeling refers to establishing a finite element model of the mechanical and electrical equipment structure based on a finite element modeling program. The model reproduction refers to establishing a system virtual database for saving the established mechanical and electrical equipment model. The operation simulation includes simulation of structural operation and simulation of parameter state change. The system further comprises a fault generation module, which is used for establishing a fault data set and completing fault parameterization and injection. The present application is mainly used for solving the problems that current mechanical and electrical equipment fault training has limited coverage, cannot effectively express various dynamic characteristic parameters of the mechanical and electrical equipment in the mechanical and electrical fault occurrence process, and the visualized content is limited to structural damage expression, thereby providing a basis for realizing online fault simulation teaching.

The present application relates to the technical field of magnetic element modeling and control, and particularly relates to a multi-factor magnetic core loss prediction method based on machine learning. The method first acquires the magnetic flux density data of the magnetic element, extracts its distribution characteristics and shape characteristics, and realizes excitation waveform recognition by constructing a classification model; secondly, a temperature index correction term is introduced based on the Steinmetz equation to establish a temperature-sensitive loss model; further, the entropy weight method and statistical analysis are used to evaluate the importance of multiple factors; an integrated learning model of random forest and LightGBM is used to construct a magnetic core loss prediction model; and a single-objective optimization model is established by combining differential evolution and simulated annealing algorithm with the objectives of minimum loss and maximum magnetic energy transmission. The method improves the generalization ability and prediction accuracy of the model, can adapt to the modeling needs of magnetic core loss under multiple material, multiple waveform and multiple working condition conditions, and is suitable for application scenarios such as high-frequency magnetic element design and power electronic system optimization.

The invention discloses a method for predicting accumulation of multiple hail impact damages of a composite radome, and belongs to the technical field of composite mechanics and structural mechanics. The method comprises the following steps: firstly, establishing a hail model by adopting a smoothed particle hydrodynamics (SPH) method so as to accurately simulate the impact crushing behavior of the hail model; secondly, performing refined finite element modeling on the composite panel and the honeycomb sandwich structure of the radome, and introducing a progressive damage evolution model based on a Hashin criterion and fracture energy; the core of the method is that a stress field, a damage variable and a deformation field which are obtained by previous impact simulation are used as initial conditions to be imported into subsequent impact analysis, so that accurate transmission of a damage state under multiple impacts and real simulation of an accumulation process are realized. According to the method, the problems that the damage history cannot be reflected by traditional single-time impact analysis, the grid dependence is high and the like are effectively solved, the accuracy and efficiency of multi-time impact damage prediction can be remarkably improved, and a reliable tool is provided for achieving anti-impact design and life evaluation of the radome.

A flexible thin-wall crossed roller bearing multi-target parameter optimization method relates to the technical field of bearing design, and comprises the following steps: 1, establishing a parameterized system model containing a shaft system, a thin-wall crossed roller bearing and a box body assembly relation, the bearing model being determined by geometric and assembly parameters; 2, carrying out finite element modeling on the inner / outer ring of the bearing, and carrying out polycondensation on the degree of freedom of an interface to obtain an equivalent stiffness matrix; 3, inputting working conditions and material parameters, and setting a design variable feasible region and constraints; 4, coupling a mapping matrix to solve load distribution, calculating the maximum contact stress and the life damage rate, and constructing a dual-objective optimization model; 5, performing test design to obtain response data, and performing multi-target algorithm iterative optimization to obtain a Pareto optimal solution set; and 6, screening the solution set, and outputting a structure parameter combination meeting the requirement. The method can solve the problems that in the prior art, it is difficult to consider calculation efficiency and ferrule flexibility effect precision, and it is difficult to conduct rapid iterative optimization on roller load distribution and life / contact stress indexes.