135 results about "Finite element analyse" patented technology

The invention relates to the technical field of coal mine disaster monitoring, in particular to a gas coal mine goaf coupling disaster monitoring method, an electronic device and a storage medium, and the gas coal mine goaf coupling disaster monitoring method comprises the following steps: obtaining comprehensive data of a goaf through a sensor network, and carrying out data preprocessing to obtain standardized data; constructing a digital twinborn model through a 3D modeling and geographic information system technology; performing data synchronization and model correction processing on the digital twinborn model, and optimizing parameters and states of the digital twinborn model; constructing a fluid-solid-heat multi-field coupling model through a computational fluid mechanics and finite element analysis method; constructing a risk assessment model through an analytic hierarchy process and a fuzzy comprehensive evaluation method; training a disaster early warning model by using a machine learning algorithm based on the standardized data and the risk assessment model; a digital twinborn model, standardized data, a risk assessment model and a disaster early warning model are integrated, and a visual interaction platform is constructed. According to the monitoring method, multiple disaster elements can be coupled and dynamically evolved, and the disaster prediction accuracy and timeliness are greatly improved.

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 discloses a biological material mechanical testing method and system based on finite element analysis, and is used for the technical field of data processing method.The biological material mechanical testing method comprises the following steps that a three-dimensional geometric model of a biological material is constructed, the three-dimensional geometric model of the biological material is imported into finite element analysis software, and the finite element analysis software is used for analyzing the three-dimensional geometric model of the biological material; grid division is executed, and material attributes and boundary conditions are set; finite element simulation is operated according to the set material attributes and boundary conditions, stress and strain distribution is analyzed, and grid division and the material attributes are adjusted based on the analysis result; and the adjusted grid division and material attributes are simulated again, a simulation result is verified through experimental data, and meanwhile material composition is adjusted based on the simulation result and a verification result. According to the method, each step can be completed according to preset time and quality standards, and deep understanding of the simulation process and prevention of potential problems are enhanced.

The invention is suitable for the technical field of vehicles, and provides an automobile bumper parameter determination method and system, and the method comprises the following steps: constructing an automobile bumper with different curvature radiuses and a three-dimensional simulation model of a whole automobile, and dividing the three-dimensional simulation model into a plurality of units through employing a finite element analysis method, so as to simulate the stress distribution and deformation in a collision process; configuring collision parameters, wherein the collision parameters comprise a collision speed, a collision angle and a collision object; simulation software is operated, the conditions of bumpers with different curvature radiuses in the collision process are simulated, a collision simulation result is recorded, and the collision simulation result comprises the deformation condition and energy absorption information of the bumpers; preliminarily determining the curvature radius range of the automobile bumper based on the collision simulation result; and the measurement precision and the measurement stability of the radar in the automobile bumper within the curvature radius range are determined, and the optimal curvature radius range is determined. According to the invention, while the collision performance of the bumper is ensured, the normal work of the radar sensor is also ensured.

The invention discloses a planetary gear system digital twin model updating method based on deep reinforcement learning. The planetary gear system digital twin model updating method comprises the steps of S1, simplifying a planetary gear system; s2, describing the kinetic model by using a lumped parameter method, and constructing a planetary gear train oscillatory differential equation set; s3, a frequency response function family is calculated through finite element analysis, and a planetary gearbox rigid-flexible coupling model, namely a digital twinborn body, is constructed; s4, vibration response of the planetary gearbox shell under the stable rotating speed is obtained through a vibration signal collecting device; s5, defining an action space and a state space, and establishing a reinforcement learning environment; s6, solving the oscillatory differential equation set to obtain a simulation response, and constructing a reward function according to the simulation response; step S7, setting neural network parameters; step S8, optimizing by using a deep reinforcement learning algorithm; and step S9, loop iteration is carried out, the optimal physical parameters of inversion are output, and updating of the digital twinborn body is realized.

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 discloses a finite element analysis simulation and neural network prediction-based component one-dimensional simulation calculation method and system, relates to the technical field of one-dimensional simulation, and is used for solving the technical problems of large calculation amount and low simulation efficiency of the existing three-dimensional simulation technology. The component one-dimensional simulation calculation method based on finite element analysis simulation and neural network prediction comprises the steps that a first heterogeneous system is determined; establishing a three-dimensional geometric model of each component by using COMSOL software; performing thermal simulation on each component by using COMSOL software to obtain three-dimensional simulation data of each component; training a neural network by taking the three-dimensional simulation data as a data set for training the neural network; after training is finished, a neural network prediction model is obtained; inputting simulation data of a to-be-calculated component into the neural network prediction model, and outputting characteristic parameters of the corresponding component by the neural network prediction model; and inputting the characteristic parameters into a one-dimensional simulation platform, and carrying out component calculation by the one-dimensional simulation platform according to the characteristic parameters.

The invention discloses a standard component design effectiveness evaluation method. The method comprises the following steps: determining form design parameters, material characteristics and a production process flow according to a standard component design scheme; determining original morphological parameters and material attributes of the original processing material according to the production process flow, and applying the original morphological parameters and the material attributes to the finite element model; the production process flow is simulated through process simulation software, and state parameters of the standard part in the whole machining and forming period are obtained; driving the finite element model to enter processing and forming dynamic performance analysis of the standard component based on the state parameters to obtain multiple performance indexes of the standard component; and evaluating the plurality of performance indexes based on preset performance index requirements to obtain an evaluation result of the design effectiveness of the standard component. By physically simulating the production process of the standard component and performing finite element analysis on the whole cycle of the production process, the effectiveness of the design of the standard component is extracted and evaluated, and a designer can conveniently optimize the standard component in the design stage.

The invention provides a floating dock lightering analysis method which comprises the steps that finite element models of a ship to be lighted and a bearing beam are established in finite element analysis software, the bearing beam is arranged on a bearing trolley and can move along with the bearing trolley, and a plurality of cushion blocks used for supporting the ship are arranged on the bearing beam; calculating the reaction force of each cushion block, and arranging the reaction force to form a reaction force distribution diagram; judging whether the bearing beam with the deformation degree exceeding the allowable standard exists or not; in the lightering process, a plurality of typical stowage working conditions are selected, overall stress analysis is conducted on the floating dock under the typical stowage working conditions, and a floating dock stowage scheme is determined; a finite element model of the floating dock is established, a plurality of typical stress working conditions are selected in the lightering process, and finite element analysis is conducted on stress distribution and deformation of the floating dock structure under the typical stress working conditions. According to the technical scheme, the calculation efficiency and simulation precision of the floating dock lightering process can be effectively improved, and the safety of the ship during floating dock lightering is better ensured.

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 invention provides a ship structural strength digital simulation verification method and device. The method comprises the following steps: constructing a three-dimensional digital model of a ship structure according to a ship design drawing and a design specification; setting load and boundary conditions according to the operation environment and design requirements of the ship; carrying out finite element division on the constructed three-dimensional digital model by adopting finite element analysis software, and carrying out finite element analysis calculation according to set load and boundary conditions to obtain mechanical responses of stress and strain of the ship structure; and according to a finite element analysis result, checking and evaluating the structural strength of the ship, and if the requirement is not met, carrying out optimization design on the three-dimensional digital model, and carrying out finite element analysis and strength checking again. The problems that an existing ship structure strength checking method is insufficient in model precision, low in calculation efficiency and not high in checking result credibility are solved.

Introduced are a method, a software apparatus, an electronic device, and a storage medium for simulating inerter using finite element analysis. The method involves: acquiring structural parameters of an inerter; simulating the mechanical properties of racks on rigid rods and flywheels within the inerter using the structural parameters and a finite element platform; formulating constraint equations and transformation formula to simulate translational-rotational conversion and inertia amplification mechanism of the inerter; integrating the force and constraint information to achieve the finite element simulation of the inerter. The finite element simulation method for the inerter addresses the challenge of lacking “inerter units” and the inability to simulate inertia components in general finite element software platforms. It also overcomes the technical bottleneck of real-time dynamic coupling simulation between inerter and complex engineering structures. This may effectively promote the design, optimization, and application of inerter in the vibration control of large-scale engineering structures.

The invention relates to the field of dynamic jump behavior simulation analysis of a thin-wall arch structure, in particular to a thin-wall arch structure finite element approximate calculation method and a lightweight system. The invention particularly provides a thin-wall arch structure finite element approximate calculation method and a lightweight system, and the method comprises the steps: carrying out one-time quasi-static equilibrium path analysis, obtaining a characteristic value closest to zero of each increment step, recognizing characteristic values before and after sign change, carrying out two-time perturbation finite element analysis, and carrying out two-time perturbation finite element analysis; the method comprises the following steps of: obtaining an approximate transient dynamic jump parameter and a feature vector, obtaining an approximate jump parameter and a feature vector at a saddle point based on a feature value interpolation closest to zero, finally obtaining an approximate transient jump response through a Gaussian hyper-geometric function, and proposing a Python / C-based hybrid programming method to realize the lightweight of a finite element analysis system. And the calculation cost and the analysis difficulty of the flexible shallow arch saddle point transient jump analysis can be effectively reduced.

The invention provides a support-free formwork system for a post-cast strip and a construction method, and relates to the technical field of building construction. The support-free formwork system for the post-cast strip and the construction method comprise the following steps that S1, on the basis of BIM model data, a variable density method topological optimization algorithm is adopted for formwork unit design, a lightweight structure of a modular formwork is generated through a parametric modeling technology, and a finite element analysis method is applied to verify the structural strength; and generating a parameterized template layout scheme. Through combination of a variable density method topological optimization algorithm and a parametric modeling technology, lightweight design of a template unit is realized, the material consumption is reduced on the premise of ensuring the structural strength, the design reliability is ensured through verification of a finite element analysis method, and the processing logic breaks through a traditional empirical design mode and has a good application prospect. A heuristic path planning algorithm and a laser positioning system work cooperatively, the three-dimensional assembly precision is improved, the mechanical connection stability is guaranteed through a torque control method, and a space self-locking network is formed.

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 mainly relates to a post-accident injury assessment method for introducing a driver posture feature human body model, and belongs to the field of intelligent automobile safety. The method comprises the steps that a driver measures and fills in posture parameters by himself, and posture characteristic data of the driver are obtained; based on the obtained driver posture characteristic data, constructing a driver personalized human body model in human body model software; driver characteristic joint points and data and vehicle kinematics parameters are obtained through a vehicle-mounted sensor; through information of the key nodes, human body model software is imported to correct the posture of the driver; and importing the data into finite element analysis, and predicting a detailed injury result of the driver after collision through vehicle kinematics parameters based on a personalized human body model. By adopting the method, more accurate and detailed after-accident driver injury information can be output, and more accurate driver posture data and injury data support can be provided for a vehicle safety protection system.

The invention provides a method, device and equipment for exciting a single-mode guided wave in grounding flat steel, and belongs to the technical field of engineering structure detection, and the method comprises the steps: building a two-dimensional section model of the detected grounding flat steel through finite element analysis software, defining boundary conditions for the width and thickness in the two-dimensional section model, and carrying out the mode analysis and solving of the grounding flat steel. Performing statistics to obtain frequency-wave number data; based on frequency-wave number data, a phase velocity frequency dispersion curve and a group velocity frequency dispersion curve are drawn, after a corresponding mode is selected, excitation of specific single-mode guided waves is achieved in combination with a wave structure diagram and the application size and direction of a modulation load, and due to the fact that a two-dimensional section model including a width condition is obtained through finite element analysis, the excitation accuracy of the guided waves is improved. The phase velocity frequency dispersion curve and the group velocity frequency dispersion curve are recalculated, the corresponding wave structure diagram is combined, and the appropriate modal guided wave under the specific frequency is reselected for single excitation, so that the appropriate modal can be more accurately selected, and the defect detection accuracy is improved.

The invention discloses a structure optimization method for prolonging the fatigue life of a crankshaft of a marine diesel engine. The structure optimization method comprises the following steps: developing a single-throw crankshaft modeling analysis plug-in; design parameters are selected, a three-dimensional geometric model of the single-throw crankshaft is dynamically constructed, and finite element analysis is carried out; developing a graphical interface for the dialog box script; seamless connection between the plug-in and the ABAQUS software is realized through development of the registration script; adopting optimal Latin hypercube sampling in a defined range to obtain a pre-calculation sample, developing a batch processing file and a Python script, and using an instruction to drive a single-throw crankshaft modeling analysis plug-in; a Pareto graph is adopted to analyze parameter sensitivity, a pre-calculation sample is screened, a high-precision Kriging proxy model is built, and then the optimal maximum bending stress value of the single-throw crankshaft and the corresponding optimal structure size are searched in combination with a particle swarm algorithm. According to the invention, the problem of low efficiency caused by frequent man-machine interaction when large samples are processed in the prior art is solved.

The invention relates to the technical field of structure modeling, in particular to a multi-scale lattice structure parametric modeling method and device, equipment and a medium. The method comprises the steps that modeling is conducted on a multi-scale lattice structure through SOLIDWORKS software, and a first geometric model is generated; importing the first geometric model into COMSOL software, and adjusting a size variable of the first geometric model to generate a second geometric model; wherein the second geometric model is in a. Stl format, and the second geometric model in the. Stl format is generated by outputting a command stream program of the first geometric model and recompiling the command stream program; importing the second geometric model into MATLAB software, and identifying a constraint surface and a loading surface of the second geometric model through the MATLAB software; and performing finite element analysis on the second geometric model through MATLAB software according to the constraint surface and the loading surface to obtain the stress distribution condition of the multi-scale lattice structure.

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.

Disclosed are various embodiments for machine learning- and artificial intelligence- based connector design and assistance. At least one computing device is directed to access a computer-generated model of an input / output (I / O) connector having a housing and at least one conductive connector, direct execution of at least one machine learning model using the computer-generated model of the I / O connector or data derived therefrom to perform at least one of a finite element analysis (FEA) that generates structural results and a signal integrity (SI) analysis that generates signal integrity results. The at least one computing device determines at least one changed design parameter as a function of at least one of the signal integrity results and the structural results and directs display of at least one user interface comprising the at least one changed design parameter. The computer-generated model can be generated and optimized automatically without human intervention.

The invention discloses a welding structure fatigue reliability analysis method under the action of non-Gaussian random load, which comprises the following steps of: carrying out quantitative treatment on each parameter of a pipeline welding structure to obtain a plurality of quantitative samples representing the uncertainty of each parameter of the welding structure; performing finite element analysis on the pipeline welding structure in finite element software according to the quantitative sample, and determining a dangerous point in the pipeline welding structure; obtaining the fatigue life corresponding to the dangerous point; constructing a database according to the quantized sample and the fatigue life, and training a support vector regression model according to the database in combination with a Bayesian optimization method; and the fatigue life of the target pipeline welding structure is obtained by using the support vector regression model, and reliability analysis of the target pipeline welding structure is realized according to the fatigue life of the target pipeline welding structure in combination with a UIS-RC method. By means of the method, reliability analysis can be conducted on the pipeline welding structure under the non-Gaussian load effect under the uncertain condition.

The present invention provides a method and system for simulating and analyzing the structural strength of a building. The method comprises: receiving the structural design data of a target building and the material data of each regional structure, constructing a BIM model of the target building based on the structural design data, and configuring each material data at a corresponding position in the BIM model to obtain a first BIM model; obtaining the use planning data of the target building, predicting the material layout of each region of the target building according to the use planning data, fusing the material layout with the first BIM model to obtain a second BIM model; using a finite element analysis method to perform structural strength analysis on the second BIM model, obtaining structural strength analysis result data and outputting it. The present invention achieves accurate evaluation of the structural strength of a building by integrating BIM technology and big data analysis technology, and provides a more reliable basis for architectural design and structural optimization.

The invention relates to the technical field of electric power, in particular to a mathematical model-based thermal structure ceramic-based material high-flux calculation method, which comprises the following steps of: 1, establishing a mathematical model, and describing thermal structure characteristics of thermal expansion, thermal conduction and stress distribution; 2, carrying out numerical simulation by using computational fluid mechanics and a finite element analysis method; step 3, performing high-throughput data processing and analysis through automation and parallel computing technologies so as to evaluate the performance of various material design schemes; and 4, experimental verification: carrying out selective experimental verification on a numerical simulation result to optimize the accuracy and practicability of the mathematical model. According to the mathematical model-based high-throughput calculation method for the thermal structure ceramic-based material, the mathematical model and the high-throughput calculation method are introduced, so that the design efficiency and the success rate of the thermal structure ceramic-based material are remarkably improved, and the test development period and the cost expenditure are reduced.

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 modeling a mathematical model of a motor taking into account inductance harmonics, which relates to the technical field of motor drive and control. A mathematical model taking into account mutual inductance harmonics between an excitation winding and an armature winding and self-inductance harmonics of an excitation winding in a synchronous rotating coordinate system is constructed, and other current differential terms in the AC and DC axis voltage equations and the excitation winding terminal voltage equations are decoupled. The method has clear ideas, is easy to understand and is convenient to operate. The method fully considers the mutual inductance harmonics between the excitation winding and the armature winding and the self-inductance harmonics of the excitation winding, and can accurately reflect the induced pulsating voltage of the excitation winding existing in an electric excitation flux switching motor. At the same time, when the mathematical model is used to simulate the motor control strategy, the use of a finite element analysis method can be avoided, and the simulation time can be saved while ensuring the control simulation accuracy.

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 valve structure simulation method and device based on finite element analysis and a readable storage medium, and belongs to the technical field of valves, the simulation method mainly comprises a multi-physics field coupling method, control equations of a plurality of physics fields are simultaneous to obtain a control equation set, and the control equation set comprises a physics field parameter array corresponding to the physics field; the control equation set comprises a fluid mechanics equation, a damp-heat conduction equation and an elastic mechanics equation, a unified equation set is formed, and then discretization processing is carried out; performing discretization to convert a continuous partial differential equation into an algebraic equation set; for a transient problem, a display or implicit time integration scheme is adopted to perform time discretization on a simultaneous equation. An apparatus includes a memory, a processor, and a computer program. A terminal program for executing the method is stored in the storage medium. Factors such as fluid flow, damp heat conduction and structural mechanics can be considered at the same time, the simulation real-time performance is improved by integrating an advanced method and an optimization strategy, and the precision is improved while the working efficiency is ensured.