97 results about "Finite element analyse" patented technology

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

The invention 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 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 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 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.

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 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.

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

The invention belongs to the field of structure simulation calculation, and particularly relates to a reflector flexible support stress field information reconstruction method in a multi-task Gaussian process. The method comprises the following steps: firstly, determining a boundary condition and a load working condition of a specific reflector flexible support structure; performing grid division on the structure by using finite element analysis software to generate a finite element model containing node and unit information; then, a plurality of state input samples are generated in the value range of the load through Latin hypercube sampling and other methods; and uniformly selecting part of nodes from the nodes of the finite element model as task input. Training data are obtained through finite element analysis, and a graph-based multi-task Gaussian process model is constructed; and calculating a correlation matrix of the state and the task, and determining a log-likelihood function. And adjusting hyper-parameters of the model through an optimization algorithm. And for an unknown state or an unknown task in which stress field information needs to be reconstructed, utilizing the trained model to predict. And realizing reconstruction of stress field information according to a prediction result.

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

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

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

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

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

The present invention discloses a multi-objective optimization design method for a precast concrete stair mold, comprising the following steps: S1: splitting the precast concrete stair mold into multiple mold components; S2: parametrically describing the number and size of each mold component; S3: determining the model plane control points and the plane positions of the mold components; S4: establishing a parametric model of the mold; S5: meshing using finite element software and performing finite element analysis under load conditions; S6: obtaining the maximum lateral deformation of all mold nodes; S7: establishing a multi-objective optimization model for the mold; S8: solving the optimal design scheme of the multi-objective optimization model using the NSGA-II algorithm; and S9: establishing a mold BRep model using OPENCASCADE technology based on the optimized design scheme, and then drawing a graphic in a drawing template file. The method provides a theoretical basis for the rationality of the mold design scheme, and at the same time, provides multiple alternative mold design schemes according to different design requirements, thereby reducing mold material and processing costs.

The present invention relates to the technical field of structural modeling, and particularly relates to a multi-scale lattice structure parameterized modeling method, device, equipment and medium. The method includes: modeling the multi-scale lattice structure through SOLIDWORKS software to generate a first geometric model; importing the first geometric model into COMSOL software to adjust the size variables of the first geometric model to generate a second geometric model; wherein, the second geometric model is in the.stl format, and the.stl format second geometric model is generated by outputting the command stream program of the first geometric model and rewriting the command stream program; importing the second geometric model into MATLAB software, and identifying the constraint surface and the loading surface of the second geometric model through MATLAB software; performing finite element analysis on the second geometric model by MATLAB software according to the constraint surface and the loading surface to obtain the stress distribution of the multi-scale lattice structure.

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

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

The present application relates to the technical field of broadband vibration control, and particularly relates to a broadband vibration control method and device based on an acoustic black hole and a distributed vibration absorber. The method comprises the following steps: constructing a three-dimensional model of the acoustic black hole, and importing the three-dimensional model of the acoustic black hole into finite element analysis software; defining design parameters of the distributed vibration absorber, and establishing a spring-mass-damper system model of a distributed vibration absorber unit; based on a gradient descent method collaborative tuning strategy, the parameters of the acoustic black hole and the distributed vibration absorber are collaboratively optimized to achieve broadband vibration control; based on the finite element analysis results, a mathematical model for analyzing vibration energy transmission and dissipation is used to analyze the transmission path and efficiency of energy between the acoustic black hole and the distributed vibration absorber; and the vibration signal of the acoustic black hole is collected by an acceleration sensor to verify the broadband vibration control effect. The present application not only focuses on the suppression of vibration energy, but also considers the energy dissipation efficiency and lightweight requirements of the system.

The present invention relates to the field of simulation analysis of the dynamic jumping behavior of thin-walled arched structures, and particularly relates to a finite element approximation calculation method and a lightweight system for thin-walled arched structures. Specifically, the present invention proposes a finite element approximation calculation method and a lightweight system for thin-walled arched structures. First, a one-time quasi-static equilibrium path analysis is carried out to obtain the eigenvalue closest to zero at each increment step, identify the eigenvalues before and after the sign change, and carry out two perturbation finite element analyses to obtain approximate transient dynamic jumping parameters and eigenvectors. Based on the eigenvalue closest to zero, approximate jumping parameters and eigenvectors at the saddle point are interpolated. Finally, an approximate transient jumping response is obtained by the Gaussian hypergeometric function, and a Python / C hybrid programming method is proposed to realize the lightweight of the finite element analysis system, which can effectively reduce the calculation cost and analysis difficulty of the transient jumping analysis of the flexible shallow arch saddle point.