440 results about "Finite element grid" patented technology

The invention discloses a speed reducer gear box lightweight design method based on topological optimization, and relates to the technical field of gear box optimization. A processing end establishes a three-dimensional parameterized geometric model, performs finite element mesh generation on the geometric model, optimizes material distribution of the geometric model based on a topological optimization algorithm, and optimizes the material distribution of the geometric model; a topological optimization result is parameterized into geometric features, a random generation tool is used for generating a plurality of initial variable sets, a genetic algorithm is used for outputting an optimal variable set, a geometric model is reconstructed according to the topological optimization result and a genetic algorithm result, and after dynamic-static simulation is conducted on the reconstructed geometric model, the optimal variable set is obtained. And evaluating whether the performance of the reconstructed geometric model reaches the standard or not, and if not, optimizing genetic algorithm parameters according to an evaluation result and then cyclically reconstructing the geometric model until the performance of the reconstructed geometric model reaches the standard. The design system intelligently optimizes a local high-stress area, so that the lightweight requirement is met, and meanwhile, the strength and rigidity balance of the structure is ensured.

The invention discloses a visual data-based automatic finite element modeling and performance evaluation method for an existing damaged hollow slab girder bridge. The method comprises the steps of S1, acquiring complete three-dimensional point cloud data of a multi-beam-slab model; s2, based on the three-dimensional point cloud data, extracting key geometric features of the structure by adopting a structure three-dimensional size automatic measurement method fusing plane projection and point cloud distortion correction; s3, for the damaged area of the multi-beam-slab structure, identifying the boundary of the damaged area and the non-damaged area of the multi-beam-slab structure through a point cloud neighborhood point height difference comparison and clustering analysis method, and carrying out detailed spatial position analysis on the damage; and S4, a damage unit set is automatically retrieved in combination with damage positioning quantitative information, and automatic updating of hinge joint damage of the multi-beam-slab structure is achieved through a life-death unit method failure damage area finite element grid. According to the method, automatic finite element modeling and evaluation of the existing hinge joint damage multi-beam-slab structure are achieved, and an efficient and accurate technical means is provided for health monitoring and performance evaluation of a bridge structure.

The invention discloses a hybrid Lp regularization magnetotelluric two-dimensional inversion method based on adaptive weight, and the method comprises the steps: reading magnetotelluric observation data, carrying out the quadrilateral finite element grid discretization of a whole inversion region, building an inversion grid, and building an initial model and a prior model of the inversion conductivity of the inversion region; based on the initial model and the prior model of the inversion conductivity and the magnetotelluric observation data, constructing a mixed Lp regularization inversion objective function comprising an L1 regularization item, an L2 regularization item and a data fitting item; in an inversion iteration process, adaptively adjusting weight factors of the L2 regularization item and the L1 regularization item; and based on the inversion grid, performing magnetotelluric two-dimensional inversion according to the inversion objective function mixed with Lp regularization, the initial model and magnetotelluric observation data, and outputting optimal model parameters of Gaussian Newton inversion to obtain underground electrical structure information. According to the invention, the resolution and accuracy of the inversion result are improved.

The invention provides a fluid-structure interaction vibration simulation and suppression method for a water-jet propeller, and belongs to the field of numerical simulation of computational fluid mechanics. The method comprises the following steps: establishing a finite element model of a water-jet propeller impeller-shafting coupling system; performing dry mode and wet mode comparative analysis on the finite element model by utilizing a finite element method, and verifying the effectiveness of the model; dividing finite element grids of a structural domain and a flow field domain; establishing a fluid-solid coupling model; on the basis of bidirectional fluid-solid coupling numerical calculation, the flow field speed and acting force are solved through CFD, the structure movement speed and displacement are updated, a flow field grid is further updated, flow numerical calculation continues to be conducted, and iteration is conducted till the simulation time ends; flow-induced vibration characteristics are analyzed through post-processing, and the vibration amplitude is restrained by adjusting the mass center position of the impeller airfoil. According to the method, the bidirectional fluid-solid coupling model of the impeller-shafting system of the water-jet propeller is constructed, structural deformation and transient flow field information are directly associated, and the hydrodynamic performance is improved.

The invention relates to a simulation prediction method for the plugging life of a contact element of an electric connector, and the method comprises the steps: building a three-dimensional simulation model of a plug end and a socket end of the electric connector, and defining the material attributes and contact relationships of all parts in the three-dimensional simulation model; performing finite element grid discretization on the three-dimensional simulation model; applying a fixed constraint to the socket end, applying a displacement load for simulating the plugging process to the plug end, and performing statics solution to obtain plugging force in the plugging process of the plug end and the socket end and contact pressure data of the plug end contact piece and the socket end contact piece; and mapping a statics solution result into a fatigue analysis module, and simulating, calculating and outputting a life distribution result of the plug end contact element and the socket end contact element under repeated plugging and unplugging loads. The method has the effect of analyzing the stress-strain state of the internal contact element of the electric connector and the fatigue damage of the internal contact element under repeated plugging and unplugging so as to help monitoring personnel to discover the potential mechanical failure problem in time.

The invention relates to the technical field of digital twinning, in particular to a digital twinning fused power grid fault prediction system and method, and the system comprises a state sensing module, a path deduction module, a twinning mapping module and a prediction execution module. According to the method, multi-source heterogeneous sensing data are fused, a space-time alignment algorithm is executed to construct a structural state tensor, Laplacian operation is combined with a stress wave propagation model to analyze non-rigid deformation characteristics, a load transfer path atlas is generated to reveal recessive mechanical association, Young modulus is dynamically corrected through a finite element grid to form a structural degradation coefficient matrix, and the structural degradation coefficient matrix is obtained. The time sequence difference and the long short-term memory network are combined to capture the equipment degradation trend, the Kolmogov test is used to quantify the fault space-time distribution probability, the power grid equipment jumps from single threshold early warning to multi-physics coupling prediction, the fault prediction space-time resolution and dynamic adaptability are improved, the artificial experience dependence is reduced, and the fault prediction efficiency is improved. And the robustness of the complex working condition system is enhanced.

The invention provides a coal seam hydraulic fracturing parameter dynamic optimization method based on deep learning, and belongs to the technical field of coal seam parameter optimization based on computer data processing. The method comprises the following steps: firstly, acquiring a coal seam slice CT image with spatial continuity; secondly, designing a coal seam structure-physical parameter intelligent sensing model, and performing joint prediction on coal seam image semantic recognition and physical property estimation; then, performing coal seam three-dimensional structure reconstruction and regional layering modeling by utilizing a prediction output result, and performing finite element mesh division and material attribute accurate mapping on the basis to construct a coal seam three-dimensional finite element model; and finally, a coal seam hydraulic fracturing parameter multi-objective optimization problem is constructed, a coal seam physical information embedded agent model is designed, the optimization problem is dynamically solved in combination with a multi-objective evolutionary algorithm, and optimal hydraulic fracturing parameters are obtained. On the basis of deep learning, multi-source information, structural parameters and material attributes are fused, and intelligent development of coal seam hydraulic fracturing design is promoted.

The invention relates to the technical field of ball valve design and simulation, in particular to a three-dimensional simulation design method and system for a ball valve. The method comprises the following steps: performing reference geometric construction based on a ball valve design specification, and performing geometric parameterization to obtain an initial geometric configuration; importing the initial geometric configuration into a finite element analysis platform, and endowing material attributes to obtain a finite element mesh model; performing ball valve working stress analysis on the finite element mesh model to obtain a stress-strain field; performing model fluid domain grid division according to the initial geometric configuration and the stress-strain field to obtain a fluid domain grid; valve opening change setting is conducted on the fluid domain grids, and a CFD calculation model is obtained; internal flow field transient simulation of the ball valve under different opening degrees is conducted on the CFD calculation model, and fluid dynamic parameters are obtained. The dynamic characteristics of the valve under the complex working conditions are accurately captured, and the working performance of the valve under different working conditions is improved.

The invention discloses a cultural relic three-dimensional dynamic scene display system based on a virtual-real fusion technology, and relates to the technical field of mixed reality, and the system comprises a data collection module which obtains original signals of a to-be-displayed cultural relic and a surrounding environment, and generates an environment feature vector and an environment fusion index; the twinborn simulation module is used for generating health state feature vectors of the cultural relics in combination with finite element grids and carrying out prediction simulation on the deterioration state of cultural relic materials; the model creating module is used for creating a three-tense model resource package and generating time axis metadata by adopting a vertex interpolation and mapping mixing technology; the story layout module is used for constructing an environment event mapping rule base, obtaining a ranked trigger event list through priority ranking, and generating a scene script sequence; according to the method, the health state and the degradation process of the cultural relics under different environmental conditions can be dynamically reflected, and three-dimensional scene display changing along with time evolution is provided.

The invention relates to the technical field of data mining, in particular to a software operation and maintenance method and system. The method comprises the following steps: acquiring engineering simulation heterogeneous hardware data, and performing multi-physics field coupling tensor compression to obtain a multi-physics field topology snapshot; finite element grid nonlinear constraint is executed based on the multi-physics field topology snapshot, and a nonlinear contact strategy tensor is obtained; according to a non-linear contact strategy tensor coding structure dynamics intelligent contract, simulation software dynamics credibility verification is carried out, and a dynamics credible chain is obtained; constructing a hydrodynamic vortex model based on the dynamic trusted chain, and performing boundary layer separation simulation flow optimization on the hydrodynamic vortex model to obtain a vortex flow field map; performing explicit dynamic explicit integration on the vortex flow field atlas to obtain a convergence optimization field; and performing phase field damage evolution according to the convergence optimization field to obtain a multi-physics field evolution twinborn body, and deploying the multi-physics field evolution twinborn body. The method can effectively improve the utilization rate of software computing resources.

The invention discloses a three-dimensional physical field real-time prediction method and system based on geometric deep learning and physical constraint, and relates to the technical field of computer-aided engineering and artificial intelligence. The method comprises the following steps: directly extracting native boundary representation data (B-Rep) of a three-dimensional model from a computer aided design system; constructing a heterogeneous dual graph taking a parameterized curved surface as a graph node, skipping finite element grid division, and aggregating local and global topological features by using a graph neural network; in combination with a physical information driving mechanism, a partial differential equation (PDE) residual error is introduced as a loss function for constraint training, and generalization prediction of a novel geometric structure is realized; and finally, the physical field state quantity is predicted through direct regression and is rendered in real time. An incremental reasoning mechanism based on a local topology subgraph is adopted, millisecond-level physical field real-time feedback under design modification is achieved, and the method is suitable for scheme rapid screening and trend prediction in the initial stage of design.

The invention provides a safety coefficient prediction method based on slope three-dimensional finite element analysis and application, and relates to the field of hydraulic geotechnical engineering. Comprising the following steps: inputting a finite element grid, and calculating a geometric topological relation of the three-dimensional finite element grid; the method comprises the following steps: inputting position information and mechanical parameters of a bottom sliding surface and a side sliding surface of a possible sliding block, calculating to obtain a description equation of the possible sliding block, performing cutting calculation by utilizing a sliding surface equation and geometry of a finite element grid to obtain polygons of a boundary surface of the sliding block, decomposing each polygon into triangular grids, and analyzing a stress result based on a slope finite element to obtain a stress result of the boundary surface of the possible sliding block. Calculating stress values of triangular mesh nodes of the boundary surface through line interpolation; integration is carried out on the sliding force and the anti-sliding force of the boundary surface, and the safety coefficient of the possible sliding block body is calculated; according to the method, efficient intersection of the sliding surface and the finite element grid is achieved, geometric processing efficiency is improved, calculation efficiency and calculation accuracy are improved, and the method is suitable for three-dimensional irregular sliding block analysis in the fields of water conservancy, mines and the like.

The invention relates to a core particle thermal simulation finite element mesh generation method based on a neural network. The method comprises a geometric and thermal feature extraction module, a temperature distribution prediction module and an intelligent grid optimization module. The geometric and thermal feature extraction module realizes accurate prediction of chip temperature distribution through tensor construction in combination with multi-scale convolution, pyramid pooling and deformable convolution; the intelligent grid optimization module adaptively optimizes a finite element grid through coupling of thermal gradient and geometric constraint, reduces the number of grid units and improves calculation efficiency. According to the method, deep learning and finite element mesh generation are combined for the first time, a traditional iterative mesh refinement process is replaced by predicting heat distribution through a neural network, the mesh generation speed is remarkably increased, and meanwhile, the thermal simulation precision is kept within 0.8%. The method is particularly suitable for a complicated 2.5 D / 3D chip packaging structure, can effectively cope with thermal management challenges in modern integrated circuit design, and provides a rapid and accurate thermal simulation tool for chip design.

The invention provides a concrete elastic-plastic damage constitutive model construction method and system, belongs to the field of computers, and solves the problems that in the prior art, an integral or gradient enhanced regularization method is adopted to establish a non-local constitutive model, but the two methods require relatively fine finite element grid division, and numerical value implementation is very difficult. Comprising the following steps: 1, determining a damage variable, nominal stress, effective stress and an elastic-plastic damage stress-strain relationship, and decomposing the effective stress according to tension and compression characteristics; 2, in the effective stress space, a concrete elastic-plastic damage constitutive model is established; and step 3, based on an energy regularization method, determining a tensile damage variable, a compression damage variable and a corresponding stress-strain relationship, and in combination with a plastic loading and unloading rule, constructing a concrete elastic-plastic damage constitutive model based on energy regularization. The invention provides the construction method of the PC box girder concrete elastic-plastic damage constitutive model under the non-uniform constraint, and the application range is wide.

The invention discloses a high-pressure die-casting part mechanical property prediction method, device, equipment and medium, and relates to the field of die-casting material performance prediction.The method comprises the steps that a finite element model data file and a porosity result data file are extracted based on a die flow simulation analysis result of a target die-casting part, constructing a finite element mesh model for receiving porosity data; performing porosity data mapping based on the extracted data file and the constructed finite element mesh model, and constructing a finite element simulation mesh model with porosity characteristics; establishing a representative volume element model and carrying out homogenization treatment to obtain a mechanical property parameter card with a porosity material; on the basis of the finite element simulation grid model and the mechanical property parameter card, finite element simulation analysis of the anisotropic mechanical behavior casting with the porosity characteristic is conducted on the target die-casting part to obtain the mechanical property, rapid response can be conducted on the mechanical property of the die-casting part, and the prediction efficiency of the mechanical property of the die-casting part is improved.

The invention discloses a simulation optimization method, device and system for tire multi-rubber modulus matching, and belongs to the technical field of tire simulation optimizing.The method comprises the steps that a tire and a pavement finite element model are built, and the tire and pavement finite element model comprises a three-dimensional tire simulation model and a two-dimensional rigid pavement model; matching a modulus attribute of a rubber material to which each finite element grid of the tire simulation model belongs through an orthogonal test design method, carrying out finite element calculation based on the tire and the pavement finite element model, and calculating multiple groups of stress-strain and strain energy data of target belted layer endpoints of the tire under different modulus attributes; and respectively calculating modulus characteristic values of the tire under different modulus attributes on the basis of the multiple groups of stress-strain and strain energy data of the endpoints of the target belted layer, so as to obtain the optimal modulus ratio of multiple rubber materials of the tire. According to the method, the precision and usability of simulation optimization are improved, the service life of the tire is prolonged, the utilization rate of tire design materials is increased, and the design cost is reduced.

The invention relates to the technical field of simulation, and particularly discloses a finite element simulation method for a steel-concrete mixed structure, and the method comprises the steps: building a finite element model; selecting material parameters and defining a constitutive model; dividing a finite element grid; setting load and boundary conditions; taking the optimized material constitutive parameters as material definition parameters of a formal finite element model; evaluating the critical bearing capacity and ductility performance of the structure; and extracting a displacement field, stress distribution and a load-displacement curve of the structure, and identifying typical mechanical response characteristics of the hybrid structure in elastic, elastoplastic and descending stages. By optimizing constitutive model parameters, high-precision finite element simulation of the whole process from elasticity to damage of the steel-concrete mixed structure is achieved.

The invention belongs to the technical field of engineering simulation data processing, and particularly discloses a finite element grid graph structure construction method and system, a terminal and a medium. Comprising the following steps: analyzing original full-amount grid data exported by finite element simulation, segmenting unstructured grid data into a grid vertex coordinate set and a grid unit mark number set, and constructing a graph edge topological structure corresponding to a grid based on a unit mark number relationship; on the basis, loading physical field data and adopting a tolerance-based coordinate matching algorithm to realize accurate mapping of physical field labels and material attributes with grid nodes; and generating standardized finite element grid graph data which can be directly used for graph neural network processing. By means of the method, high-consistency and high-physical-reliability conversion from the finite element simulation data to the graph structure data is achieved, and the physical field modeling and simulation acceleration capacity based on graph learning is improved.

A method for predicting microscopic holes of an aluminum alloy product and impact on macroscopic service properties includes: casting simulation, i.e., obtaining a casting simulation finite element mesh by dividing, and using casting simulation software to simulate a solidification process of a casting under corresponding process conditions to obtain macroshrinkages of the casting and physical information of each node on the mesh; cellular automata simulation, i.e., simulating microstructure growth by using a cellular automata model to obtain a secondary dendrite arm spacing (SDAS) value at each node of the casting simulation finite element mesh, and the morphology and size of microscopic holes including microshrinkages and microscopic blowholes; mechanical property simulation, and mapping and inputting mesh information of the casting simulation finite element mesh into the mechanical and fatigue property simulation finite element mesh to obtain a mechanical property simulation result; and fatigue property simulation.

The invention discloses a head space positioning method, device and system based on electrical impedance tomography, and the method comprises the steps: constructing a corresponding three-dimensional model according to the basic parameters of a flexible electrode cap, and carrying out the finite element meshing, and obtaining a three-dimensional mesh model; performing electric field distribution calculation on sampling points of the three-dimensional grid model according to a preset calculation rule to obtain corresponding touch electrode response information; generating a sensitive field matrix corresponding to the sampling points and the electrode pairs in the flexible electrode cap according to the touch electrode response information; performing projection matching according to the initial voltage data of the electrode pair and the sensitive field matrix to obtain projection matching information; and performing model training according to the projection matching information and the tensile deformation data of the flexible electrode cap to obtain a voltage feature-space coordinate mapping relation, and analyzing the induced voltage data of the electrode pair to obtain corresponding target coordinate information. According to the method, the voltage change of the flexible electrode cap is obtained and analyzed to obtain the coordinate information, and the positioning accuracy and stability are improved.

The invention relates to the technical field of material analysis, in particular to a crystal plasticity finite element modeling method, a crystal plasticity finite element modeling device, a storage medium and electronic equipment. The crystal plasticity finite element modeling method comprises the following steps: collecting grain information of a given material sample; performing crystal grain division based on the crystal grain information to obtain a crystal grain data file, and determining grid parameters based on a crystal grain with a minimum crystal grain morphology area in the crystal grain information; creating a grain geometric model according to the grain data file, creating a grid model according to the grid parameters, and mapping the grain geometric model to the grid model to obtain a crystal plasticity finite element grid model; and endowing a boundary condition and a constitutive relation to the crystal plasticity finite element mesh model so as to realize crystal plasticity finite element simulation. According to the crystal plasticity finite element modeling method provided by the invention, the modeling calculation efficiency can be improved while the model precision is ensured.

The invention provides a finite element mesh automatic generation method and system based on multi-geometric-form block mapping. The generation method comprises the steps that a key area, a transition area and a non-key area of a target geometric model are determined; automatically segmenting the target geometric model by using a block partitioning mode; wherein a hexahedron block is constructed in the key area, a multi-geometric-form block is constructed in the transition area, and a block in any form is constructed in the non-key area; after the step 2, mapping the hexahedron block to generate a hexahedron mesh, generating the hexahedron mesh by using the multi-geometric-form block according to a pre-mapping rule, and filling the block in any form by using a target algorithm; and performing quality adjustment on the grid file obtained in the step 3, and outputting a hybrid grid file. By adopting the prediction method and introducing a multi-geometric-form partitioning mode, a user can perform hybrid partitioning on a specified key area to realize automatic generation of the block, so that the success rate of block partitioning is ensured, and the iterative calculation amount of automatically generating the block is reduced.

The invention belongs to the field of electromagnetic field numerical solution, and particularly provides a finite element mesh adaptive method for network parameter analysis of a multi-port microwave device, which comprises the following steps: firstly, establishing a geometric structure of the multi-port microwave device, setting simulation frequency, excitation and boundary conditions, and establishing an electromagnetic simulation model; secondly, performing preliminary division and finite element electromagnetic simulation calculation on a computational domain by adopting a tetrahedral mesh to obtain a numerical solution corresponding to each group of excitation, and synthesizing results based on a posterior error estimation method for posterior error estimation; and finally, according to a posterior error indication grid encryption parameter, carrying out simulation calculation again after encryption, and repeating the process until the solution meets the precision requirement. In conclusion, by combining the characteristics of a finite element algorithm and the characteristics of an error estimation algorithm, in the microwave device network parameter analysis process, multiple sets of excited numerical solutions are comprehensively used for posterior error estimation and grid adaptive encryption indication, so that the analysis precision of network parameters is improved.

The invention discloses a method for solving free vibration of a three-dimensional structure under an equal water depth condition, and relates to the technical field of ocean engineering, the method comprises the following steps: discretizing a geometric model of the structure to obtain a finite element mesh model and a boundary element wet surface mesh model; constructing a boundary integral equation based on the boundary element wet surface grid model and a potential flow theory, introducing a finite water depth mirror image Green function without considering a free surface effect, and solving a flow field velocity potential of a structure in the equation under an equal water depth condition; calculating the additional mass generated by the fluid on the structure when the structure freely vibrates in the flow field based on the flow field velocity potential; and obtaining a free vibration equation of the structure according to the finite element mesh model, adding additional mass, and solving to obtain the vibration intrinsic mode and the vibration frequency of each order of the structure in the flow field. According to the method, the simulation requirement for the fluid-solid coupling effect of the structure in actual engineering can be met, simulation calculation can be carried out only by carrying out finite element modeling on the structure, and certain calculation precision is achieved.

Systems and methods for training physics-informed neural network (PINN) surrogate models to model physical problems are provided. The method may comprise coupling, using a processor, one or more convolutional neural networks (CNNs) with a finite element method (FEM). The coupling may comprise calculating, for a finite element mesh comprising a plurality of finite elements, an internal force vector, P, a force vector, F, and a tangent stiffness matrix, KT, using the FEM. Each finite element may comprise one or more finite element nodes. The coupling may further comprise applying a CNN to the finite element mesh to obtain a solution to a physical problem. The CNN may be trained on a loss function, and the loss function may incorporate the internal force vector, P, and the force vector, F.

The invention relates to the technical field of three-dimensional simulation, in particular to a three-dimensional display method and system for landslide simulation and a storage medium. The method comprises the following steps: acquiring multi-source monitoring data of a landslide area; performing noise filtering and spatial interpolation on the multi-source monitoring data of the landslide area to obtain preprocessed landslide monitoring data; performing time-space reference unification processing on the preprocessed landslide monitoring data to obtain time-space alignment monitoring data; performing NURBS curved surface modeling based on the space-time alignment monitoring data to obtain an initial landslide three-dimensional structure model; performing finite element mesh adaptive subdivision on the initial landslide three-dimensional structure model to obtain a dynamic landslide mass mesh model; and acquiring current landslide displacement data. According to the method, the problem that updating of the three-dimensional model is delayed in a traditional method is effectively solved, and real-time performance and accuracy of landslide simulation are ensured.

The invention discloses a fracturing fracture extension simulation method based on a self-adaptive multi-scale phase field model, and relates to the field of oil and gas reservoir renovation, and the method is characterized in that reservoir physical property and rock mechanics parameters are obtained, and a reservoir geologic model is established according to the parameters; dividing the reservoir geometric model into a plurality of finite element grids, and assigning grid attributes of the finite element grids by using the parameters to obtain preset hydraulic fractures in the finite element grids and initial variable values on nodes of the finite element grids; according to a preset position relation between the hydraulic fracture and the finite element mesh, constructing a multi-scale adaptive mesh for dynamic expansion of the hydraulic fracture; establishing a coupling mathematical model of a stress field, a seepage field and a phase field of hydraulic fracturing, and constructing a numerical calculation expression of the coupling mathematical model according to the multi-scale adaptive grid; and based on the numerical calculation expression, solving the coupling mathematical model by taking parameters of reservoir physical properties and rock mechanics and boundary conditions of the multi-scale adaptive grid as constraints to obtain hydraulic fracturing fracture extension simulation results under different reservoir and construction conditions.

The invention provides an automatic pretreatment format conversion method for parachute inflation finite element simulation. The automatic pretreatment format conversion method comprises the following steps: carrying out geometric modeling and finite element mesh division on a canopy and a parachute cord by utilizing Gmsh; a preprocessing format conversion system is developed, grid files and calculation parameters are uploaded, and the conversion system automatically stores, calculates and integrates data and converts preprocessing files into input files needed by finite element calculation; then, finite element simulation analysis of the typical parachute inflation process is carried out through CalculiX, so that the reliability of the automatic conversion function of the pretreatment format is verified; the automatic preprocessing format conversion system suitable for parachute inflation finite element simulation and the graphical user interface of the automatic preprocessing format conversion system are developed, full-automatic processing of files is achieved, the use threshold of a user is lowered, and simulation efficiency and application benefits are improved.

The invention relates to the technical field of bearing life calculation, in particular to a transmission bearing installation pre-tightening amount calculation method and system, and the method comprises the steps: S1, building a finite element mesh model of a transmission housing and a shaft through finite element simulation software based on predefined material attributes; the material attributes comprise elastic modulus, Poisson's ratio and thermal expansion coefficient of the transmission shell and the shaft; s2, based on the actual working condition of transmission assembly life simulation analysis, importing the finite element mesh model of the transmission shell and the shaft into a pre-constructed multi-body dynamics simulation model of the transmission shell, and establishing node connection between the finite element mesh model of the transmission shell and the shaft and a transmission part in the multi-body dynamics simulation model; s3, setting a detection object and a design variable, and adopting a preset strategy to obtain a target mapping curve of the detection object and the design variable; compared with the prior art, the optimal relation between the pre-tightening amount and the service life of the bearing can be quickly determined, so that the service life of the bearing is maximized.

The invention discloses a spherical roller bearing entity simulation method, device and equipment and a medium, and relates to the technical field of wind power generation. According to the scheme, when the finite element mesh model of the spherical roller bearing is constructed, the rollers are connected to the bearing inner ring and the bearing outer ring through the spring units, that is, traditional finite element constraint is replaced with the mode that the rollers are constrained through the spring units, and the conventional constraint limitation in finite element simulation is broken through; accurate analysis of bearing roller contact in a complete machine model is realized; after a complete machine finite element mesh model is generated based on a model of the spherical roller bearing, simulation parameters and loading parameters of the complete machine finite element mesh model are set, the simulation parameters at least comprise a working clearance between a roller and a raceway, that is, contact offset is added to simulate the existence of the radial clearance of the bearing, and the loading parameters of the complete machine finite element mesh model are set. The problem of simulation of play contact of the SRB main bearing under the working condition of high axial force is solved, and three-dimensional balance of physical authenticity, calculation efficiency and engineering applicability is achieved.