33 results about "Finite element analyse" patented technology

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.

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 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 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 invention relates to the technical field of fan impeller blade optimization, in particular to a wing type centrifugal fan impeller blade optimization method and system. The method comprises the steps that ventilator structure design is conducted on a draught fan according to user requirements, and a three-dimensional model of an impeller is obtained; obtaining impeller material parameters and operation condition parameters of the designed ventilator; establishing a finite element simulation model by utilizing finite element software according to the acquired parameters and the three-dimensional model; calculating the structural strength of the ventilator based on the finite element simulation model to obtain a finite element analysis result; and fan impeller blade optimization is carried out based on a finite element analysis result. A high-stress and large-deformation area, caused by insufficient supporting of reinforcing ribs, of the outer edge of the impeller is accurately positioned through finite element analysis, and blindness of traditional experience design is broken through.

The invention relates to the technical field of finite element simulation testing, in particular to a support hanger vibration stress state analysis method based on finite element analysis, which comprises the following steps: step 1, creating a three-dimensional model of a steam-water pipeline system comprising a support hanger; 2, finite element software is imported, a spring unit, thermal displacement boundary conditions and connection rigidity are finely defined, and a high-fidelity finite element model is established; 3, statics analysis and modal analysis are carried out, and stress, strain, inherent frequency and vibration mode under the action of gravitational acceleration, pipeline internal pressure, pipeline operation temperature and pipeline displacement load are obtained; and 4, based on the material strength and the vibration test frequency, judging the model precision and reliability, and if not, optimizing the model parameters. According to the method, boundary conditions and model parameters are finely defined, and verification and correction are performed by using experimental data, so that the simulation precision of the model is remarkably improved, and the model can be reliably used for identifying and analyzing the load of the support hanger.

This invention relates to the field of hydro-generator technology and discloses a finite element analysis method for movable guide vanes. The method includes: 1. establishing an analysis solid model containing three movable guide vanes; 2. setting nonlinear contact at the contact points of the three movable guide vanes; 3. setting an association between two separate movable guide vanes; 4. setting boundary conditions; 5. obtaining the required data after calculation. This method restores the true stress state of the guide vanes and solves the problem of large deviations in calculation results from traditional single guide vane models.

The invention discloses a generalized Hamilton symplectic neural network dynamic response analysis method for an engineering structure. A sinchinger propagation operator is embedded in forward propagation of a neural network, so that the geometric structure and energy consistency of the system is kept; on this basis, a conservative dissipative double-branch network structure is constructed, a conservative branch keeps a track by using a symplectic propagation generation structure, and a dissipative branch independently depicts damping and external load effects, so that unified modeling of conservative and non-conservative systems is realized. An equation residual error and an energy regular term are constructed through an automatic differential technology, and unsupervised training can be realized without real trajectory data. According to the method, a coupling interface of a finite element generalized Hamilton neural network is established, mass, damping, stiffness matrixes and load vectors obtained through finite element analysis are mapped into a generalized Hamilton form, and high-precision dynamic response prediction of complex engineering structures such as stiffened wallboards is achieved.

An analogue simulation method for the oxidation behavior of a C / SiC composite material component comprises the following steps that A1, Abaqus software is used for modeling the component, space coordinates of all integration points of the component are obtained, and an oxidation starting surface is designated; a2, writing a Python program, dividing grids based on a Delaunay algorithm, calculating the shortest distance from any integral point to all oxidation starting surfaces, and outputting the shortest distance; a3, compiling a C / SiC composite material oxidation analysis Umat subprogram based on Abaqus software by adopting a Fortran language, and reading shortest distance information; and A4, based on an existing C / SiC composite material oxidation diffusion mathematical model, a C / SiC finite element analysis model is established, and the oxidation expansion process of the component under different loads and temperatures is obtained.

The invention provides a heavy steel plant structure design optimization system, which is characterized by comprising a plant classification module used for classifying plant structure design schemes; the expert empirical rule module is used for setting expert empirical rules and establishing an expert empirical rule database; the hard constraint condition module is used for setting hard constraint conditions and establishing a hard constraint condition database; the parametric modeling module is used for constructing an initial model by using a parametric modeling method; the finite element analysis module is used for establishing a finite element model based on the initial model by utilizing finite element analysis software; the optimization module is used for carrying out loop iteration optimization on the finite element model by utilizing a genetic algorithm on the basis of expert empirical rules and hard constraint conditions to obtain an optimization result; and the result display module is used for displaying the optimization result. The heavy steel plant structure design optimization system overcomes the defects in the prior art, has reliability and practicability, and is suitable for economical efficiency optimization of large-span heavy steel industrial plants.

The application discloses a kind of based on InSAR and finite element analysis building three-dimensional deformation inversion method and system. Including according to deformation rate abnormal period extraction LOS direction cumulative deformation variable;According to radar, building and so on Characteristic screening target building on PS point;Based on deformation rate abnormal period historical data, preliminary judgment deformation cause;Based on numerical simulation analysis under the constraint of SAR data;Establish the absolute coordinate point vector data of numerical simulation node grid, convert absolute coordinate to geographic coordinate;Convert directional deformation into LOS direction deformation variable;Calculate the continuous deformation result of numerical simulation result, compare the difference rate of measured PS point LOS direction deformation and simulated inversion LOS direction deformation by once linear fitting model;Based on once linear fitting result and expected degree modify numerical simulation condition setting, optimize simulation result.The application can solve the problem that InSAR inversion system cannot determine the absolute three-dimensional deformation data of building target.

This invention relates to the fields of water conservancy engineering monitoring and computer technology, and discloses a finite element parallel computing method and system for real-time inversion of dam seepage field. The method includes: creating a main process and sub-processes, where the main process is responsible for parameter input, measurement point data acquisition, and result output, and the sub-processes are responsible for finite element analysis; acquiring a finite element model of the dam seepage field, calculating the entropy value of the grid cells, and dividing the model into multiple sub-regions based on the entropy value; constructing feature vectors for each sub-region, applying a spectral clustering algorithm to determine the optimal resource allocation scheme, and allocating the sub-regions to GPUs or CPUs for processing; performing inter-process communication through a shared memory mode; and dynamically adjusting the resource allocation strategy based on the calculation results and performance indicators using a chaotic-deterministic coupling optimization mechanism, calculating entropy-driven intelligent task decomposition, spectral clustering-driven heterogeneous resource allocation, and chaotic-deterministic coupling iterative optimization, thereby realizing real-time monitoring of the dam seepage field.

This invention discloses a finite element analysis method for a spring friction pile driving model in a single pile driving process. First, a single pile driving finite element model of the pile driving process is established. Based on the actual pile driving process, the pile driving model is simplified to include: hammer core, replacement hammer, replacement ring, pile, and friction body, modeled according to component dimensions. Preprocessing: The 3D model is imported into ABAQUS software, and material properties are set for each component. For the analysis step setting, this model uses the Dynamic, Explicit analysis step, setting the pile driving time to 0.1 s and enabling the large deformation option. The contact type is set to face-to-face contact, the tangential friction coefficient is selected as 0.35, and the normal action is set to hard contact by default. Boundary conditions are set, with the initial boundary being the initial velocity input and the constraint boundary being fixed at the pile bottom. Mesh generation is also set. Solution: Simulation is performed in the ABAQUS solver. Post-processing: The mechanical response results of the pile driving system are analyzed, and the velocity, hammer force, and pile top displacement responses of the elements at the pile height strain detection points are verified and checked.

The invention discloses a complete multi-chip module (MCM) interconnection reliability analysis method. The method comprises MCM three-dimensional automatic modeling, load condition application, interconnection reliability analysis under an MCM alternating current working state, interconnection reliability analysis under transient heat, interconnection reliability analysis under multiple parameters and MCM interconnection reliability evaluation and design guidance. The core adopts an ANSYS parameterized design language to realize three-dimensional automatic modeling of a high-integration dual-channel MCM chip. Secondly, on the basis of the atomic flux divergence theory, interconnection reliability analysis of the MCM multifunctional chip under alternating current, thermal stress and multi-parameter changes is achieved through a finite element analysis method. Compared with a traditional experimental method, the method can perform coupling analysis on attributes such as temperature, line width, current and material, has the advantages of high accuracy, high efficiency, strong operability and the like, can effectively predict the interconnection reliability of the chip, provides important reference for layout design of the chip, and is an important measure for guaranteeing the reliability of the MCM chip.

The invention provides an epoxy pouring high-frequency transformer thermal circuit model construction method, a calculation method and a system.The epoxy pouring high-frequency transformer thermal circuit model construction method comprises the steps that analysis is conducted on the basis of an obtained structural model of an epoxy pouring high-frequency transformer, and a three-dimensional thermal circuit of the epoxy pouring high-frequency transformer is constructed; based on the three-dimensional thermal circuit, thermal circuit parameters of the epoxy pouring high-frequency transformer are calculated; and substituting the thermal circuit parameters into the three-dimensional thermal circuit of the epoxy pouring high-frequency transformer to obtain the thermal circuit model of the epoxy pouring high-frequency transformer. According to the method, the three-dimensional thermal circuit of the epoxy cast high-frequency transformer is constructed through analysis based on the obtained structural model of the epoxy cast high-frequency transformer, so that the problems of simulation failure and long simulation preparation time caused by unreasonable mesh generation of simulation software during finite element analysis in the prior art are solved.

This invention discloses a long-term safety evaluation method for high dam projects based on a data- and mechanism-driven approach, relating to the fields of hydraulic engineering and geotechnical mechanics. The method includes: constructing an integrated high dam-dam foundation model using professional modeling software based on geological survey data and high dam construction data, and conducting finite element analysis; simultaneously acquiring model constraints, initial mechanical parameters, and on-site displacement and stress monitoring data of the dam body; inputting the above conditions and parameters into the model for trial calculation to verify their rationality; simultaneously, relying on the monitoring data, obtaining optimized mechanical parameters through machine learning algorithms; after the model verification is successful, calculating the dam body displacement and stress using the optimized parameters; if unsuccessful, returning to remodel and recalculate; comparing the error between the model calculation values ​​and the on-site monitoring values; if the error meets the threshold, performing displacement and stress prediction; otherwise, recalculating, ultimately achieving an accurate evaluation of the long-term safety of the high dam project. This invention improves the engineering safety of the dam body.

The present application belongs to the technical field of fatigue test, and particularly relates to a loader structural part fatigue reliability test device and test method, the test device comprising a front rigid bridge, a front rigid bridge support, a rear rigid bridge, a rear rigid bridge support, a traction oil cylinder and a traction oil cylinder support; the front rigid bridge is symmetrically provided with a front frame connecting structure and symmetrically provided with a front ear plate, two front frame connecting structures are located between two front ear plates, the round shaft portions at the two ends of the front rigid bridge are respectively supported on a front rigid bridge support, and the front rigid bridge and the front rigid bridge support are gap fitted; the rear rigid bridge is symmetrically provided with a rear frame connecting structure and symmetrically provided with a rear ear plate, two rear frame connecting structures are located between two rear ear plates, the two ends of the rear rigid bridge are respectively supported on a rear rigid bridge support, and the rear rigid bridge and the rear rigid bridge support are gap fitted. The test device can effectively verify the fatigue reliability of the structural part of the loader under single working condition, and provide test support for finite element analysis.

The present application relates to the technical field of computer simulation analysis, and particularly relates to a plate shell structure grid division method and device, electronic equipment and storage medium, the method comprising: obtaining a feature structure image of a to-be-detected plate shell; identifying the feature structure image based on a preset deep learning feature recognition model to obtain a region feature recognition result of the to-be-detected plate shell; determining a typical feature region and an atypical feature region of the to-be-detected plate shell according to the region feature recognition result, determining a first grid division strategy of the typical feature region, and performing grid division on the typical feature region based on the first grid division strategy, and performing grid division on the atypical feature region based on finite element software, thereby solving the problem of low finite element analysis grid quality qualification rate and low work efficiency caused by the excessively complex geometry of the plate shell structure in the related art, improving the typical feature region grid division quality and the efficiency of finite element analysis.

The invention discloses a composite material nonlinear mechanical constitutive model construction and finite element analysis method, and belongs to the field of finite element analysis. The method comprises the following steps: defining an orthotropic elastic-plastic constitutive model; calculating a numerical value of the orthotropic elastic-plastic constitutive model by adopting a return mapping algorithm, and calculating a finally converged target elastic strain, a target plastic strain and a target effective stress; based on a plastic mechanical calculation mode, determining a consistent tangent stiffness matrix without considering the damage; and embedding the target elastic strain, the target plastic strain, the target effective stress and the consistent tangent stiffness matrix without considering the damage into the damage model to determine a consistent tangent stiffness matrix coupled with the orthotropic elastic-plastic damage, and obtaining a numerical value of an orthotropic elastic-plastic damage constitutive model to perform finite element calculation analysis. According to the scheme, the constitutive model with orthoanisotropy, elastoplasticity and damage coupled is constructed, and the prediction precision of the model is improved.

The invention belongs to the technical field of solid engine nondestructive testing and finite element analysis, and relates to a solid engine finite element analysis method based on CT image fusion modeling, and the method comprises the following steps: S1, carrying out key part CT step-by-step scanning on a defect high-incidence area of a solid engine to be detected, and obtaining a real CT image of a defect part; s2, constructing a section model of a to-be-simulated part, simulating CT data of an unscanned area, and generating a simulated CT image; s3, fusing the real CT image and the simulation CT image to generate a triangular patch mesh model; s4, the triangular patch mesh model is imported into 3-matic software, and a volume mesh model capable of being used for finite element analysis is generated; and S5, importing the volume mesh model into Abaqus finite element analysis software, and carrying out health state evaluation. According to the method, the CT image generated through simulation is fused with the real CT image, so that the detection cost and the technical difficulty are effectively reduced.

The invention discloses a building three-dimensional deformation inversion method and system based on InSAR and finite element analysis. Comprising the following steps: extracting LOS-direction accumulated deformation quantity according to a deformation rate abnormal period; pS points on a target building are screened according to characteristics of radar, buildings and the like; preliminarily judging the deformation cause based on the historical data of the deformation rate abnormal time period; carrying out numerical simulation analysis based on SAR data constraint; establishing absolute coordinate point vector data of a numerical simulation node grid, and converting absolute coordinates into geographic coordinates; converting directional deformation into LOS direction deformation quantity; calculating a continuous deformation result of a numerical simulation result, and comparing the difference rate between the LOS direction deformation of the actual measurement PS point and the LOS direction deformation of the simulation inversion through a linear fitting model; numerical simulation condition setting is modified based on the linear fitting result and the expectation degree, and the simulation result is optimized. The method can solve the problem that the InSAR inversion system cannot determine the absolute three-dimensional deformation data of the building target.

This invention provides an intelligent design method, device, and server for a bridge high-pier skid-over system, relating to the technical field of bridge engineering high-pier construction equipment design. The method includes: interacting with the user through a dialog box interface of the skid-over system to collect design parameters; performing logical integrity verification on the design parameters; upon successful verification, performing parallel output processing based on the design parameters to generate corresponding CAD construction drawings and model files; importing the model files into finite element analysis software; and generating a target structural finite element analysis model of the skid-over system by parsing and executing the instructions in the model files. This invention can significantly improve the efficiency of drawing and model generation.

The application provides a charging pile load radiation disturbance noise monitoring method, comprising: acquiring real-time current data and magnetic core internal magnetic flux density values in the operation of the charging pile, determining an initial current threshold of the saturation degree of the magnetic core, and calculating a deviation value of the magnetic flux density from a preset saturation threshold to obtain a saturation deviation value; according to the saturation deviation value, the magnetic field distribution intensity of the magnetic core under the current load is identified by using a finite element analysis method, and the degree of weakening of radiation suppression is judged to obtain a radiation weakening multiple; according to the radiation weakening multiple, the real-time waveform data of the noise signal generated by the internal circuit of the charging pile and received by the magnetic core detection is processed, and the trigger point of the electromagnetic unstable cycle is determined; the magnetic core configuration value is adjusted according to the offset amplitude prediction value to restore the radiation intensity control, the real-time calibration noise fluctuation level is identified, and the attenuation effect of the electromagnetic unstable cycle is monitored in the calibration process to obtain the optimized compatibility performance value.

The invention provides a design method of a high-rigidity template of an injection molding machine based on topological optimization, and belongs to the technical field of structural optimization design of injection molding equipment. The method comprises the steps that an initial solid plate three-dimensional model of a movable mold plate is obtained and preprocessed, and a sub-model containing geometric dimensions, a mold mounting surface and a tiebar stress surface is established; calculating stress distribution and deformation of the template under the action of the mold clamping force through finite element analysis; based on the obtained analysis result, material distribution optimization is carried out on a template design space by using a density-based SIMP topological optimization algorithm, and an optimization result is obtained under stress and deformation constraint conditions by taking mass minimization and structural flexibility minimization as optimization targets; and finally, reconstructing and verifying the optimized template structure to obtain a design model of the high-rigidity template. The topological optimization algorithm is introduced, finite element analysis and template structure design are combined, and the template rigidity and the structural strength are remarkably improved.

Embodiments of the present disclosure provide a modeling method based on electron backscatter diffraction data and an electronic device, the modeling method comprising data preprocessing and coarsening, structure optimization and boundary definition, controlled generation of grain boundary layer, and mesh integration and output. A constrained morphological reconstruction algorithm is used to start from a seed unit, perform controllable inflation growth within the boundary constraint mask, and form an explicit grain boundary layer with a width that can be precisely defined by the user. Finally, based on the optimized coarsened grain map and the explicit grain boundary layer, a regularized mesh file that can be used for finite element analysis is generated. Through the strategy of "constraint first, reconstruction later", an explicit grain boundary model with a clear geometric width can be efficiently constructed, providing a high-quality mesh basis for studying the influence behavior of grain boundaries at the microscale.

The application belongs to the technical field of finite element numerical analysis, and particularly relates to a modular hexahedral mesh model construction method for a taper thread structure of an extruding machine, which firstly acquires characteristic parameters of a target taper thread, and then processes the parameters by using a commercial finite element software: an original mesh entity of a single pitch is constructed by drawing and combining a cylindrical ring mesh and a transition mesh; after being scaled by an equal ratio to match a target size, an overall structure original mesh covering a full length of the thread is formed by arraying and merging in an axial direction; based on an accurate geometric expression of the constructed taper thread profile, node coordinate deformation of the above mesh is driven by a linear interpolation algorithm, so that it accurately matches a target geometric shape, thereby automatically generating high-quality hexahedral mesh models of inner and outer taper threads. The method avoids tedious work of manual mesh division of a complex taper thread structure, and significantly improves the efficiency and model accuracy of finite element analysis of a taper thread connecting structure of a perforating system of a heavy extruding machine.

The invention relates to the technical field of hoisting, and discloses a lifting lug checking method which is applied to electronic equipment, a plurality of lifting lugs are arranged on a hoisted object, and the method comprises the following steps: determining coordinates of the plurality of lifting lugs in a three-dimensional digital model of the hoisted object, and determining the weight and centroid coordinates of the hoisted object by analyzing the three-dimensional digital model. And calculating the load of each lifting lug based on the preset length of the lifting rope, the coordinates of the plurality of lifting lugs and the weight and centroid coordinates of the lifted object. And based on the load of each lifting lug, carrying out finite element analysis on the simplified three-dimensional digital model of the lifted object to realize checking of each lifting lug. According to the method, finite element analysis is carried out on the basis of the simplified three-dimensional digital model, the calculation amount of finite element analysis can be reduced, and therefore the lifting lug checking time is shortened, and the lifting lug checking efficiency is improved. The invention further discloses a lifting lug checking device and equipment, a storage medium and a program product.