779 results about "Finite elemente analyse" patented technology

The present application relates to the technical field of mold structure design. Disclosed are a mold structure design optimization method and apparatus. The method comprises: performing parametric modeling on a three-dimensional model of a laser cutting die to obtain an adjustable parameter set; performing cutting die geometric feature extraction and feature classification to obtain a feature classification result; performing adaptive multi-scale mesh division to obtain a multi-scale finite element analysis model; performing multi-physics coupling analysis to obtain stress distribution data, deformation data and temperature field distribution data; performing variance analysis to obtain target impact parameters, and, on the basis of the target impact parameters, constructing a multi-objective optimization model; by means of a non-dominated sorting genetic algorithm, solving the multi-objective optimization model to obtain a Pareto optimal solution set; and determining, from the Pareto optimal solution set, target optimization structural parameters of the laser cutting die, thereby improving the optimization efficiency while ensuring the calculation accuracy, and achieving the overall performance improvement of the laser cutting die.

A method for predicting in-situ leaching effects of sandstone-type uranium mining deposits after blasting is provided, which comprises: based on a finite element analysis platform, establishing an HJC rock-blasting constitutive model, and carrying out a blasting numerical simulation; calibrating a cloud map of blasting crack damage by using a Kriging interpolation algorithm; establishing a COMSOL multiphysics model; establishing a coupling interface between the COMSOL multiphysics model and PHREEQC based on MATLAB, and optimizing a cycle duration and a time step; performing a geochemical reaction calculation and saving results, running COMSOL files, and inputting the results of geochemical reaction calculation into PHREEQC to obtain a dynamic cyclic iterative simulation; dynamically correcting migration coefficients of uranyl complexes by integrating an LSTM neural network, and stopping the cycle to output multi-scale dynamic simulation results of migration of uranium.

The invention discloses a mine roadway deformation data real-time analysis system based on edge calculation, which relates to the technical field of intelligent sensing and data analysis fusion, and comprises a data acquisition module for acquiring roadway deformation initial data through a sensor, simulating a deformation field evolution process by adopting a finite element analysis method, and analyzing the deformation field evolution process; the feature extraction module is used for extracting key stress distribution parameters from the non-uniform field distribution features, if the parameters exceed a preset threshold value, the key stress distribution parameters are marked as a risk concentration area, a monitoring position candidate set is determined, and the signal quality evaluation module is used for evaluating the monitoring position candidate set according to the monitoring position candidate set. Acquiring a signal-to-noise ratio and an integrity data quality index of a sensor signal, and performing priority grouping on the monitoring points through a clustering algorithm to obtain a dynamic priority evaluation result; according to the mine roadway deformation data real-time analysis system based on edge calculation, intelligence, real-time performance and high reliability of mine roadway deformation monitoring are achieved.

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

The invention relates to the technical field of precision manufacturing, and discloses a high-precision numerical control machine tool thermal error compensation method and system.The method comprises the steps that temperature data of key parts of a machine tool are collected in real time through a sensor array, and temperature distribution is generated through preprocessing; simulating a heat propagation path based on finite element analysis to obtain thermal deformation distribution; quantizing contribution values of multiple heat sources to cutter position offset by adopting a neural network model; when the contribution value exceeds a threshold value, activating a cooling system compensation mechanism to generate an offset correction amount; the correction is fused into a machine tool control system to optimize a tool path, and the thermal error model is dynamically updated based on the deviation between the actual machining position and the predicted deformation; and finally, a self-adaptive control strategy is generated in combination with the working condition parameters and the heat source contribution value, and accurate control over thermal errors is achieved through real-time feedback circulation. The method can solve the problem of low machine tool thermal error control precision in the prior art.

The invention provides a structural design optimization method and device for an underground station constructed through a shield tunneling method, and belongs to the technical field of underground engineering.The method comprises the steps that site geological survey data of a station trepanning area are obtained and input into a three-dimensional finite element model, and an initial three-dimensional model is constructed; analyzing a dynamic load effect in a construction stage by combining a load reduction theory to obtain a target three-dimensional model; finite element analysis is carried out based on the target three-dimensional model, and the maximum principal stress of the edge of the opening is extracted; then comparing the maximum principal stress with the allowable stress of the material, and performing load reduction iteration under the condition that the maximum principal stress is greater than the allowable stress of the material to obtain a final load reduction coefficient; and taking the final load reduction coefficient, the trepanning center coordinate and the stress concentration factor as the input of a two-dimensional reinforcement model, generating an equivalent live load, calculating the reinforcement amount, and automatically realizing the reinforcement optimization design. The construction efficiency is improved and the engineering cost is reduced while the safety and stability of the structure are ensured.

The invention discloses a cutterhead structure design method combining topological optimization and finite element analysis, and belongs to the technical field of aerospace high-performance cutting tool design and manufacturing. The technical problems that a traditional cutter head depends on experience design, and rigidity, chip removal and heat stability are difficult to balance are solved. According to the method, a parameterized model is established, multi-working-condition loads including cutting loads, dynamic excitation and thermal-mechanical coupling are defined, a topological optimization technology with multi-working-condition weighted flexibility minimization as a target and a material volume fraction as a constraint is adopted, and a material optimal distribution cloud picture is generated based on a variable density method; geometric reconstruction and engineering semantic interpretation are carried out on an optimization result, and a material enrichment region is converted into engineering characteristics such as an internal reinforcing rib and a variable spiral transition structure, so that a lightweight high-performance conceptual model is formed; finally, through multi-working-condition finite element verification and manufacturing manufacturability analysis, a final design scheme meeting the requirements for strength, rigidity, dynamic characteristics and thermal stability is obtained through iteration.

The invention discloses a curved surface porous structure modeling simulation method and system for finite element analysis, and belongs to the technical field of mechanical engineering simulation, and the method mainly comprises the steps: carrying out the initial grid division of a target curved surface part, and obtaining a grid node set covering a curved surface; according to a preset hole center coordinate, three closest grid nodes are automatically searched in the grid node set, a local reference plane is established, and the hole axis direction is determined; generating an offset sketch plane in the normal direction of the reference plane, projecting the hole center to the sketch plane, drawing a circular sketch, and executing a stretching and cutting command to form a hole; and circularly executing the operation to realize automatic generation of multiple holes on the curved surface. And finally, the porous structure is subjected to grid division again, so that subsequent operation is facilitated. According to the method, the modeling process is combined with parameterization analysis and an automatic process, the efficiency and stability of porous modeling of the complex curved surface structure are remarkably improved, and a basis is provided for finite element pretreatment of the complex curved surface structure.

The invention discloses a polygonal and quadrilateral mesh automatic subdivision method based on deep reinforcement learning, relates to the field of computational geometry and mesh generation, and constructs an automatic subdivision framework fusing geometric priori knowledge and a data driving strategy. According to the method, nine basic topology filling templates covering triangles to hexagons are predefined as discrete action spaces, and continuous geometric segmentation is converted into a sequence decision problem; learning a mapping relation between the polygon state characteristics and the optimal template selection strategy by using a deep Q network, and balancing exploration and utilization through a dynamic epsilon-greedy mechanism; and in combination with a vertex number priority scheduling strategy and a multi-dimensional quality award function, guiding an intelligent agent to adaptively generate a high-quality quadrilateral grid. According to the method, full-automatic and high-robustness subdivision of the complex polygon area is achieved, the grid orthogonality and the length-width ratio quality are remarkably improved, manual intervention is avoided, and the method is suitable for engineering scenes such as finite element analysis.

The invention belongs to the technical field of computational mechanics and artificial intelligence crossing in civil engineering, and discloses a foundation pit retaining wall deformation prediction method based on a physical information neural network, and the method comprises the following steps: 1, building a retaining wall physical information neural network agent model based on multi-source data fusion; 2, building a displacement-force inversion model of the retaining wall; and 3, carrying out iterative coupling solution on the support system. According to the method, mixed training is carried out by fusing physical rules and field measured data, so that the physical information neural network agent model follows a basic mechanics principle and can also fit specific engineering practice, the prediction result is more reliable, and compared with traditional finite element analysis, the efficiency is improved by several orders of magnitude; therefore, parameter optimization and real-time safety evaluation based on a large amount of calculation become possible.

The invention discloses a finite element-based carbon steel corrosion modeling method, which relates to the technical field of computational mechanics and finite element analysis, and comprises the following steps: S1, acquiring real-time data from an environment sensor, acquiring an initial parameter set containing temperature, salinity and material attributes, and determining initial corrosion rate distribution; s3, if the deviation value exceeds a preset threshold value, a parameter coupling relation is processed through a genetic algorithm, and an optimized parameter set is obtained and used for correcting model input; according to the finite element-based carbon steel corrosion modeling method, the precision and reliability of corrosion prediction in a complex environment are remarkably improved, and a scientific basis is provided for carbon steel structure maintenance.

The invention relates to the technical field of finite element simulation analysis, and particularly discloses an end-to-end finite element analysis system based on multi-agent collaboration, which is characterized in that a hierarchical multi-agent collaboration architecture taking a central coordinator agent as a core is constructed, a whole-system general standard decoupling interface system is matched, a knowledge base capable of being dynamically updated is built, and the end-to-end finite element analysis system based on multi-agent collaboration is established. Precise intention analysis and task scheduling and execution of the whole simulation process are achieved in combination with a large language model, the inherent limitation of a simple series architecture of level agents in the prior art is broken through, and the problems that in an existing scheme, the coupling degree between the agents is high, interfaces are not uniform, expandability is poor, and the system performance is poor are solved. The core defect that complex industrial simulation scenes such as multi-working-condition parallelism and multi-physics field coupling cannot be flexibly adapted is overcome, complete decoupling and flexible expansion of all agents are achieved, and compared with an existing level series architecture, the system has remarkable architecture advancement.

The invention belongs to the field of airplane strength fatigue life prediction, and particularly relates to an equivalent stress-based airplane typical structure multi-axial fatigue life prediction method. The method comprises the steps of determining a typical aircraft high-lock connection structure test piece; determining a fatigue load spectrum; constructing a finite element model of the typical high-lock connection structure of the aircraft; determining a dangerous part of the airplane typical high-lock connection structure test piece in finite element analysis; determining the maximum principal stress at the dangerous part of the typical airplane high-lock connection structure test piece in finite element analysis; determining the fatigue life of the test piece; fitting S-N curve data under different stress ratios according to the fatigue life of the test piece and the load spectrum stress ratio, and determining a corrected S-N curve; determining an equivalent stress-life equation of the typical high-lock connection structure of the aircraft, and substituting the maximum principal stress and fitting parameters of the corrected S-N curve into the equivalent stress-life equation to calculate and obtain a fatigue prediction life; and correcting the fatigue prediction life according to a test result.

The invention discloses a bridge anti-fatigue performance analysis and optimization method and system based on finite element analysis. The method comprises the following steps: constructing a bridge finite element basic model and a random fleet time-varying load spectrum, and executing damage-rigidity dynamic coupling iterative calculation; a fatigue sensitive area is automatically identified through the strain energy density gradient, a high-precision sub-model is generated, a basic model stiffness matrix is updated in real time through a sub-model calculation result, and a fatigue evolution cloud picture containing a stiffness degradation track is generated; and finally, identifying a damage hotspot based on the cloud picture, and generating an optimization strategy containing a traffic current limiting threshold and a structure reinforcement opportunity by using a genetic algorithm. According to the method, the problem of prediction deviation of traditional static analysis is solved by simulating the reverse influence of damage on rigidity and internal force redistribution, and accurate evaluation and scientific decision-making of the whole life cycle of the bridge are achieved.

The invention provides a stay cable tensioning process simulation optimization design method and system based on finite element analysis, and the method comprises the steps: building a finite element model of a tower beam structure of a target cable-stayed bridge; the target cable-stayed bridge is a cable-stayed bridge constructed by a support method and provided with asymmetric leaning towers; based on the finite element model, stay cable tension process simulation of the tower beam structure under different jump tension sequences is carried out, and time-varying mechanical response of the tower beam consolidation system is obtained; and according to the time-varying mechanical response, the cable force effectiveness and the tower beam deformation continuity are taken as targets, a tension sequence is optimized through a multi-point coincidence approximation strategy, and simulation design of automatic iterative optimization is carried out. According to the stay cable tensioning process simulation optimization design method and system based on finite element analysis, the optimal jump tension sequence is solved in the simulation model, the evolution amplitude of the stress behavior of the tower beam in the stay cable tensioning bridge forming process is reduced, the evolution smoothness of the stress behavior is improved, and the phenomena of hard sudden change, discontinuity and even internal damage are prevented.

The invention relates to the technical field of machining simulation, in particular to a composite material ring piece low-stress machining method based on finite element analysis. The method comprises the following steps: constructing a two-dimensional finite element model of the composite material ring piece; grid division is carried out on the geometric model, and the structure is decomposed into units; setting boundary conditions and loads of the simulation model; defining material attributes including density, thermal conductivity, specific hot melting, elastic modulus, Poisson's ratio, plasticity and creep; setting processing and heat treatment parameters, including processing procedures, processing amount, heat treatment temperature and time; the simulation model is operated, and the response of the geometric model under the given boundary and loading condition is obtained; and analyzing an operation result, summarizing an influence rule of machining parameters and heat treatment setting on machining stress, and optimizing a machining scheme. According to the method, a stable component low-stress machining scheme can be rapidly obtained through an analogue simulation technology for the machining process of the composite material ring piece, and high-precision machining of the large-size fiber reinforced composite material ring piece is achieved.

The invention relates to the technical field of digital twinning, and discloses a cultural relic virtual restoration simulation method and system based on digital twinning. The method comprises the following steps: constructing a cultural relic digital twinborn body fusing geometric morphology and physical attributes; collision contact between the virtual tool and the model is detected in real time; calculating stress, deformation and counter-acting force of the contact area through real-time finite element analysis; the reactive force is decomposed into joint torque and high-frequency vibration signals of multi-degree-of-freedom force feedback equipment, and force tactile feedback dynamically matched with material characteristics is provided; and physical parameters and geometric morphology of the model are updated according to the stress overrun condition, so that visual simulation of damage accumulation and fracture is realized. The system comprises a digital twinning construction module, a user interaction interface module, a physical simulation engine module, a force feedback rendering module and a model state updating module. Through a high-frequency closed-loop physical-force sense coupling mechanism, the authenticity, immersion and training reliability of virtual repair are improved.

The invention discloses a tunnel over-break and under-break prediction method based on numerical simulation and actual measurement data mixed training, which comprises the following steps: step 1, determining RHT constitutive model parameters corresponding to five types of surrounding rocks through physical and mechanical parameters of a rock foundation in combination with a state equation of an RHT constitutive model and an original numerical value of the RHT constitutive model; 2, based on constitutive model parameters, finite element analysis calculation is carried out, and a tunnel back break simulation data set based on a numerical simulation test is obtained; 3, tunnel construction site blasting parameters and tunnel average overexcavation amount are collected to serve as an actual measurement data set; and step 4, carrying out mixed training on the simulation data set and the actually measured data set, and constructing a tunnel back break prediction model. According to the tunnel back-break prediction method based on numerical simulation and actual measurement data mixed training, the problems that a tunnel back-break prediction model is weak in generalization ability and poor in migration ability due to the fact that an existing prediction method is large in calculation amount and small in data sample set due to a numerical simulation method are solved.

The invention discloses a coal mine slope stability analysis method based on numerical simulation. The coal mine slope stability analysis method comprises the following steps: acquiring strength and permeability data of a rock-soil body through a field investigation point location, processing by adopting a statistical analysis method, obtaining initial parameter statistical characteristics, simulating parameter random distribution of the rock-soil body in a three-dimensional space, and obtaining a heterogeneous parameter distribution field; a finite element analysis method is adopted to calculate stress-strain response of the slope under external load and hydrological conditions, a local stress concentration area is determined, and a slope stability index is obtained; acquiring a local deviation value of a corresponding parameter distribution field for an area where the slope stability index exceeds the range, adjusting the deviation value through an iterative algorithm, and determining an optimized parameter distribution field; and performing finite element analysis again based on the optimized parameter distribution field, judging distribution positions of potential instability points, and determining a final risk boundary according to the distribution positions of the potential instability points. According to the method, the scientificity and reliability of slope stability evaluation are improved.

The invention relates to the technical field of warehousing of bulk grains in a horizontal warehouse, discloses a warehousing method and system for bulk grains in a horizontal warehouse, and aims to solve the problems of uneven accumulation, potential safety hazards and low efficiency in an existing method. A three-dimensional warehouse body coordinate system is constructed through multi-dimensional analysis, and spatial density distribution is simulated; establishing a dynamic accumulation model based on density data to simulate a spatial-temporal trajectory, calculating acting force among particles through finite element analysis to obtain stress distribution, and constructing a stability evaluation system; the impurity rate is corrected through a coupling model by utilizing environment parameters of the internet of things, and a stability evaluation result is dynamically compensated by adopting a multi-factor matrix; a deep reinforcement learning algorithm is applied to optimize a control strategy, an intelligent model is deployed at an edge node, and a joint control automation system realizes closed-loop management. According to the bulk grain warehousing device, the uniformity, stability and efficiency of bulk grain warehousing operation are improved.

The invention discloses a method for testing heat treatment residual stress of a bearing ring based on nanoindentation, and belongs to the technical field of stress testing. The method comprises the following steps: establishing a calibration curve, preparing and testing a sample, and calculating residual stress. According to the method, the indentation work-residual stress quantitative calibration curve for the bearing steel is established through finite element simulation, the specific constitutive relation of materials is fully considered in the model, and system errors caused by mismatching of material parameters of a general model are eliminated. The change trend of the residual stress value calculated by the method is consistent with that of a prediction result of finite element analysis, and it is proved that the method can accurately, reliably and quantitatively characterize the residual stress distributed in the microscale after heat treatment.

The invention provides an axial flux motor multi-objective optimization method based on an improved homing religious algorithm. Firstly, key structure parameters are screened through sensitivity analysis, and the optimization range of the key structure parameters is determined; then, sample data is generated by adopting improved Latin hypercube sampling, and a data set is constructed through finite element simulation; then, performing automatic optimization on smooth factors of the generalized regression neural network based on a He-horse optimization algorithm, and establishing a high-precision agent model; improving a horizon algorithm by adopting Tent chaotic mapping, non-dominated sorting and congestion degree distance, and combining the horizon algorithm with the proxy model to carry out multi-objective optimization to generate a Pareto solution set; and finally, selecting an optimal motor parameter according to the target weight. According to the method, parameterized finite element analysis, an optimization agent model and an improved multi-target algorithm are deeply fused, so that the global optimization capability is ensured, the optimization efficiency and precision are remarkably improved, and an effective solution is provided for rapid and accurate design of the axial flux motor.

The invention relates to a dynamic simulation method and system for a tooth movement process based on a Type model, and the method comprises the steps: carrying out the data collection of an artificial tooth and a fixed appliance through three-dimensional scanning, and obtaining the three-dimensional data of a tooth jaw structure; performing overlap analysis on the crown root model according to the three-dimensional data to obtain a digital dental model containing periodontal tissues; performing material attribute assignment on an anatomical structure in the digital tooth jaw model according to preset material parameters to obtain a biomechanical tooth jaw model; and performing time recursion iteration on the biomechanical tooth jaw model through finite element analysis to obtain four-dimensional dynamic simulation data for simulating a tooth movement process, so as to provide visual orthodontic process teaching demonstration based on the four-dimensional dynamic simulation data. According to the invention, the dynamic visual simulation of the tooth movement process is realized, the feedback of the Type Dont system can be quantified, and the teaching interactivity is improved.

The invention relates to a geomechanical data visualization method, device and equipment and a medium thereof. The method comprises the following steps: acquiring original data containing rock mass structural characteristics and temperature and humidity environmental parameters, and completing grid division and load and displacement constraint boundary condition setting by adopting finite element analysis to obtain a rock mass stress distribution model; core mechanical parameter evolution of rock mass at different time nodes is simulated based on the model, and a dynamic stress distribution sequence is generated; identifying and marking stress overrun potential event association points through a threshold value, extracting a key time-space change trend, and inputting the key time-space change trend into the time-space dynamic model to obtain a risk prediction distribution diagram containing a risk level, a coverage range and an occurrence probability; and constructing a three-dimensional dynamic view by adopting visual rendering, analyzing a mechanical parameter full-cycle evolution path and geological event association mode, and outputting a three-dimensional dynamic result integrating multi-dimensional information. According to the method, the problems of static data presentation and event association deficiency in the traditional technology can be solved, and the scientificity and the high efficiency of geological engineering analysis are improved.

The invention discloses a building structure explosion multistage early warning and damage assessment integrated analysis method, which relates to the field of building structure safety, and comprises a BIM-FEM model conversion module, an FEM explosion response and damage assessment module, an Internet of Things gas sensor acquisition module, an early warning analysis and grading early warning module and a data storage module. And an efficient automatic model conversion interface between the BIM and the FEM is developed. The interface realizes bidirectional data conversion between the BIM model and the finite element analysis model; a gas explosion load is applied to finite element analysis software, dynamic response and damage of each component under the gas explosion load are studied through numerical simulation, and anti-explosion damage evaluation attributes of each component are formed. The problem of low modeling efficiency of a complex structure in finite element analysis software is effectively solved, and automatic data extraction, model mapping and result write-back between the BIM model and the FEM model are realized.

The invention provides an ultra-thin wing anti-bending performance quantitative evaluation method which comprises the following steps: acquiring geometric parameters and material characteristic data of an ultra-thin wing, constructing a digital twin model by adopting a finite element analysis method, and simulating stress distribution under boundary conditions to obtain initial mechanical response characteristics; the obtained risk assessment matrix is adopted to calibrate the limitation of a static test, and boundary condition constraints are fused to obtain a calibrated anti-bending energy index set; constructing an evaluation framework of a quantitative system through the calibrated anti-bending energy index set, classifying performance levels in different load scenes by adopting a support vector machine algorithm, and determining an overall structure reliability score; and iteratively updating the parameter setting of the digital twin model according to the obtained anti-bending performance improvement scheme, simulating the optimized flight performance, and obtaining the final quantitative evaluation system output.

The invention discloses a modeling method, device and equipment for a sling lifting net blocking system and a storage medium. The method comprises the following steps: acquiring working state parameters of a bearing cable under the overhead line crossing construction working condition, and determining an initial bearing cable curve based on a catenary formula, boundary conditions of suspension points on two sides of the bearing cable and the working state parameters of the bearing cable; constructing a finite element analysis model based on the initial bearing cable curve, and determining stress distribution data and deformation data of the bearing cable based on the finite element model; and under the condition that the stress distribution data and the deformation data meet preset engineering requirements, determining the finite element analysis model as a target mechanical analysis model. The technical effects of accurately simulating the stress and deformation of the bearing cable and guaranteeing the construction safety are achieved.