16 results about "Topology optimization problem" patented technology

The invention provides a thermal elastic structure joint topological optimization method based on MATLAB and ABAQUS, and belongs to the technical field of thermal elastic structure optimization design. Firstly, finite element models of mechanical loads and thermal loads are established in ABAQUS, and files are exported; then calling an ABAQUS operation model in MATLAB, extracting core data such as nodes, units and a stiffness matrix, and constructing a parameterized thermodynamic finite element model based on an SIMP method; calculating a function value and sensitivity by taking volume minimization as a target and taking global stress and temperature constraint as conditions; and finally, iteratively optimizing the design variables by adopting a moving asymptote algorithm, and obtaining a final topological configuration through a filtering method. Through deep cooperation of MATLAB and ABAQUS, core finite element data of commercial software is extracted at a time for optimization iteration, repeated data generation and interaction are avoided, the calculation efficiency is greatly improved, and an efficient solution is provided for processing the topological optimization problem of stress and temperature constraints under complex heat-force loads.

This invention relates to the field of radiator structure design technology, and provides a microchannel radiator design method based on embedded irregular materials and the obtained microchannel radiator, including: constructing a general mathematical description of the topology optimization problem; obtaining input conditions and dividing the topology optimization design domain; establishing the control equations of the topology optimization model, constructing a dual objective function, and performing sensitivity analysis of the multi-objective function with respect to design variables; solving the topology optimization model, and using filtering methods and projection techniques to obtain material distribution with clear fluid-structure boundaries; obtaining the two-dimensional flow channel configuration of the radiator, performing finite element analysis to obtain the temperature field and velocity field distribution, comprehensively evaluating the heat transfer performance, and determining the two-dimensional flow channel configuration; based on the two-dimensional flow channel configuration, constructing the corresponding three-dimensional model and performing finite element analysis to obtain the temperature field and velocity field distribution, evaluating the heat transfer performance using the PEC criterion, verifying the effectiveness of the method in three dimensions, and obtaining the final topology-optimized radiator configuration.

The invention discloses a structure topological optimization method and device, equipment and a storage medium, and the method comprises the steps: firstly obtaining topological optimization problem data of a target structural member, and inputting the topological optimization problem data into a decision model to obtain a recommended optimization strategy; and then, starting a CAE solver by taking the strategy as a parameter to carry out iterative calculation. In the calculation process, state information representing the optimization process is fed back to the decision model in real time for evaluation. And if the model judges that the strategy needs to be adjusted, updating solving parameters according to an output instruction and continuing iteration until a final optimization result is obtained. The decision model is based on historical case data and can learn complex mapping and adjustment strategies between optimization parameters and results, so that manual intervention is remarkably reduced, and optimization efficiency and result quality are improved. The method can be widely applied to the technical field of industrial design.

The application relates to a fully decoupled movable piezoelectric drive flexible parallel mechanism topology optimization method, which comprises the following steps: obtaining the density field distribution of a flexible parallel mechanism based on participation parameters and through an independent point density interpolation method; constructing a target function based on the density field distribution and taking the sum of expected output displacements of each branch of the flexible parallel mechanism as maximum; modifying the target function based on preset constraints to obtain an initial topology optimization model, wherein the preset constraint conditions comprise the volume fraction of the flexible parallel mechanism, the non-interference between a piezoelectric driver and a main design domain of the flexible parallel mechanism, and the non-rotation of a moving platform in a plane under the action of a load; and solving a topology optimization problem through a gradient-based moving asymptote optimization algorithm based on the initial topology optimization model. Through the application, the problems of input and output coupling effects of the flexible parallel mechanism, reduced motion accuracy and poor controllability can be improved.

This invention discloses a topology optimization method for an electrothermal driven compliant mechanism based on minimum size control. It defines the design domain and boundary conditions of the electrothermal driven compliant mechanism, initializes design parameters, and uses a sequential coupling method to solve the multi-physics structural response of the electrothermal-structural fields. The optimization objective is to maximize the output displacement of the mechanism. By introducing a structural indicator function, minimum size constraint functions for real and empty phase material structures are constructed, establishing a topology optimization model for the electrothermal driven compliant mechanism based on minimum size control. The moving asymptotic algorithm is used to solve the topology optimization problem, determining whether the convergence criterion is met, and finally outputting the optimal topology configuration of the electrothermal driven compliant mechanism. This method effectively suppresses the occurrence of small-sized structures, facilitating processing and manufacturing.

The invention discloses a topological optimization design method for an actual product structure, and the method comprises the following steps: 1, analyzing the demands of a customer, and obtaining an image model of a product based on the demands of the customer; 2, constructing a topological optimization model based on material field series expansion, wherein the topological optimization model is used for reducing the number of non-gradient algorithm variables in product structure design; and a third step of solving a topological optimization problem of a non-gradient algorithm in product structure design based on the non-gradient optimization algorithm of the Kriging agent model. The invention not only can meet the emotion demand of a user, but also has a product structure with perfect mechanical property (light weight), and meets the compound demand of the user on the product function reliability and the emotion demand.

The invention discloses a full-scale functional gradient porous hierarchical structure transient dynamics topological optimization method and system, and belongs to the field of topological optimization design of functional gradient structures. The problem to be solved is how to construct a transient isogeometric analysis method compatible with a traditional finite element method and integrate the transient isogeometric analysis method into a full-scale functional gradient porous hierarchical structure topological optimization problem, and the engineering expandability of an optimization algorithm is improved. According to the method, a self-adaptive growth strategy of projection parameters is constructed, and continuous regulation and control of structure topology in the optimization process are realized. According to the technical key points, a structure isogeometric transient dynamics finite element model is constructed; constructing a functional gradient porous hierarchical constraint and a material interpolation model based on a sharpness parameter adaptive increase strategy, and proposing a transient dynamic topological optimization model of a full-scale functional gradient porous hierarchical structure; constructing a time domain adjoint equation of the topological optimization model; and the optimal anti-vibration design of the functional gradient porous hierarchical structure is obtained. The designed porous structure has good structural performance and functional characteristics, and can meet the requirements of complex engineering environments in the fields of aerospace, deep sea and the like.

The application discloses a flexible tooling design method based on topology optimization, which comprises the following steps: S1, taking a test piece in an overall model state as a research object to perform finite element analysis, and extracting displacement of a displacement constraint point of the test piece and a support reaction force; S2, adopting a local stiffness constraint method to constrain local displacement of the model; S3, establishing a topology optimization problem; S4, dividing a design domain of the flexible tooling, and constructing an equivalent configuration of the flexible tooling; S5, topologically optimizing the equivalent configuration of the flexible tooling to obtain an optimized configuration of the flexible tooling; and S6, comparing simulation data of the test piece in a tooling clamping state with simulation data of the test piece in the overall model, and if a difference between the two is greater than a threshold value, returning to step S5; otherwise, ending. The application applies the topology optimization technology to the flexible tooling design, and the design process is simple; through local stiffness control of the tooling, real boundary conditions of the test piece are accurately simulated, and the test is improved in authenticity.

This invention relates to the field of intelligent agent construction and application technology, specifically disclosing a two-layer optimization method for constructing multi-agent systems. The method models the multi-agent system based on a large language model as a learnable graph, abstracts agents as nodes, and abstracts the interaction and communication between agents as edges. It introduces unbiased policy gradient estimation to transform the topology optimization problem into a continuous optimization problem, calculating gradients and updating connection probabilities. Based on Shapley values ​​from cooperative game theory, it quantifies the marginal contribution of each edge to system performance, optimizing the directed acyclic graph. Based on a black-box tuning mechanism, it introduces an optimization degree evaluator to ensure that prompts are iteratively updated towards the optimal fit, collaboratively optimizing the system's topology and prompts. This invention promotes the improvement of information interaction quality and overall decision-making ability among agents, providing support for the construction of multi-agent systems based on large language models and the optimization of their topology and prompts.

The application discloses a topology optimization design method for integrated emission antenna heat dissipation flow channels, and specifically relates to the following steps: establishing a simplified two-dimensional plane heat source model; initializing and applying boundary conditions at the inlet; distributing compact support radial basis functions with an expansion coefficient on the obtained finite element grid nodes divided in a design domain, then linearly superimposing the radial basis functions to obtain a parameterized level set function; obtaining the distribution of solid and fluid in the design domain according to the level set function value; solving the heat exchange performance of the heat dissipation flow channel configuration represented by the parameterized level set function; establishing a mathematical model of the topology optimization problem, calculating the sensitivity of the objective function and the constraint condition with respect to the design variable expansion coefficient; and obtaining a complete heat dissipation flow channel design. The method can meet the demand of maximizing the heat exchange capacity at a high heat flow density heat source while simplifying the calculation, and improve the heat dissipation performance.

The invention discloses an unmanned aerial vehicle bearing joint structure design optimization method based on topological optimization, and the method comprises the steps: (1) employing a variable density method continuum topological optimization method, based on an SIMP interpolation model, taking the unit relative density ai as a design variable, and building a topological optimization mathematical model; (2) post-processing the optimized structure; (3) setting structural design optimization operation parameters of the unmanned aerial vehicle bearing joint; and (4) solving an optimization model of the topological optimization problem, and drawing a structural topological optimization result. By combining the variable density method, the symmetry constraint and the multi-scale grid strategy, high-rigidity and low-weight joint structure design is achieved.

The present application relates to a kind of structural topology optimization complexity control method based on morphological feedback, comprising the following steps: modeling reaction diffusion equation level set structural topology optimization problem, and volume fraction constraint is executed;Solving structural topology optimization problem, and sensitivity analysis is carried out, and assembly physical drive item under defined target and constraint;Judge whether control is activated, if control is activated, then measure structural morphological complexity, determine corresponding control mode, regulate structural morphological complexity, obtain revised drive item, replace original physical drive item in reaction diffusion equation with revised drive item, and update reaction diffusion equation;Otherwise, keep original physical drive item and update reaction diffusion equation;Only when the convergence of target and constraint of structural topology optimization problem and the number of structure hole equal target value, iteration terminates, output structure based on the solving result of structural topology optimization problem and end process, otherwise, carry out next iteration.Compared with prior art, the present application has the advantages of no initial layout dependence and accurate control of structural complexity.

The invention discloses a stiffened plate structure time domain dynamics topological optimization method and system based on a model reduction method, and relates to the field of topological optimization design of stiffened plate structures. According to the method, efficient solving of the time domain dynamics topological optimization problem of the stiffened plate structure is achieved, and therefore the large-scale lightweight dynamics design requirement of high-performance thin-wall engineering equipment is met. According to the technical key points, a base structure introducing rib unit local geometric control constraints is constructed, the initial connectivity of rib units is ensured, and the problem of local cross interference in the rib unit optimization process is inhibited; based on an equal geometric stiffness diffusion method, a time domain dynamics full-order topological optimization model of the stiffened plate structure is established. Then, on the basis of an intrinsic orthogonal decomposition method and an incremental singular value decomposition method, a time domain dynamics reduction model of the stiffened plate structure is constructed; and meanwhile, a sensitivity analysis adjoint equation of the time domain dynamics optimization problem is cooperatively reduced, so that the time domain dynamics topological optimization problem of the stiffened plate structure is efficiently solved. And finally, on the basis of a modified penalty function method, constructing an updating iteration format of design variables, and seeking an optimal rib layout design of the stiffened plate structure. The method is used for time domain dynamics layout optimization of the stiffened plate structure.

The application provides a turbine disc structure optimization method based on thermal coupling, a topology optimization model is established by taking the relative density of each unit in a finite element analysis model of the turbine disc as a design variable; the elastic modulus of the material of the unit in the topology optimization model at different temperatures is extracted and linearly fitted as a first-order function to construct a mapping relationship between the elastic modulus of any unit in an optimization domain and the design variable, and a topology optimization problem of the structure is converted into an optimal distribution problem of the material; the sensitivity of all units in the optimization domain is calculated, the sensitivity is normalized and filtered, the processed sensitivity is sorted to obtain an array, and the array is updated; an iteration termination judgment condition is set, when the structure volume meets the design requirement and reaches a convergence standard, the optimized structure is output, and the turbine disc structure optimization design is completed. The optimization method provided by the application meets the lightweight design of the turbine disc structure and improves the overall stiffness performance of the disc structure.

This invention proposes a method and system for constructing a high-voltage distribution network operation topology optimization model and its distributed reinforcement learning framework, comprising: Step S1: Constructing a high-voltage distribution network operation topology optimization model for the target high-voltage distribution network; including constructing the high-voltage distribution network operation topology optimization model and proposing its optimization objective and constraints; Step S2: Building and training the distributed reinforcement learning framework; including building a centralized training and distributed execution reinforcement learning computation framework for the high-voltage distribution network operation topology optimization problem of the target high-voltage distribution network, then determining the agents and the state space and action space of each agent, clarifying the reward function and training algorithm, and carrying out model training; Step S3: Formulating auxiliary decision-making for high-voltage distribution network topology optimization during the maintenance period of the target high-voltage distribution network, and finally obtaining the optimal operation topology of the high-voltage distribution network as a whole, and outputting performance evaluation results.

The invention relates to an efficient additive manufacturing thermal coupling topological optimization method considering suspension constraints. The method comprises the following steps: firstly, constructing a thermal-mechanical coupling topological optimization model considering the suspension constraint based on a suspension angle projection function; secondly, a multi-grid preprocessing conjugate gradient method is introduced to efficiently solve a structure heat conduction and thermal coupling balance equation, and structure temperature field and displacement field information is obtained; and finally, based on an adjoint variable method, deriving the sensitivity of a target function about topological design variables, and updating the topological configuration of the thermal coupling structure by adopting a gradient-based moving asymptote optimization algorithm. According to the method, the topological optimization model considering the suspension constraint is constructed for the topological optimization problem of the thermal coupling structure for additive manufacturing, the efficiency of structural thermal coupling performance analysis is greatly improved through the multi-grid preprocessing strategy, and efficient structural thermal coupling topological optimization design meeting the additive manufacturing requirement is achieved.