Structure topology optimization method

Abstract

The invention discloses a structure topology optimization method, comprising the following steps: defining an initial structure and a corresponding level set function; averagely interpolating the current node level set function value phi N to obtain the initial level set function value phi of each element; introducing the concept of level set band with adjustable width and the parameter delta usedto control the intermediate density range, and processing the value phi of the level set function by the mapping function with parameter delta to get the unit density value H (phi) in the range of 0-1 to obtain the topological structure containing the intermediate density; carrying out finite element analysis of the topological structure, and updating the value phi N of the node level set function; carrying out iteration and convergence judgment to get the structure design with clear boundary; outputting optimization results. The invention can realize continuous topology evolution, solve boundary-related optimization problems, ensure physical manufacturability of optimization results, obtain reasonable structure topology, and finally obtain structure design with clear boundary expressed by zero-level set when converging.

Description

technical field [0001] The invention relates to the related technical field of structural optimization design, in particular to a structural topology optimization method based on adjustable width horizontal set bands. Background technique [0002] The variable density method (represented by the SIMP method) and the level set method based on the material interpolation model are two commonly used methods for topology optimization. [0003] The variable density method is a topology optimization method that introduces a hypothetical unit pseudo-density that can continuously take values ​​between 0 and 1 as a design variable, and then assumes that there is a functional relationship between the material physical property values ​​such as elastic modulus and pseudo-density. Among them, the SIMP model is the most commonly used model in the variable density method, and its element elastic modulus E is taken as a function of the element pseudo-density: [0004] E(ρ)=ρ p E. 0 [00...

AI Technical Summary

Problems solved by technology

This method realizes that the pseudo-density of the material approaches 0 or 1 through the action of the penalty factor p, thereby gradually removing the intermediate density units in the structure, but this method has two problems: 1. For the final result of the three-dimensional complex structure, there are often still a large number of intermediate densities The unit cannot be eliminated; 2. For optimization problems involving both mass and stiffness, such as structural self-weight and dynamic problems, both mass and stiffness need to be penalized at the same time, but because the physical properties of mass and stiffness are different, the same penalty factor will not be effective Matching causes convergence issues and often requires additional processing

Images