A Multiscale Topology Optimization Method for Lightweight and Thermally Insulated Load-bearing Structures

Abstract

The invention discloses a multi-scale topology optimization method for lightweight anti-heat insulation load-bearing structures, which relates to the field of multi-scale structure topology optimization design, including predicting the equivalent properties of the composite lattice microstructure and constructing the equivalent properties Explicit surrogate model; establish heat convection diffusion equation and linear equilibrium equation, solve temperature field and displacement field; establish continuous interpolation format of coolant properties and composite lattice equivalent properties; establish multi-scale topology optimization model and its objective function and constraints function; based on the temperature field and displacement field, calculate the objective function and constraint function of the optimization model; conduct sensitivity analysis; iteratively update each design variable until the convergence condition is met. This method realizes the multi-scale collaborative optimization design of metal, heat insulation material and coolant, and realizes the optimization of structural rigidity, heat insulation performance and light weight.

Description

technical field [0001] The invention relates to the field of multi-scale structure topology optimization design, in particular to a multi-scale topology optimization method for lightweight heat-insulating load-bearing structures. Background technique [0002] The structural topology optimization method is a simulation-driven structural design method, which can realize the reasonable distribution of materials in the design domain under the design constraints, and is widely used in the lightweight design of industrial structures. Compared with traditional topology optimization methods that only design at the macro-scale of the structure, multi-scale topology optimization can consider the scale coupling effect and realize the integrated design of materials and structures. Driven by the application needs of aerospace and other industrial equipment, many scholars at home and abroad have begun to actively explore new theories and technologies for lightweight and multifunctional st...

AI Technical Summary

Problems solved by technology

Although the optimization idea of ​​parametric microstructure can solve the geometric continuity problem of adjacent microstructure boundaries, the microstructure forms used in the existing work are relatively simple and have fewer types, and the design advantages of material structure integration have not been fully utilized.

In addition, the current integrated design of materials and structures is mostly aimed at improving the load-carrying performance of the structure, and there is no multi-scale optimization research to improve the structure's thermal insulation performance and fluid heat dissipation capacity.

[0005] At present, the lightweight structure designed by the topology optimization method considering the structural load and flow channel heat dissipation is low, and there is a lack of a lightweight anti-insulation load-bearing structure method with flow channels that can be efficiently designed in a mechanical-thermal coupling environment.

Images