Topology optimization based on moving deformable components: A new computational framework

TL;DR

This paper introduces a novel computational framework for structural topology optimization using moving deformable components, offering increased flexibility and reduced computational costs compared to traditional pixel-based methods.

Contribution

It presents a new approach that integrates more geometric and mechanical information directly into topology optimization, improving flexibility and efficiency.

Findings

Demonstrated effectiveness through representative examples

Reduced computational burden compared to traditional methods

Enhanced incorporation of geometric and mechanical data

Abstract

In the present work, a new computational framework for structural topology optimization based on the concept of moving deformable components is proposed. Compared with the traditional pixel or node point-based solution framework, the proposed solution paradigm can incorporate more geometry and mechanical information into topology optimization directly and therefore render the solution process more flexible. It also has the great potential to reduce the computational burden associated with topology optimization substantially. Some representative examples are presented to illustrate the effectiveness of the proposed approach.