Efficient and Robust Bi-directional Evolutionary Structural Optimisation Method for Large-scale Three-dimensional Topological Design

高效鲁棒的大规模三维拓扑设计双向进化结构优化方法

• 批准号: ARC : DP0211041
• 负责人: Yi Min Xie
• 金额: $ 16.5万
• 依托单位: Victoria University of Technology
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2002
• 资助国家: 澳大利亚
• 起止时间: 2002-01-01 至 2005-12-31
• 项目状态: 已结题
• 来源: https://researchdata.edu.au/efficient-robust-bi-topological-design/65938
• 关键词: Efficient; Robust; Bi; directional; Evolutionary

Efficient and Robust Bi-directional Evolutionary Structural Optimisation Method for Large-scale Three-dimensional Topological Design. Structural optimisation is a process of searching for the best shape and topology of an engineering structure which will consume the least amount of material or energy. This project aims to further investigate the Bi-directional Structural Optimisation (BESO) method which has recently been proposed by the applicant's team. New algorithms will be developed to substantially improve the efficiency and robustness of the BESO method. The expected outcome of the project is a simple and effective optimisation technique that can be used for the conceptual design of a wide range of engineering structures.

面向大规模三维拓扑设计的高效鲁棒双向渐进结构优化方法。结构优化是一个寻求工程结构的最佳形状和拓扑结构的过程，它将消耗最少的材料或能量。本项目旨在进一步研究申请人团队最近提出的双向结构优化（BESO）方法。将开发新的算法，以大大提高效率和鲁棒性的BESO方法。该项目的预期成果是一种简单有效的优化技术，可用于各种工程结构的概念设计。