Bidirectional Evolutionary Structural Optimization for Transient Problems

瞬态问题的双向进化结构优化

• 批准号: DP230103180
• 负责人: Prof Grant Steven
• 金额: $ 34.69万
• 依托单位: The University of Sydney
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2023
• 资助国家: 澳大利亚
• 起止时间: 2023-01-01 至 2025-12-31
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP230103180
• 关键词: Bidirectional; Evolutionary; Structural; Optimization; Transient

Aims: This proposal aims to expand the bidirectional evolutionary structural optimisation (BESO) method for transient mechanical, multiphysical and robotic problems. Significance: The study will develop new BESO transient algorithms by integrating time-dependent analysis and stepwise design sensitivity in multicriteria and multidisciplinary optimisation. Expected outcomes: The project will largely broaden the algorithmic scope of BESO and enables it to solve more extensive real-life problems with time-varying nature. Benefits include a new BESO design framework and computer program, as well as a series of novel designs, potentially being implemented for aerospace, automotive, biomedical, mechanical, civil and mechatronic applications.

目的：该建议的目的是扩大双向进化结构优化（BESO）的瞬态机械，多物理和机器人问题的方法。 重要性：该研究将开发新的BESO瞬态算法集成时间相关的分析和逐步设计灵敏度在多准则和多学科优化。 预期成果：该项目将在很大程度上拓宽BESO的算法范围，使其能够解决具有时变性质的更广泛的现实问题。 好处包括一个新的BESO设计框架和计算机程序，以及一系列新颖的设计，可能被实施为航空航天，汽车，生物医学，机械，民用和机电一体化应用。