Performance-Driven Robust Topology Optimization of Functionally Graded Lattice Structures

功能梯度晶格结构的性能驱动的鲁棒拓扑优化

• 批准号: EP/Y023455/1
• 负责人: Kang Gao
• 金额: $ 23.84万
• 依托单位: CARDIFF UNIVERSITY
• 依托单位国家: 英国
• 项目类别: Fellowship
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FY023455%2F1
• 关键词: Performance; Driven; Robust; Topology; Optimization

This project aims to develop an efficient performance driven robust optimization framework for designing 3D printed graded lattice structures with considering random manufacturing uncertainties and defects. Undesired but inevitable manufacturing flaws in 3D printed structures remarkably affect structural performance, safety, and reliability, and can lead to severe damage or abrupt failure that costs billions of dollars annually and possible loss of lives. Expected outcomes include fundamental knowledge advance and new technologies in designing, assessing, and manufacturing of lattice structures. The project has a great potential to bring huge economic benefits associated with significantly improved structural safety, reduced cost, and enhanced capacities for industrial sectors in EU.

该项目旨在开发一种高效的性能驱动的稳健优化框架，用于考虑随机制造不确定性和缺陷的3D打印梯度网格结构的设计。3D打印结构中不受欢迎但不可避免的制造缺陷会显著影响结构的性能、安全和可靠性，并可能导致严重损坏或突然故障，每年造成数十亿美元的损失，甚至可能造成生命损失。预期成果包括网架结构设计、评估和制造方面的基础知识进步和新技术。该项目有很大的潜力带来巨大的经济效益，显著改善结构安全，降低成本，并增强欧盟工业部门的能力。