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Performance-Driven Robust Topology Optimization of Functionally Graded Lattice Structures

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:
依托单位国家:
英国
项目类别:
Fellowship
财政年份:
2023
资助国家:
英国
项目状态:
未结题
起止时间:
2023 至 --

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中文摘要
翻译
该项目旨在开发一种高效的性能驱动的鲁棒优化框架,用于设计考虑随机制造不确定性和缺陷的3D打印梯度晶格结构。3D打印结构中不希望但不可避免的制造缺陷会显著影响结构性能、安全性和可靠性,并可能导致严重损坏或突然失效,每年造成数十亿美元的损失,并可能造成生命损失。预期的结果包括在设计、评估和制造晶格结构方面的基础知识进步和新技术。该项目具有巨大的潜力,可以带来巨大的经济效益,显著提高结构安全性,降低成本,提高欧盟工业部门的能力。
英文摘要
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.
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