Performance-Driven Robust Topology Optimization of Functionally Graded Lattice Structures
Performance-Driven Robust Topology Optimization of Functionally Graded Lattice Structures
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 --
中文摘要
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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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国内基金
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Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
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项目类别:外国青年学者研究基金项目
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资助金额:--
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批准年份:2024
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负责人:江洋子
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依托单位: