课题基金 / 基金详情

Innovative Soft-computing for Condition Assessment of Large Infrastructure

Innovative Soft-computing for Condition Assessment of Large Infrastructure
用于大型基础设施状态评估的创新软计算
批准号:
DE220100909
负责人:
Dr Khac Duy Nguyen
金额:
$25.16万
依托单位国家:
澳大利亚
项目类别:
Discovery Early Career Researcher Award
财政年份:
2022
资助国家:
澳大利亚
项目状态:
已结题
起止时间:
2022-01-01 至 2024-12-31

项目摘要

项目成果

相似基金

相关文献

中文摘要
翻译
大型基础设施(如桥梁)的健康状况由于其规模大、相关数据不完整以及测量和系统识别的高度不确定性而难以确定。本项目将基于结构动力学分析、多目标拓扑和软计算技术的进步,开发一种创新的状态评估方法,用于可靠地评估大型基础设施的健康状况。其成果将加强基础设施资产管理的现行做法,以提供及时的改造和延长生命周期。该项目将通过提高运营效率和防止基础设施的灾难性故障,为澳大利亚带来好处。
英文摘要
Health conditions of large infrastructure, such as bridges, have been difficult to determine due to their large scales, associated incomplete data and high uncertainties in measurement and system identification. This project will develop an innovative condition assessment method based on the advancements in structural dynamics analysis, multi-objective topology and soft-computing techniques, for reliably evaluating the health conditions of large infrastructure. The outcomes will enhance the current practices in infrastructure asset management to deliver timely retrofitting and extended life cycle. The development will provide benefits to Australia by enhancing operational efficiency and preventing catastrophic failure of infrastructure.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
海外基金