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: Queensland University of Technology
• 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
• 起止时间: 2022-01-01 至 2024-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DE220100909
• 关键词: Innovative; Soft; computing; Condition; Assessment

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.

桥梁等大型基础设施的健康状况一直难以确定，因为它们的规模大，相关数据不完整，在测量和系统识别方面存在很高的不确定性。该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，以可靠地评估大型基础设施的健康状况。这些成果将加强基础设施资产管理的现行做法，以便及时进行翻新和延长生命周期。这一发展将通过提高运营效率和防止基础设施灾难性故障为澳大利亚带来好处。