Real-time bridge performance evaluation based on crowdsourcing and learning

基于众包和学习的桥梁性能实时评估

• 批准号: DP230100806
• 负责人: A/Prof Xinqun Zhu
• 金额: $ 25.33万
• 依托单位: University of Technology Sydney
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2023
• 资助国家: 澳大利亚
• 起止时间: 2023-01-01 至 2025-12-31
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP230100806
• 关键词: Real; time; bridge; performance; evaluation

This project aims to develop a novel strategy utilizing the real-time measurements from moving vehicles and bridges for evaluating the safety and operational performance of bridges based on transfer learning and vehicle-bridge interaction model. This is the first essential study on integrating the bridge-moving load models with transfer learning to extract common knowledge from simulation experiments to support the assessment of damaged status in practice. The project will provide an engineer-friendly low cost monitoring system for its deployment, management and maintenance of existing transport infrastructure. The innovative techniques developed enable the safe operation and reliable evaluation and maintenance of transport infrastructure.

该项目旨在开发一种新的策略，利用移动车辆和桥梁的实时测量，基于迁移学习和车桥相互作用模型评估桥梁的安全性和运营性能。这是第一次将桥梁移动荷载模型与迁移学习相结合，从仿真实验中提取共同知识，以支持实际中的受损状态评估的重要研究。该项目将为现有运输基础设施的部署、管理和维护提供一个方便工程师的低成本监测系统。所开发的创新技术使运输基础设施能够安全运行、可靠评估和维护。