两座全尺寸桥梁上完全定制化车辆扫描系统的开发与现场验证
Development and Field Validation of a Fully Customised Vehicle Scanning System on Two Full-Scale Bridges
AI总结：
本研究开发了首款专为驾驶式桥梁检测设计的定制电动自主检测车，在两座全尺寸桥梁上验证其捕捉结构动力响应的有效性，结合无监督框架分析数据，证明了间接结构健康监测的实际可行性与应用潜力。
摘要：
确保桥梁结构完整性对于维护基础设施安全、推动长期可持续发展至关重要。在此背景下，通过驾驶式桥梁检测实现的间接结构健康监测（ISHM）成为传统检测方法的一种极具前景的替代方案，它借助车载传感器评估桥梁状况，无需直接安装仪器，具备成本效益高、可规模化推广的优势。本研究推出了首款专为驾驶式桥梁检测定制的电动检测车。该自主平台能够保持恒定低速行驶，且支持自定义运行参数，可最大化间接传感的准确性与可重复性，这些性能是此前研究未能实现的。研究将该检测车应用于间接结构健康监测框架中，并在两座全尺寸桥梁上开展测试，评估其捕捉结构动力响应的有效性。随后采用两种无监督框架分析采集到的数据，以识别能够反映桥梁特性与结构状况的特征。本研究取得的积极成果证明了该方法的实际可行性，同时也表明间接结构健康监测作为高效桥梁监测可行工具的潜力，可为下一代结构健康监测系统的发展提供助力，进而提升安全性、优化维护策略并保障关键基础设施的使用寿命。
英文摘要：
Ensuring the structural integrity of bridges is essential for maintaining infrastructure safety and promoting long-term sustainability. In this context, Indirect Structural Health Monitoring (ISHM) through drive-by bridge inspection emerges as a promising alternative to traditional inspection methods, offering a cost-effective and scalable solution by using vehicle-mounted sensors to assess the condition of bridges without requiring direct instrumentation. This study introduces the first purpose-built electric inspection vehicle specifically designed for drive-by bridge inspection. The autonomous platform is capable of maintaining a constant low speed and offers customisable operational parameters to maximise the accuracy and repeatability of indirect sensing, capabilities not achieved in previous studies. The vehicle is deployed within an ISHM framework and tested on two full-scale bridges to evaluate its effectiveness in capturing structural dynamic responses. Two unsupervised frameworks are then employed to analyse the collected data to identify features indicative of bridge properties and structural condition. The promising findings from this study demonstrate the practical feasibility of the approach. The study also shows the potential of ISHM as a viable tool for efficient bridge monitoring, contributing to the development of next-generation structural health monitoring systems that can enhance safety, optimise maintenance strategies, and support the longevity of critical infrastructure.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
