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基于微移动性的混合时间频率分析间接桥梁健康监测

Premjeet Singh¹, Harsha Agarwal¹, Ayan Sadhu¹

¹Department of Civil and Environmental Engineering, Western University, London, ON N6A 5B9, Canada.

Sensors (Basel, Switzerland)

|December 31, 2025

概括

配备传感器的自行车可以间接监测桥梁健康状况 (iBHM). 一种混合波段包转换-同步提取转换方法准确地分析桥梁振动,用于结构健康监测.

科学领域:

土木工程土木工程是指土木工程.
结构健康监测结构健康监测
交通基础设施交通基础设施

背景情况:

桥梁是关键基础设施,需要持续监测状态.
传统的结构健康监测 (SHM) 面临着交通干扰和传感器限制等挑战.
间接桥梁健康监测 (iBHM) 提供了使用交通数据的非破坏性替代方案.

研究的目的:

调查使用自行车作为iBHM移动传感平台的可行性.
开发和评估一种新的信号处理方法,用于分析基于自行车的iBHM数据.
与现有方法相比,评估这种方法的有效性.

主要方法:

利用系统识别方法来分析自行车上的加速度传感器的加速度数据.
采用混合波段包转换 (WPT) 和同步提取转换 (SET) 方法.
在各种穿越条件下测量了桥梁反应,以及骑手-自行车-桥梁的相互作用.

主要成果:

WPT-SET混合方法在识别占主导地位的非静止频率方面表现出卓越的稳定性和准确性.
提出的基于自行车的iBHM方法有效地捕捉了桥梁的动态特征.
性能与时间变化的过实证模式分解 (TVF-EMD) 算法进行了验证.

结论:

自行车作为iBHM的经济高效的移动传感平台.
WPT-SET方法是分析iBHM数据的可靠工具.
这种方法可以在机动车辆无法进入的区域进行结构健康监测.

关键词:

缓冲比率的缓冲比率是什么频率分析频率分析间接监测桥梁的健康状况微型移动设备的设备.模式识别模式识别同步提取的转换.波形数据包转换波形数据包转换.

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