基于双轴车辆无维响应的桥梁频率的子空间识别
Yixin Quan1, Qing Zeng1,2, Nan Jin3,4
1School of Civil and Environmental Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China.
Sensors (Basel, Switzerland)
|March 28, 2024
概括
本研究介绍了一种统一的方法来识别桥接频率,使用改进的短期随机子空间识别 (ST-SSI) 和多变量输出错误状态空间 (MOESP) 技术. 该方法通过有效分析车辆-桥梁相互作用动态来增强桥梁健康监测.
科学领域:
- 结构工程 结构工程
- 振动分析 振动分析
- 计算力学 计算力学 计算力学
背景情况:
- 准确识别桥梁频率对于结构健康监测和损坏评估至关重要.
- 现有的方法可能缺乏针对不同运行条件的稳定性,例如速度和道路粗度.
- 车辆桥交互 (VBI) 提供了一个复杂的动态系统进行分析.
研究的目的:
- 通过两种基于子空间的方法,提出一种统一的方案来识别桥梁频率.
- 通过使用无维的车辆响应作为输入来提高频率识别的稳定性.
- 理论上消除道路粗的影响,并分析交通状况的影响.
主要方法:
- 使用了改进的短期随机子空间识别 (ST-SSI) 和多变量输出错误状态空间 (MOESP) 算法.
- 开发了一个无维的描述车辆-桥梁交互系统.
- 纳入了双轴车辆的双轴响应差异,考虑了轮子的时间转移,以消除道路粗度数据.
主要成果:
- 拟议的方案有效地识别了在各种条件下的多顺序桥频率.
- 在一个简单支的桥梁和两个长跨度复杂桥梁上验证了性能.
- 这些方法在高车速,粗道路和随机交通流量方面表现出了稳健性.
结论:
- 统一方案为桥梁频率识别提供了强大而有效的方法.
- 无维度VBI分析提高了结构健康监测的可靠性.
- 该方法为实际的桥梁检查和维护提供了巨大的潜力.
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