一个移动传感框架,通过反向问题解决程序和移动窗口时间序列模型来识别桥梁模式
Mohammad Talebi-Kalaleh1, Qipei Mei1
1Department of Civil and Environmental Engineering, University of Alberta, Edmonton, AB T6G 2H5, Canada.
Sensors (Basel, Switzerland)
|June 10, 2023
概括
这项研究引入了使用车辆加速度计监测桥梁健康状况的新框架,与传统方法相比降低了成本. 该方法准确地识别了桥梁的模式特征,即使有噪音和变化的车辆速度.
科学领域:
- 结构健康监测 结构健康监测
- 智能基础设施 智能基础设施
- 运输工程 运输工程
背景情况:
- 智能基础设施的发展需要具有成本效益的桥梁监控系统.
- 传统的固定传感器系统很昂贵,可能无法覆盖所有关键区域.
- 车载传感器为降低监控成本提供了一个潜在的解决方案.
研究的目的:
- 提出一个创新的框架来确定桥梁响应和确定模式特征.
- 仅使用过桥的车辆的加速度计数据.
- 为了降低桥梁监控系统的成本.
主要方法:
- 使用车辆轴加速作为输入来确定虚拟固定节点响应.
- 使用直线和立方线函数的反向问题解决方案进行初始响应估计.
- 使用带有外源输入 (ARX) 的移动窗口自回归模型,用于错误区域的信号预测.
- 整合单值分解 (SVD) 和频域分解 (FDD) 进行模式识别.
主要成果:
- 拟议的框架准确地确定了桥梁加速和位移反应.
- 该ARX模型有效地预测了错误较大地区的响应.
- 集成SVD和FDD成功地识别了桥式模式形状和自然频率.
- 该方法在各种条件下识别三种主要桥梁模式时表现出高精度.
结论:
- 开发的框架为桥梁结构健康监测提供了一种具有成本效益和准确的方法.
- 使用车载加速度计是传统固定传感器系统的可行替代方案.
- 拟议的方法显示了对环境噪声和车辆参数变化的稳定性.
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