基于温度诱导偏移的非线性建模的连续刚性框架桥梁的早期预警
Liangwei Jiang1, Hongyin Yang1,2, Weijun Liu3
1School of Civil Engineering and Architecture, Wuhan Institute of Technology, Wuhan 430073, China.
Sensors (Basel, Switzerland)
|June 19, 2024
概括
这项研究提出了一种新的非线性建模方法,用于使用结构健康监测 (SHM) 数据预测桥梁中温度诱导的偏移. 该方法通过准确预测桥梁性能下降来增强早期预警系统.
科学领域:
- 土木工程 土木工程是指土木工程.
- 结构工程 结构工程
- 数据科学数据科学数据科学
背景情况:
- 结构健康监测 (SHM) 对桥梁安全至关重要.
- 温度诱导的偏移 (TID) 是桥梁性能恶化的关键指标.
- 在TID的时间延迟效应使准确的预测变得复杂.
研究的目的:
- 为桥梁开发一个准确和有效的早期预警方法.
- 为了应对TID预测中的时间滞后效应所带来的挑战.
- 为桥梁结构建立动态的,多层次的警告值.
主要方法:
- 从连续的刚性框架桥上分析SHM数据 (温度和偏移).
- 核心主要组件分析 (KPCA) 用于提取主要温度组件.
- 用于TID提取的波形变换和用于非线性建模的支向量机 (SVM),包括温度梯度.
主要成果:
- 该KPCA-SVM算法实现了TID.的高精度非线性建模.
- 观察到计算负载的显著减少.
- 预测结果显示确定系数高于0.98,具有明显的统计错误模式.
结论:
- 拟议的KPCA-SVM方法为桥梁中准确的TID预测提供了有效的解决方案.
- 基于错误模式,可以建立动态和多层次的预警值.
- 这种方法通过先进的SHM提高了桥梁运行的可靠性和安全性.
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