用数据驱动的方法量化环境负载对悬架桥移位的影响
Jiaojiao Li1, Xiaolin Meng1, Liangliang Hu1
1The Key Laboratory of Urban Security and Disaster Engineering of the Ministry of Education, Beijing University of Technology, Beijing 100124, China.
Sensors (Basel, Switzerland)
|March 28, 2024
概括
这项研究使用XGBoost模型来量化风和温度等环境负载如何影响悬浮桥移位. 它发现风显著影响横向移动,而温度影响垂直移动,有助于结构健康监测.
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
- 环境科学 环境科学
背景情况:
- 由于环境退化和变形,长跨桥需要强大的结构健康监测 (SHM).
- 桥梁位移是结构完整性的关键指标,特别是在承受多重环境负荷的悬架桥梁中.
- 了解各种环境因素对桥梁位移的具体影响,对于有效的维护和安全至关重要.
研究的目的:
- 开发一种基于数据的方法,使用极端梯度增强 (XGBoost) 来量化环境负荷对悬架桥位移的影响.
- 研究不同环境负荷 (风,温度,气压,湿度) 与悬架桥的3D位移之间的相互关系.
- 为了消除温度时间滞后对位移数据的影响,以便进行更准确的分析.
主要方法:
- 利用极端梯度增强 (XGBoost) 模型来预测桥梁位移和量化负载影响.
- 组合波纹值 (WT) 无声化和变化模式分解 (VMD) 用于3D位移数据的模态分解.
- 使用部分依赖图片 (PDP) 来单独量化不同环境负载的影响.
主要成果:
- XGBoost模型显示了桥梁位移的高预测精度.
- 侧向位移主要受到同方向风的影响 (正相关性).
- 垂直位移主要受到温度 (负相关) 的影响,纵向位移受负荷组合的影响.
结论:
- 开发的XGBoost模型有效量化了环境负荷对悬架桥位移的影响.
- 特定的环境因素对不同的移位方向有不同的影响,为SHM提供了有价值的见解.
- 结果可以指导桥梁结构健康监测策略,特别是在极端天气条件下,以防止事故.
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01:19Impact Loading
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