改进的有限元模型使用加速和应变数据更新高速公路桥梁
Doron Hekič1,2, Diogo Ribeiro3, Andrej Anžlin2
1Faculty of Civil and Geodetic Engineering, University of Ljubljana, Jamova cesta 2, 1000 Ljubljana, Slovenia.
Sensors (Basel, Switzerland)
|May 11, 2024
概括
这项研究通过整合应变和加速数据来增强桥梁有限元模型更新 (FEMU). 错误域模型伪造 (EDMF) 方法被证明比残余最小化更有效,用于准确的结构分析.
科学领域:
- 结构工程 结构工程
- 计算力学 计算力学 计算力学
- 桥梁工程 桥梁工程
背景情况:
- 桥梁的有限元模型更新 (FEMU) 往往依赖于加速数据,因为成本和便利性.
- 基于应变和位移的FEMU不太常见,导致包含应变测量的综合研究存在差距.
研究的目的:
- 在多跨段混凝土高速公路桥梁上执行并比较基于应变和加速的FEMU.
- 评估剩余最小化与FEMU中的错误域模型伪造 (EDMF) 方法的有效性.
主要方法:
- 基于应变的FEMU使用了重型车辆下的中跨应变.
- 基于加速的FEMU使用频率和模式形状.
- 分析调整了使用剩余最小化和EDMF的结构元素的模量因子.
主要成果:
- 基于应变和频率的FEMU显示,超结构设计刚度增加了20%左右.
- 通过将应变数据与加速数据相结合,EDMF提供了更合理的更新变量.
- EDMF导致内部主轴的设计刚度高估为25-50%.
结论:
- 错误域模型伪造 (EDMF) 方法为FEMU提供了优势,而不是剩余最小化.
- 将应变测量与加速度数据相结合,可以提高桥梁更新的有限元模型的准确性和灵敏性.
- 可能需要对EDMF进行进一步的改进,以避免高估特定结构部件的刚性.
关键词:
校准校准的时间混凝土高速公路桥梁.错误域模型伪造 (EDMF) 的方法有限元素模型更新 (FEMU)监控 监控 监控 监控 监控 监控优化优化 优化优化结构性健康监测 (SHM) 是一种结构性健康监测.更多相关视频
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