一种增强的贝叶斯式方法用于损害识别,利用从精炼的基本模态应变能量比率中获得的先前知识
Li Chen1,2, Hui Chen3,4, Lu-Ling Liu2
1School of Computer Science and Engineering Artificial Intelligence, Wuhan Institute of Technology, Wuhan, 430205, China.
Scientific reports
|January 2, 2025
概括
本研究引入了贝叶斯损伤识别方法,使用改进的基本模态应变能量比率 (IEMSER) 进行精确的结构健康监测. 这种方法通过利用先前的信息来提高现实世界结构的准确性来提高损害检测.
科学领域:
- 结构工程 结构工程
- 计算力学 计算力学 计算力学
- 损坏检测检测 损坏检测 损坏检测
背景情况:
- 准确的结构损坏识别对于安全和维护至关重要.
- 现有的方法可能无法充分利用先前的信息来提高准确性.
- 模态分析技术广泛用于结构评估.
研究的目的:
- 提出一个新的贝叶斯损害识别方法,以改进的基本模态应变能量比率 (IEMSER) 为指导.
- 通过有效利用先前信息,提高损害参数估计的准确性.
- 在数值和实验结构数据上验证拟议的方法.
主要方法:
- 开发IEMSER指标,使用测量频率和模式形状进行初步损害评估.
- 使用基于IEMSER的损害估计指导稀疏的先前分配.
- 应用马尔科夫链蒙特卡洛 (MCMC) 采样方法来计算后方概率密度函数 (PDF).
- 确定损害参数的最大后期估计 (MAP).
主要成果:
- IEMSER提供了准确的初步损害估计,形成了可靠的稀疏预先.
- 贝叶斯方法与拟议的先验方法显著提高了损害识别准确度.
- 钢结构桥梁上的数值模拟显示了高精度.
- 在一个18层高的框架结构上的实验验证证证了该方法的实际应用性.
结论:
- 建议的贝叶斯损害识别方法有效地利用先前的信息来提高准确性.
- IEMSER 作为一个强大的指标来指导贝叶斯框架.
- 该方法适用于各种结构,包括桥梁和框架建筑.
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