在连续刚性框架桥梁中用于损坏识别的刚性分离方法
Feng Xiao1, Linger Xu1, Yu Yan1
1School of Safety Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.
Sensors (Basel, Switzerland)
|December 11, 2025
概括
本研究提出了一种刚性分离方法,以简化在连续刚性框架 (CRF) 桥梁中的损坏识别. 这种方法减少了计算复杂性,并提高了结构健康监测的效率.
科学领域:
- 结构工程 结构工程
- 机械工程 机械工程
- 土木工程 土木工程是指土木工程.
背景情况:
- 在连续刚性框架 (CRF) 桥梁中基于优化的损坏识别在计算上是复杂的.
- 越来越多的自由度在结构分析中极大地挑战了客观的功能融合.
研究的目的:
- 引入一种新的硬度分离方法,以有效识别CRF桥梁中的损坏.
- 简化目标功能,提高结构损坏检测中的计算效率.
主要方法:
- 将CRF桥梁的整体刚度矩阵分解为较小的刚度子矩阵.
- 应用刚性分离方法来简化损坏识别的客观功能.
- 在两个不同的CRF桥梁结构上验证该方法的有效性.
主要成果:
- 硬度分离方法大大简化了损坏识别的目标功能.
- 减少计算复杂性可以提高损坏检测效率.
- 拟议的方法在识别CRF桥梁中的结构损坏方面表现出有效性.
结论:
- 刚性分离方法为CRF桥梁的损坏识别提供了更有效的方法.
- 这种技术提高了对复杂的桥梁结构应用基于优化的方法的可行性.
- 该研究为桥梁结构健康监测和维护提供了有价值的工具.
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