A multistage FE updating procedure for damage identification in large-scale structures based on multiobjective evolutionary optimization
A multistage FE updating procedure for damage identification in large-scale structures based on multiobjective evolutionary optimization
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DOI：
10.1016/j.ymssp.2007.10.004
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发表时间：
2008-05
影响因子：
8.4
通讯作者：
R. Perera;Antonio Ruiz
中科院分区：
文献类型：
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作者：
R. Perera;Antonio Ruiz
本研究旨在开发一种基于实验模态数据和应用于简单 FE 模型的有限元 (FE) 模型更新方法的大型结构损伤检测的多级方案。在第一阶段，利用损伤函数进行损伤的发生和近似定位，以减少需要更新的参数数量。第二阶段的目标是仅考虑属于第一阶段检测为损坏的区域的成员来识别特定的损坏成员和损坏程度。为了提高识别能力，优化过程是在使用进化算法求解的多目标环境中制定的。模态灵活性和依赖于频率和振型的损伤位置标准被用作多目标问题的两个目标函数。该提案在模拟案例研究和真实桥梁案例研究中得到实施，并通过实验测试取得了成功。
This study aims to develop a multistage scheme for damage detection for large structures based on experimental modal data and on finite element (FE) model updating methods applied on simple FE models. In the first stage, occurrence and approximate location of damage is performed by using damage functions in order to decrease the number of parameters to be updated. The goal in the second stage is to identify the specific damaged members and damage extent by considering only the members belonging to the regions detected as damage in the first stage. To improve identification, the optimization procedure is formulated in a multiobjective context solved by using evolutionary algorithms. Modal flexibilities and a damage location criterion dependent on frequencies and mode shapes are used as two objective functions of the multiobjective problem. The proposal is implemented in simulated case studies and in a case study of a real bridge experimentally tested with successful results.