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Structural damage detection method based on information fusion technique 被引量:1

基于信息融合技术的结构损伤诊断方法(英文)
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摘要 Multi-source information fusion (MSIF) is imported into structural damage diagnosis methods to improve the validity of damage detection. After the introduction of the basic theory, the function model, classifications and mathematical methods of MSIF, a structural damage detection method based on MSIF is presented, which is to fuse two or more damage character vectors from different structural damage diagnosis methods on the character-level. In an experiment of concrete plates, modal information is measured and analyzed. The structural damage detection method based on MSIF is taken to localize cracks of concrete plates and it is proved to be effective. Results of damage detection by the method based on MSIF are compared with those from the modal strain energy method and the flexibility method. Damage, which can hardly be detected by using the single damage identification method, can be diagnosed by the damage detection method based on the character-level MSIF technique. Meanwhile multi-location damage can be identified by the method based on MSIF. This method is sensitive to structural damage and different mathematical methods for MSIF have different preconditions and applicabilities for diversified structures. How to choose mathematical methods for MSIF should be discussed in detail in health monitoring systems of actual structures. 为提高结构损伤识别的准确率,将多源信息融合技术引入到结构损伤诊断中.在介绍多源信息融合技术的基本理论、功能模型、级别分类和数学方法的基础上,将2种或多种结构损伤识别方法提取的损伤特征向量进行特征级融合,建立了基于信息融合的结构损伤诊断方法.在钢筋混凝土板损伤试验中测试其模态信息,利用基于信息融合的结构损伤诊断方法进行裂缝位置识别,并与单独使用模态应变能法和柔度法进行损伤识别的结果进行对比.结果显示基于特征级信息融合的结构损伤诊断方法能够准确识别单一损伤识别方法无法识别的结构损伤,对于多位置损伤识别亦有效果.基于信息融合的结构损伤诊断方法具有良好的损伤敏感性.不同的信息融合算法有不同的适用范围,在实际结构健康监测中,要通过详细分析选择合适的多源信息融合算法.
出处 《Journal of Southeast University(English Edition)》 EI CAS 2008年第2期201-205,共5页 东南大学学报(英文版)
基金 The National High Technology Research and Develop-ment Program of China(863Program)(No.2006AA04Z416) the Na-tional Science Fund for Distinguished Young Scholars(No.50725828) the Excellent Dissertation Program for Doctoral Degree of Southeast University(No.0705)
关键词 multi-source information fusion structural damage detection Bayes method D-S evidence theory 多源信息融合 结构损伤诊断 Bayes方法 D-S证据理论
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