Selection on Db's family wavelet functions in steel structural damage identification

被引：0
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作者：
Research Institute of Structural Engineering and Disaster Reduction, Tongji University, Shanghai 200092, China [1 ]
机构：
来源：
Tongji Daxue Xuebao | 2006年 / 12卷 / 1568-1572+1577期
关键词：
Failure analysis - Identification (control systems) - Mathematical models - Neural networks - Structural frames - Wavelet transforms;
D O I：
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学科分类号：
摘要：
Several Db (Daubechies I) family wavelet functions are chosen in the study of a numerical model on four-story steel frame structure by using wavelet probabilistic neural network methods, and the effect of different wavelet functions on structural damage identification is discussed. This study shows that the wavelet function with good regularity and great vanishing moments is the best one in structural damage identification.
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