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小波奇异性在钢结构损伤检测中的应用
引用本文:张 悦,杜守军,张丽梅.小波奇异性在钢结构损伤检测中的应用[J].河北科技大学学报,2010,31(2):151-157.
作者姓名:张 悦  杜守军  张丽梅
作者单位:河北科技大学建筑工程学院,河北石家庄,050018
摘    要:根据小波奇异性检测理论,以应变能的损伤信号为结构损伤指标,分别以悬臂梁结构、平面桁架结构和空间网架结构为例进行数值模拟,将原始损伤信号和经过小波变换后的损伤信号进行对比,结果证明采用该方法不但对单一损伤而且对多损伤均能有效地识别出结构的损伤位置,表明了该方法的可靠性和实用性。

关 键 词:损伤检测  损伤定位  小波奇异性  应变能  小波变换
收稿时间:2009/9/8 0:00:00
修稿时间:2009/11/10 0:00:00

Application of wavelet singularity to steel structural damage detection
ZHANG Yue,DU Shou-jun and ZHANG Li-mei.Application of wavelet singularity to steel structural damage detection[J].Journal of Hebei University of Science and Technology,2010,31(2):151-157.
Authors:ZHANG Yue  DU Shou-jun and ZHANG Li-mei
Institution:(College of Architecture and Civil Engineering, Hebei University of Science and Technology, Shijiazhuang Hebei 050018, China)
Abstract:The inevitable damage, aging of steel structures in use process, needs detecting damage location. The wavelet analysis technique provides new ideas and methods for the steel structural damage detection. Based on the theory of wavelet singularity detection, with the injury signal of strain energy as structural damage index, and cantilever beam structure, plane truss structure and spatial truss as examples for numerical simulation, the original damage signal and the damage signal after wavelet transformation is compared. The calculational result shows that the present method as a reliable and practical way can be adopted to detect the single and several locations of damage in structures.
Keywords:damage detection  damage location  wavelet singularity  strain energy  wavelet transformation
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