【作者】 刘艳霞； 李慧剑； 张蔚；

【Author】 Liu Yanxia~1 Li Huijian~1 Zhang Wei~2 (1.College of Civil Engineering and Mechanics,Yanshan University,Hebei Qinhuangdao 066004;2.Gongcheng Construction Limited Company of Beijing,Beijing 100015)

【机构】 燕山大学建筑工程与力学学院； 北京功成建筑有限公司；

【摘要】 本文采用Lipschitz指数对塔式结构拓展后的信息进行损伤程度识别,并基于曲线拟合的信息拓展方法,可有效地消除小波变换所带来的边界Gibbs现象,准确地识别出损伤位置。同时,以小波变换确定动力信号奇异点的Lipschitz指数大小,从而识别结构损伤的程度。算例的分析结果表明,这种方法对于结构损伤程度的识别具有可行性和有效性。更多还原

【Abstract】 This paper mainly adopted Lipschitz exponent to damage degree identification for tower structure expansion information.The method of information expansion based on curve fitting can effectively suppressed Gibbs phenomenon at boundary in wavelet transform,and identified damage site accurately.Meanwhile,wavelet transform can defined Lipschitz exponent size of signal singular point,and identified structural damage degree.The analysis results of computational examples show that this approach is feasible and effective to structural damage degree identification.更多还原