基于模糊理论的结构损伤模式识别  

Research on Damage Pattern Identification Based on Fuzzy

作　　者：张力[1] 张瑜[1] 

机构地区：[1]西北工业大学长安校区建设办公室,西安710129

出　　处：《西安工业大学学报》2009年第2期177-183,共7页Journal of Xi’an Technological University

摘　　要：提出一种分步识别结构损伤模式的方法,首先根据结构损伤识别的特点,利用小波包分解原理,获得基于响应信号能量的损伤特征向量,然后利用神经网络确定损伤模糊集隶属度函数,通过模糊模式识别方法对结构损伤模式进行识别,最后对桥梁Benchmark模型进行试验验证.结果表明,该方法能较准确地识别结构的损伤模式,在工程应用中具有一定的实用价值.Based on the characteristic of damage identification for engineering structure, a method of damage pattern identification is put forward. First, using wavelet packet decomposition algorithm, damage eigenvector is extracted. Then, using neural network to determine damage fuzzy membership function, and then based on the fuzzy pattern recognition , the pattern of damage in structure is found. A calculation example of the bridge benchmark model proves that the method is much more accurate in identification and practical in engineering.

关 键 词：损伤模式识别 模糊理论 损伤特征向量 小波包分解 桥梁Benchmark模型 

分 类 号：TU312.3[建筑科学—结构工程]