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采用有效信号段自提取算法识别结构多损伤位置
引用本文:欧阳青华,周丽,刘晓同.采用有效信号段自提取算法识别结构多损伤位置[J].哈尔滨工业大学学报,2017,49(4):35-41.
作者姓名:欧阳青华  周丽  刘晓同
作者单位:机械结构力学及控制国家重点实验室南京航空航天大学,南京210016,机械结构力学及控制国家重点实验室南京航空航天大学,南京210016,机械结构力学及控制国家重点实验室南京航空航天大学,南京210016
基金项目:国家自然科学基金(8,8);高等学校博士学科点专项科研基金(20123218110001);机械结构力学及控制国家重点实验室(南京航空航天大学)自主研究课题资助(0515G01)
摘    要:为识别结构中的多处损伤,提出了一种采用有效Lamb波信号段自提取算法计算结构损伤指标的多损伤识别成像方法.该方法将结构的待检测区域划分为数个子区域,并根据Lamb波的传播时间和波速从传感器接收到的信号中自动提取出包含结构信息的有效信号.以该有效信号作为输入,计算每个子区域中基于信号相关系数所获得的损伤指标,最后采用RAPID算法对全部识别区域内的损伤位置进行识别和成像.以航空铝板为研究对象进行了实验验证研究,结果表明,该方法能快速有效地识别出多个损伤,并较为准确地实现损伤成像以描述损伤的位置.

关 键 词:结构健康监测  压电传感器  Lamb波  相关系数  多损伤识别  损伤成像
收稿时间:2015/9/12 0:00:00

Identification of structural multiple damage locations using an effective signal automatic extraction algorithm
OUYANG Qinghu,ZHOU Li and LIU Xiaotong.Identification of structural multiple damage locations using an effective signal automatic extraction algorithm[J].Journal of Harbin Institute of Technology,2017,49(4):35-41.
Authors:OUYANG Qinghu  ZHOU Li and LIU Xiaotong
Affiliation:State Key Laboratory of Mechanics and Control of Mechanical Structures Nanjing University of Aeronautics & Astronautics, Nanjing 210016, China,State Key Laboratory of Mechanics and Control of Mechanical Structures Nanjing University of Aeronautics & Astronautics, Nanjing 210016, China and State Key Laboratory of Mechanics and Control of Mechanical Structures Nanjing University of Aeronautics & Astronautics, Nanjing 210016, China
Abstract:To identify multiple damage locations in the structure, a method of multiple damage locations identification and imaging was proposed. In this method, the damage index is calculated by using an effective Lamb wave response automatic extraction algorithm. The detected key area in the structure is divided into several subregions, and the effective response signals containing the structural damage information are automatically extracted from the entire Lamb wave responses received by the piezoelectric sensors. Subsequently, the damage indexes of every subregion based on the correlation coefficient are evaluated by using the effective Lamb wave response automatic extraction algorithm. Eventually, the damage locations identification and imaging are performed using the reconstruction algorithm for probabilistic inspection of damage (RAPID). The experimental verification research is conducted using an aeronautic aluminum plate. The experimental results show that the method proposed in this research is capable of identifying multiple damage locations quickly and effectively, as well as imaging the damages in detected area clearly.
Keywords:structural health monitoring  piezoelectric sensor  Lamb wave  correlation coefficient  multiple damage identification  damage imaging
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