Ultrasonic Guided Wave Tomography for Damage Detection in Harsh Environment

被引:4
作者
Hua, Jiadong [1 ]
Zeng, Liang [1 ]
Lin, Jing [1 ]
Shi, Wen [1 ]
机构
[1] Xi An Jiao Tong Univ, Sch Mech Engn, Xian 710049, Peoples R China
来源
DAMAGE ASSESSMENT OF STRUCTURES X, PTS 1 AND 2 | 2013年 / 569-570卷
关键词
Lamb wave; RAPID; structural health monitoring; tomography; IDENTIFICATION; ALGORITHM; SYSTEMS; NETWORK;
D O I
10.4028/www.scientific.net/KEM.569-570.1005
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Guided wave tomography is an attractive tool for the detection and monitoring of the critical area in a structure. Using signal difference coefficient (SDC) as the tomographic feature, RAPID (Reconstruction Algorithm for the Probabilistic Inspection of Damage) is an effective and flexible tomography algorithm. In this algorithm, signal changes are exclusively attributed to the structural variation. However, external environmental factors (e.g. operating temperature, sensor bonding agent aging, rain) also change signals significantly. Particularly, the presence of anti-symmetric mode with a predominant out of plane displacement makes it very sensitive to the interferences like water loading or oil loading and leads to false alarms. In this paper, Lamb wave is excited in the low-frequency range. As a result, only the fundamental modes Ao and S0 exist. More importantly, the significant difference in group velocity between the two modes makes it possible to separate them in time domain. Benefit from that, a new method is proposed to extract pure S0 mode signal from the raw measurement data to improve the algorithm in interference (i.e. water loading) resisting. The results of the experiment show that the improved algorithm has the capability of providing accurate identification of damage in the presence of water loading.
引用
收藏
页码:1005 / 1012
页数:8
相关论文
共 18 条
[11]   A Study on Quantitative Lamb Wave Tomogram Via Modified RAPID Algorithm with Shape Factor Optimization [J].
Sheen, Bongjae ;
Cho, Younho .
INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING, 2012, 13 (05) :671-677
[12]  
Su Z, 2009, LECT NOTES APPL COMP, V48, P1, DOI 10.1007/978-1-84882-784-4
[13]   A damage diagnostic imaging algorithm based on the quantitative comparison of Lamb wave signals [J].
Wang, Dong ;
Ye, Lin ;
Lu, Ye ;
Li, Fucai .
SMART MATERIALS AND STRUCTURES, 2010, 19 (06)
[14]   Probabilistic Damage Identification Based on Correlation Analysis Using Guided Wave Signals in Aluminum Plates [J].
Wang, Dong ;
Ye, Lin ;
Su, Zhongqing ;
Lu, Ye ;
Li, Fucai ;
Meng, Guang .
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, 2010, 9 (02) :133-144
[15]   Probability of the presence of damage estimated from an active sensor network in a composite panel of multiple stiffeners [J].
Wang, Dong ;
Ye, Lin ;
Lu, Ye ;
Su, Zhongqing .
COMPOSITES SCIENCE AND TECHNOLOGY, 2009, 69 (13) :2054-2063
[16]   Probabilistic Diagnostic Algorithm for Identification of Multiple Notches Using Digital Damage Fingerprints (DDFs) [J].
Wang, Dong ;
Ye, Lin ;
Lu, Ye .
JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES, 2009, 20 (12) :1439-1450
[17]   Ultrasonic Lamb wave tomography in structural health monitoring [J].
Zhao, Xiang ;
Royer, Roger L. ;
Owens, Steven E. ;
Rose, Joseph L. .
SMART MATERIALS AND STRUCTURES, 2011, 20 (10)
[18]   Active health monitoring of an aircraft wing with embedded piezoelectric sensor/actuator network: I. Defect detection, localization and growth monitoring [J].
Zhao, Xiaoliang ;
Gao, Huidong ;
Zhang, Guangfan ;
Ayhan, Bulent ;
Yan, Fei ;
Kwan, Chiman ;
Rose, Joseph L. .
SMART MATERIALS AND STRUCTURES, 2007, 16 (04) :1208-1217