Localized Damage Detection of Structures Subject to Multiple Ambient Excitations Using Two Distance Measures for Autoregressive Models

2009 ◽  
Vol 8 (3) ◽  
pp. 207-222 ◽  
Author(s):  
Haitao Zheng ◽  
Akira Mita
Keyword(s):  
Damage Detection ◽  
Autoregressive Models ◽  
Distance Measures ◽  
Localized Damage

Design and performance validation of a compact wireless ultrasonic device for localized damage detection

2016 ◽  
Vol 19 (2) ◽  
pp. 270-282 ◽  
Author(s):  
Shuo Chen ◽  
Xinjun Dong ◽  
Jin-Yeon Kim ◽  
Shengxing Wu ◽  
Yang Wang
Keyword(s):  
Damage Detection ◽  
Ultrasonic Device ◽  
And Performance ◽  
Performance Validation ◽  
Localized Damage

A Note on Wavelet-Based Method for Damage Detection

2001 ◽  
Vol 68 (5) ◽  
pp. 812-814 ◽  
Author(s):  
L. Zhang ◽  
S. T. Quek ◽  
Q. Wang
Keyword(s):  
Wavelet Transform ◽  
Boundary Conditions ◽  
Damage Detection ◽  
Time History ◽  
Gabor Wavelet ◽  
History Data ◽  
Gabor Wavelet Transform ◽  
Sensor Position ◽  
Degree Of Damage ◽  
Localized Damage

The applicability of Gabor wavelet transform of time history data in detecting a thin damage in beam is examined. For the case where the damage position is completely unknown, the use of two load positions is suggested. Cases considered are the position of the sensors relative to the damage and load positions, the height of the damage, the severity of the damage, and the effect of boundary conditions. The results show that the method is suitable for detecting localized damage and relatively robust in terms of sensor position, damage height, and degree of damage.

Damage Detection Through Pipe Bends

2017 ◽  
Vol 139 (5) ◽  
Author(s):  
Bouko Vogelaar ◽  
Michael Golombok
Keyword(s):  
Carbon Steel ◽  
Damage Detection ◽  
Guided Wave ◽  
Wave Reflections ◽  
Bend Pipe ◽  
Steel Pipes ◽  
Structural Health ◽  
Industrial Pipeline ◽  
Localized Damage

Axial pipeline defects are detectable from torsional guided wave reflections through 90 deg elbows. This paper demonstrates that detection of localized damage in carbon steel pipes with a so-called standard long and very long radius elbow is possible using a single permanently installed source–receiver pair. We use dispersion imaging to determine why this is not possible in a short radius elbow pipe. Although the remote damage is detected in a standard short radius bend pipe, there is not enough signal to detect localized damage. Since pipeline bends are normally of at least standard long radius, the acoustical behavior is similar to that previously determined in straight pipes. The reflective method can thus be applied fruitfully to monitor structural health beyond industrial pipeline bends.

Statistics based localized damage detection using vibration response

2014 ◽  
Vol 14 (2) ◽  
pp. 85-104 ◽  
Author(s):  
Siavash Dorvash ◽  
Shamim N. Pakzad ◽  
Elizabeth L. LaCrosse
Keyword(s):  
Damage Detection ◽  
Vibration Response ◽  
Localized Damage

Ultrasonic Reflector Classification with Autoregressive Models

1989 ◽  
Vol 1 (1) ◽  
pp. 235-246
Author(s):  
J. Richard Houghton ◽  
Peitao Shen
Keyword(s):  
Autoregressive Models

Antioptimization for comparison of alternative structural models and damage detection

AIAA Journal ◽  
1999 ◽  
Vol 37 ◽  
pp. 857-864
Author(s):  
S. N. Gangadharan ◽  
E. Nikolaidis ◽  
K. Lee ◽  
R. T. Haftka ◽  
R. Burdisso
Keyword(s):  
Damage Detection ◽  
Structural Models
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