Application of numerical simulation of submersed rock-berm structure under anchor collision for structural health monitoring of submarine power cables

2015 ◽  
Vol 15 (2) ◽  
pp. 299-314 ◽  
Author(s):  
Jinho Woo ◽  
Dongha Kim ◽  
Won-Bae Na
2007 ◽  
Vol 347 ◽  
pp. 505-510 ◽  
Author(s):  
Abdelhakim Ouahabi ◽  
Marc Thomas ◽  
Makiko Kobayashi ◽  
Cheng Kuei Jen

A new approach is proposed for conducting structural health monitoring, based on newly developed piezoceramic sensors. They are fabricated by a sol-gel spray technique. The potential application of these sensors may be broad. These sensors have been evaluated for structural health monitoring studies. The purpose of the present study aims the detection and the localization of defects by the means of these new piezoceramic sensors. Nine sensors were integrated onto a metallic plate with moving masses. The plate was excited by an impact at a specific location and the vibratory signals from sensors were recorded simultaneously. The analysis of signals obtained from nine locations was correlated with a numerical simulation in order to identify at each time the location of the mass.


2017 ◽  
Vol 29 (5) ◽  
pp. 969-985 ◽  
Author(s):  
Guoyi Li ◽  
Rajesh Kumar Neerukatti ◽  
Aditi Chattopadhyay

Composite materials are used in many advanced engineering applications because of high specific strength and stiffness. Their complex damage mechanisms and failure modes, however, are still not well-understood, thus challenging the application safety. Ultrasonic guided waves are promising structural health monitoring tools used to determine the operational safety of composite materials. In this article, a fully coupled numerical simulation model is used to study wave propagation and dispersion in composites under varying sensor locations, propagating orientations, excitation frequencies, and damage locations. The model is based on the local interaction simulation approaches/sharp interface model wherein output sensor signals are processed using the matching pursuit decomposition algorithm to study the signal features in the time–frequency domain. The changes in signals due to varying damage locations with respect to the through-thickness direction are studied under anti-symmetrical and symmetrical excitation scenarios. The results show that the signal from symmetric excitation is more sensitive to the damage location, while the signal from anti-symmetric excitation is less dispersive. It indicates that comprising effective feature extraction technique with the accurate physics-based numerical simulation model can be implemented to develop robust structural health monitoring framework for composites.


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