Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/31632
Title: Guided wave and probability based diagnostic imaging for detection of multiple welding damages in welded tubular steel structures
Authors: Lu, X
Lu, M
Zhou, L 
Su, Z 
Cheng, L 
Ye, L
Meng, G
Keywords: Damage presence probability
Diagnostic imaging
Guided wave
Welded structures
Issue Date: 2011
Source: Structural health monitoring 2011 : Condition-based maintenance and intelligent structures - Proceedings of the 8th International Workshop on Structural Health Monitoring, 2011, v. 1, p. 79-86 How to cite?
Abstract: Propagation of guided waves (GWs) in a welded tubular steel structure (WTSS) with rectangular cross-section is investigated using experimental analysis and finite element method (FEM) simulation with the purpose of identifying multiple welding damages on it. A sensor network made up of sixteen piezoelectric wafers is established on the WTSS, generating and collecting GWs. With the aid of a series of signal processing, a time-domain feature, termed 'time of maximal difference' (ToMD) is extracted from each captured GW signal. Base on the ToMDs, a novel concept 'damage presence probability' (DPP) is consequently defined. Finally, a probability-based damage imaging approach and a two-level image fusion scheme are adopted to predict presence and location of two different damages in welding zones of the WTSS as validation. Both simulation and experimental results demonstrate the effectiveness of the developed approach for identifying multiple damages in similar structures.
Description: 8th International Workshop on Structural Health Monitoring 2011: Condition-Based Maintenance and Intelligent Structures, Stanford, CA, 13-15 September 2011
URI: http://hdl.handle.net/10397/31632
ISBN: 9781605950532
Appears in Collections:Conference Paper

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