Guided wave and probability based diagnostic imaging for detection of multiple welding damages in welded tubular steel structures

X. Lu, M. Lu, Li Min Zhou, Zhongqing Su, Li Cheng, L. Ye, G. Meng

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

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.
Original languageEnglish
Title of host publicationStructural Health Monitoring 2011
Subtitle of host publicationCondition-Based Maintenance and Intelligent Structures - Proceedings of the 8th International Workshop on Structural Health Monitoring
Pages79-86
Number of pages8
Volume1
Publication statusPublished - 1 Dec 2011
Event8th International Workshop on Structural Health Monitoring 2011: Condition-Based Maintenance and Intelligent Structures - Stanford, CA, United States
Duration: 13 Sep 201115 Sep 2011

Conference

Conference8th International Workshop on Structural Health Monitoring 2011: Condition-Based Maintenance and Intelligent Structures
Country/TerritoryUnited States
CityStanford, CA
Period13/09/1115/09/11

Keywords

  • Damage presence probability
  • Diagnostic imaging
  • Guided wave
  • Welded structures

ASJC Scopus subject areas

  • Civil and Structural Engineering

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