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Lamb wave-based structural health monitoring for aircraft riveted lap joint

  • Beihang University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This study presents a Lamb wave-based structural health monitoring method for aircraft riveted lap joint. Lamb wave data of lap joint are processed and damage features are extracted to formulate crack quantification models. Four quantification models are proposed and studied. Probability of detection (POD) modeling is employed to provide a distribution of the actual crack size using the quantification model. Paris' model is used to characterize crack propagation. Bayesian method and Markov Chain Monte Carlo (MCMC) simulation are used to estimate the model parameters upon measurement data of lap joint. Results show predicted probabilistic fatigue life of lap joint is accurate.

Original languageEnglish
Title of host publicationProceedings of 2015 Prognostics and System Health Management Conference, PHM 2015
EditorsTingdi Zhao, Michael G. Pecht, Shunong Zhang
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467385534
DOIs
StatePublished - 12 Jan 2016
EventPrognostics and System Health Management Conference, PHM 2015 - Beijing, China
Duration: 21 Oct 201523 Oct 2015

Publication series

NameProceedings of 2015 Prognostics and System Health Management Conference, PHM 2015

Conference

ConferencePrognostics and System Health Management Conference, PHM 2015
Country/TerritoryChina
CityBeijing
Period21/10/1523/10/15

Keywords

  • Bayesian method
  • Lamb wave
  • Probability of detection
  • Riveted lap joint
  • Structural health monitoring

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