Guided wave approach for structural health monitoring

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


Structural health monitoring (SHM) is an emerging technology aiming at the on-line diagnosis of damages inside structures during their operation. Successful implementation of SHM allows enhancing the safety and evaluating residual lifetime of structures in service, thus avoiding exorbitant maintenance costs. SHM characterizes various defect-related changes in structures in an online and real-Time perspective, proves itself a promising tool to reduce the risks of structural failure. Among various SHM approaches, the one based on acousto-ultrasonic (AU) waves has become the research highlight due to its appealing advantages like larger monitoring range and high sensitivity to damage. Particularly, guided-wave-based SHM is of great research interest due to its relevance to engineering structures. Development of guided-wave-based SHM solutions typically involves the consideration of three main issues: (1) wave excitation, propagation and acquisition; (2) wave-damage interaction and underlying mechanisms; and (3) SHM systems and damage identification algorithms. This review paper highlights the state-of-The-Art of existing SHM approaches and summarizes some of the recent progress made in the research group led by the author, covering all three aforementioned aspects. Existing challenges and possibilities are discussed.
Original languageEnglish
Title of host publicationWCCM 2017 - 1st World Congress on Condition Monitoring 2017
PublisherBritish Institute of Non-Destructive Testing
Publication statusPublished - 1 Jan 2017
Event1st World Congress on Condition Monitoring 2017, WCCM 2017 - ILEC Conference Centre, London, United Kingdom
Duration: 13 Jun 201716 Jun 2017


Conference1st World Congress on Condition Monitoring 2017, WCCM 2017
Country/TerritoryUnited Kingdom

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Safety, Risk, Reliability and Quality
  • Electrical and Electronic Engineering


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