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ME Seminar - Advancing a non-contact structural and prognostic health assessment of large critical structures

Event and Seminar

ME Seminar20241205web2
  • Date

    05 Dec 2024

  • Organiser

    Department of Mechanical Engineering, PolyU

  • Time

    14:30 - 15:30

  • Venue

    DE306, PolyU Campus Map  

Remarks

Registration is NOT required for this seminar. Limited seats are available on a first-come first-served basis. Attendees can apply for an e-certificate of attendance during the seminar. Latecomers or early leavers of the seminar might NOT be eligible for an attendance certificate.

Guest Speaker: Prof. Wing CHIU

Department of Mechanical & Aerospace Engineering
Monash University

Wing Chiu is a member of academic staff at the Department of Mechanical & Aerospace Engineering, Monash University. His research interests are in the fields of structural mechanics, structural health monitoring and advanced composite structures. He has long-standing research collaborations with researchers from Australia, USA, Europe, Singapore and Indonesia. Chiu’s work on structural health monitoring of aerospace structures has led to him extending his work to civil structures and bio-medical structures. He co-chairs the Asia Pacific Workshop Structural Health Monitoring and is a member of the Editorial Board of two International Journals - Polymers and Polymer Composites and the International Journal of Structural Health Monitoring. Chiu applies his engineering knowledge to solve everyday problems through professional engineering consultancies in engineering noise and vibration. He is passionate about undergraduate education and in infusing solutions to real world engineering issues in his engineering courses.

Abstract

This presentation will provide an overview of the conceptual development of an advanced engineering analysis tool designed to support the future creation of a digital twin for the floating cover at the Western Treatment Plant in Melbourne, Australia. The foundational work has demonstrated the effectiveness of an Unmanned Aerial Vehicle (UAV)-based photogrammetry methodology in generating a digital elevation model of the large floating cover. Through regular UAV flights, substantial datasets have been acquired, presenting opportunities to leverage this information for a deeper understanding of the interactions between operational conditions and the structural response of the floating cover. The presentation discusses the current findings and their implications, clarifying how these outcomes contribute to the ongoing development of an advanced digital twin for the floating cover.

 

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