Large Structures Monitoring Using Unmanned Aerial Vehicles

W. K. Chiu, W. H. Ong, T. Kuen, F. Courtney

Research output: Chapter in Book/Report/Conference proceedingConference PaperOther

4 Citations (Scopus)

Abstract

Structural health monitoring offers significant benefits in reducing whole of life costs of infrastructure ownership, and improves the reliability and availability of high value assets. There are significant works towards applying structural health monitoring (SHM) to aircraft, maritime and civil structures. Numerous techniques have been developed to facilitate the monitoring of the structural components and the different classes of defects expected. One of the distinct advantages of SHM is the ability to monitor hard-to-inspect areas of an operating structural component. There is another attractive feature of SHM; incorporating SHM into new design offers a perspective into concept of "safety in design". The integrated sensing system can be used initially to verify the design safety factors used when the structure is first commissioned and subsequently for integrity assessment purposes. In both purposes, the challenge remains with sensor placement, and the durability and reliability of the sensing elements located on the structure. Recent advances in non-contact measurement techniques have overcome some of these limitations. In most of these works, the inspection region is limited due to the constraints associated with the hardware requirement. This paper will discuss the use of displacement measurements using remotely piloted aerial vehicles (RPV) for the condition assessment of a large membrane floating cover that is approximately 170 m x 420 m. It is envisaged that the health monitoring of the membrane can be assisted by the periodic monitoring and assessment of the deformation of the large membrane cover. The collation of the profile of the membrane over time will provide important information for the structural integrity assessment of the floating cover.

Original languageEnglish
Title of host publicationProcedia Engineering
Pages415-423
Number of pages9
Volume188
DOIs
Publication statusPublished - 2017
EventAsia-Pacific Workshop on Structural Health Monitoring 2016: From Sensing to Diagnosis and Prognosis - Hobart, Australia
Duration: 7 Dec 20169 Dec 2016
Conference number: 6th

Publication series

NameProcedia Engineering
PublisherElsevier
ISSN (Print)1877-7058

Workshop

WorkshopAsia-Pacific Workshop on Structural Health Monitoring 2016
Abbreviated titleAPWSHM 2016
CountryAustralia
CityHobart
Period7/12/169/12/16

Keywords

  • photogrammetry
  • Structural health monitoring
  • unmanned aerial vehicles

Cite this

Chiu, W. K., Ong, W. H., Kuen, T., & Courtney, F. (2017). Large Structures Monitoring Using Unmanned Aerial Vehicles. In Procedia Engineering (Vol. 188, pp. 415-423). (Procedia Engineering). https://doi.org/10.1016/j.proeng.2017.04.503
Chiu, W. K. ; Ong, W. H. ; Kuen, T. ; Courtney, F. / Large Structures Monitoring Using Unmanned Aerial Vehicles. Procedia Engineering. Vol. 188 2017. pp. 415-423 (Procedia Engineering).
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Chiu, WK, Ong, WH, Kuen, T & Courtney, F 2017, Large Structures Monitoring Using Unmanned Aerial Vehicles. in Procedia Engineering. vol. 188, Procedia Engineering, pp. 415-423, Asia-Pacific Workshop on Structural Health Monitoring 2016, Hobart, Australia, 7/12/16. https://doi.org/10.1016/j.proeng.2017.04.503

Large Structures Monitoring Using Unmanned Aerial Vehicles. / Chiu, W. K.; Ong, W. H.; Kuen, T.; Courtney, F.

Procedia Engineering. Vol. 188 2017. p. 415-423 (Procedia Engineering).

Research output: Chapter in Book/Report/Conference proceedingConference PaperOther

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Chiu WK, Ong WH, Kuen T, Courtney F. Large Structures Monitoring Using Unmanned Aerial Vehicles. In Procedia Engineering. Vol. 188. 2017. p. 415-423. (Procedia Engineering). https://doi.org/10.1016/j.proeng.2017.04.503