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Structure Deformation Measurement with Terrestrial Laser Scanner at Pathein Bridge in Myanmar

Author(s):



Medium: journal article
Language(s): English
Published in: Journal of Disaster Research, , n. 1, v. 13
Page(s): 40-49
DOI: 10.20965/jdr.2018.p0040
Abstract:

In Myanmar, defects and possible deformation were reported in many long-span suspension bridges. The current state of bridge infrastructure must be inspected, so that deterioration can be stalled and failure can be prevented. A 3D laser scanner, specifically the terrestrial laser scanner (TLS), has demonstrated the ability to capture surface geometry with millimeter accuracy. Consequently, TLS technology has received significant interest in various applications including in the field of structural survey. However, research on its application in large bridge structure remains limited. This study examines the use of TLS point cloud for the measurement of three deformation behaviors at the Pathein Suspension Bridge in Myanmar. These behaviors include tower inclination, hanger inclination, and deflection of bridge truss. The measurement results clearly captured the deformation state of the bridge. A comparison of the measurement results with available conventional measurements yielded overall agreement. However, errors were observed in some areas, which could be due to noise and occlusion in the point cloud model. In this study, the advantages of TLS in providing non-discrete data, direct measurement in meaningful unit, and access to difficult-to-access sections, such as top of towers or main cables, were demonstrated. The limitations of TLS as observed in this study were mainly influenced by external factors during field survey. Hence, it was suggested that further study on appropriate TLS surveying practice for large bridge structure should be conducted.

Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.20965/jdr.2018.p0040.
  • About this
    data sheet
  • Reference-ID
    10684930
  • Published on:
    13/08/2022
  • Last updated on:
    18/09/2022
 
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