Digital examination of masonry bridge defects using point cloud

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Wu, S ORCID: https://orcid.org/0000-0002-5633-2229, Sen, A ORCID: https://orcid.org/0000-0001-8967-9475 and Talebi, S, 2022. Digital examination of masonry bridge defects using point cloud. In: Aouad, G, Al Khaja, A, Al Shalabi, R and Ali, M, eds., Proceeding of the International Conference on the Leadership and Management of Projects in the Digital Age (IC:LAMP 2022). Bahrain: Applied Science Univeristy, pp. 119-128. ISBN 9789995808082

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Abstract

There are significant numbers of masonry bridges on the U.K. railway network, which require regular condition monitoring by asset engineers and identify defects that would lead to structural failures. The most common defects observed in masonry structures are crack, spalling, bulging, joint defects, and loss of section. As a part of the bridge examination process, an engineer needs to be onsite, and sometimes it causes traffic interruption for a significant period to facilitate the examination process. Replacing the physical examination with a digital examination process would significantly reduce the number of site visits and traffic interruptions, which speed up the examination process and improve the safety and the efficiency of engineers' work. Point cloud data captured during the digital examination process has been successfully used in several studies to understand the accurate geometry of bridge structures, including detecting certain defects. Many software tools are available to perform the analysis on point cloud data. However, there is a gap in mapping and comparing the capabilities of that software in relation to the detection of masonry bridge defects. Therefore, this paper aims to analyse the ability of commonly used point cloud data analysis software to detect masonry defects in railway bridges.

Item Type:	Chapter in book
Description:	Paper presented at the International Conference on the Leadership and Management of Projects in the Digital Age (IC:LAMP 2022), Kingdom of Bahrain, 27-28 November 2022.
Creators:	Wu, S., Sen, A. and Talebi, S.
Publisher:	Applied Science Univeristy
Place of Publication:	Bahrain
Date:	27 November 2022
ISBN:	9789995808082
Identifiers:	Number Type 1639466 Other
Rights:	The proceedings has been issued as per the approval of the General Secretariat of the Higher Education Council - Kingdom of Bahrain. Approval No. 1224-22.
Divisions:	Schools > School of Architecture, Design and the Built Environment
Record created by:	Jonathan Gallacher
Date Added:	31 Jan 2023 15:10
Last Modified:	31 Jan 2023 15:12
URI:	https://irep.ntu.ac.uk/id/eprint/48132