Loughborough University
Browse
HthwohlP-ICCCBE2016-Challengesofbridgemaintenanceinspection.pdf (177.41 kB)

Challenges of bridge maintenance inspection

Download (177.41 kB)
conference contribution
posted on 2019-05-16, 15:22 authored by Philipp Huthwohl, Ruodan Lu, Ioannis Brilakis
Bridges are amongst the largest, most expensive and complex structures, which makes them crucial and valuable transportation asset for modern infrastructure. Bridge inspection is a crucial component of monitoring and maintaining these complex structures. It provides a safety assessment and condition documentation on a regular basis, noting maintenance actions needed to counteract defects like cracks, corrosion and spalling. This paper presents the challenges with existing bridge maintenance inspection as well as an overview on proposed methods to overcome these challenges by automating inspection using computer vision methods. As a conclusion, existing methods for automated bridge inspection are able to detect one class of damage type based on images. A multiclass approach that also considers the 3D geometry, as inspectors do, is missing.

Funding

Trimble, EPSRC and the Infravation SeeBridge project.

History

School

  • Architecture, Building and Civil Engineering

Published in

Proceeding of 16th International Conference on Computing in Civil and Building Engineering

Citation

HUTHWOHL, P., LU, R. and BRILAKIS, I., 2016. Challenges of bridge maintenance Inspection. IN: Yabuki, N. and Makanae, K. (eds). Proceedings of the 16th International Conference on Computing in Civil and Building Engineering (ICCCBE2016), Osaka, Japan, 6-8 July 2018, pp.51-58.

Publisher

© ICCCBE2016 Organizing Committee

Version

  • VoR (Version of Record)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2016

Notes

This is a conference paper.

ISBN

9784990737122

Language

  • en

Location

Osaka, Japan

Usage metrics

    Loughborough Publications

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC