Can technology improve routine visual bridge inspections?

Author:

McRobbie Stuart G.1,Wright M. Alex2,Chan Andrew3

Affiliation:

1. Technology Development, TRL, Wokingham, UK; PhD Student, School of Civil Engineering, University of Birmingham, Birmingham, UK

2. Technology Development, TRL, Wokingham, UK

3. School of Civil Engineering, University of Birmingham, Birmingham, UK; now Deputy Dean of Information Technology and Engineering, Federation University, Australia

Abstract

This paper discusses the role of visual inspections in the UK highways bridge inspection regime, and how current practice results in inspection data that are less reliable than they could, and should, be. Evidence that visual inspections in general are not totally reliable is discussed. Similar problems have been overcome in other areas, such as pavement inspection, by using technological aids during the data collection and inspection process. It is hoped that better bridge condition data could be obtained by making use of technology to assist the visual inspection process on bridges. Some of the ways in which images could be recorded to make the inspection process more reliable and reproducible are discussed, and a prototype system that has been developed with the aim of providing a full, high-resolution image record of the visual condition of a bridge, which is suitable for use, is presented.

Publisher

Thomas Telford Ltd.

Subject

Building and Construction,Civil and Structural Engineering

Reference40 articles.

1. Analysis of Edge-Detection Techniques for Crack Identification in Bridges

2. PCA-Based algorithm for unsupervised bridge crack detection

3. Bevc L (2002) Inspection of Highway Structures – A European Perspective. Institution of Engineers of Ireland (IEI), Dublin, Ireland, Assessment of Bridges and Highway Infrastructure Seminar. Dublin, Ireland, pp. 53–64.

4. Review Paper: Health Monitoring of Civil Infrastructure

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