Condition assessment of structures using smartphones: a position independent multi-epoch imaging approach

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Kromanis, R. ORCID: 0000-0003-3477-1666 and Liang, H. ORCID: 0000-0001-9496-406X, 2018. Condition assessment of structures using smartphones: a position independent multi-epoch imaging approach. In: 9th European Workshop on Structural Health Monitoring Series (EWSHM), Manchester Hilton, Manchester, 10-13 July 2018.

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Abstract

Applications of vision-based technologies are becoming more prevalent in deformation monitoring of civil structures, especially bridges. Feature recognition, detection and tracking algorithms are developed to analyse structural response. For example, movements of structural features such as bolts in steel bridges can be tracked when a truck crosses a bridge. In order to measure small structural movements, good quality and high resolution images are needed. Developments in smartphone technologies have resulted in very good quality on board cameras. Bridge inspectors could use smartphone technologies during visual inspections as they are readily available. Cameras have been used in structural deformations monitoring, however, the challenge is to make sure that the camera is placed in the same location to allow accurate comparison. This study explores if multi-epoch imaging approach can be used to collect accurately structural displacements when capturing images of a structure from different positions. A laboratory beam served as a testbed. Smartphones placed at different positions were used to capture deformations of the beam in healthy and damaged states. Structural feature were selected, and their location were estimated from images. Feature locations from all smartphones were transformed to the reference coordinate system as derived from one smartphone. Results show that feature locations can be accurately transformed to the reference coordinate system, from which difference between undamaged and damaged states of the beam can be recognized.

Item Type:	Conference contribution
Creators:	Kromanis, R. and Liang, H.
Date:	July 2018
Divisions:	Schools > School of Architecture, Design and the Built Environment Schools > School of Science and Technology
Record created by:	Jonathan Gallacher
Date Added:	20 Sep 2018 13:49
Last Modified:	20 Sep 2018 13:52
URI:	https://irep.ntu.ac.uk/id/eprint/34534