Sotoudeh, Saeed, Lantini, Livia ORCID: https://orcid.org/0000-0002-0416-1077, Munisami, Kevin, Alani, Amir M. and Tosti, Fabio ORCID: https://orcid.org/0000-0003-0291-9937 (2023) An Investigation into the Acquisition Parameters for GB-SAR Assessment of Bridge Structural Components. In: EGU General Assembly 2023, 23-28 Apr 2023, Vienna, Austria.

	PDF EGU23-8667.pdf - Published Version Restricted to Repository staff only Download (318kB)
Preview	PDF (PDF/A) A.2EGU23-8667.pdf - Published Version Available under License Creative Commons Attribution. Download (254kB) | Preview

Abstract

Structural health monitoring (SHM) is a necessary measure to maintain bridge infrastructure safe. To this purpose, remote sensing has proven effective in acquiring data with high accuracy in relatively short time. Amongst the available methods, the ground-based synthetic aperture radar (GB-SAR) can detect sub-zero deflections up to 0.01 mm generated by moving vehicles or the environmental excitation of the bridges [1]. Interferometric radars are also capable of data collection regardless of weather, day, and night conditions (Alba et al., 2008). However, from the available literature - there is lack of studies and methods focusing on the actual capabilities of the GB-SAR to target specific structural elements and components of the bridge - which makes it difficult to associate the measured deflection with the actual bridge section. According to the antenna type, the footprint of the radar signal gets wider in distance which encompasses more elements and the presence of multiple targets in the same resolution cell adds uncertainty to the acquired data (Michel & Keller, 2021). To this effect, the purpose of the present research is to introduce a methodology for pinpointing targets using GB-SAR and aid the data interpretation. An experimental procedure is devised to control acquisition parameters and targets, and being able to analyse the returned outputs in a more clinical condition. The outcome of this research will add to the existing literature in terms of collecting data with enhanced precision and certainty.

Keywords
Structural Health Monitoring (SHM), GB-SAR, Remote Sensing, Interferometric Radar

Acknowledgements
This research was funded by the Vice-Chancellor’s PhD Scholarship at the University of West London.

References
[1] Benedettini, F., & Gentile, C. (2011). Operational modal testing and FE model tuning of a cablestayed bridge. Engineering Structures, 33(6), 2063-2073.
[2] Alba, M., Bernardini, G., Giussani, A., Ricci, P. P., Roncoroni, F., Scaioni, M., Valgoi, P., & Zhang, K. (2008). Measurement of dam deformations by terrestrial interferometric techniques. Int.Arch.Photogramm.Remote Sens.Spat.Inf.Sci, 37(B1), 133-139.
[3] Michel, C., & Keller, S. (2021). Advancing ground-based radar processing for bridge infrastructure monitoring. Sensors, 21(6), 2172.

Item Type:	Conference or Workshop Item (Paper)
Identifier:	10.5194/egusphere-egu23-8667
Identifier:	10.5194/egusphere-egu23-8667
Keywords:	Structural Health Monitoring (SHM); GB-SAR; Remote Sensing; Interferometric Radar
Subjects:	Computing Construction and engineering
Depositing User:	Livia Lantini
Date Deposited:	18 Sep 2023 12:43
Last Modified:	18 Sep 2023 12:43
URI:	https://repository.uwl.ac.uk/id/eprint/10248

Actions (login required)

View Item