Bianchini Ciampoli, Luca, Gagliardi, Valerio, Calvi, Alessandro, D'Amico, Fabrizio and Tosti, Fabio ORCID: https://orcid.org/0000-0003-0291-9937 (2019) Automatic network-level bridge monitoring by integration of InSAR and GIS catalogues. In: SPIE Optical Metrology 2019, 24-27 June 2019, Munich, Germany.

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Abstract

Smart monitoring of critical civil engineering infrastructures has become a priority nowadays as ageing of construction materials may have dramatic consequences on the community. The issue is exacerbated as it applies to many structures at the network level rather than to single structures or limited areas. To this effect, catalogues for assessment of decay conditions and identification of maintenance actions are crucial pieces of information for infrastructure management purposes.
Within this context, innovative non-destructive methods, such as space-borne techniques, have been increasingly used for monitoring purposes in the past two decades. Among these, the Interferometric Synthetic Aperture Radar (InSAR) imagery technique is gaining momentum nowadays. This method is used to monitor ground and infrastructure displacements at the large scale with a millimeter resolution. It can compare radar satellite images over time, and it is capable to measure variations accurately using interferometry. An advantage of using InSAR techniques is that these are not affected by cloudiness as well as lighting conditions, since data can be also collected at night time. On the contrary, InSAR is computational-demanding as it requires to filter out unnecessary information from the entire captured area to obtain data on the target domain. Most common applications include landslide assessment and monitoring of surface deformations following major seismic events.
This paper reports a methodology for the assessment of surface deformations of viaducts by reducing drastically computational time. To this purpose, a multi-stage automatic bridge monitoring protocol is developed at the network level by integration of information into Geographic Information System (GIS) catalogues and use of the InSAR imagery technique. The first stage locates the viaducts in the area of interest by querying open data and inputting results into a GIS catalogue. On a second stage, an InSAR analysis of the identified bridges is performed. This approach allows an estimate of surface displacements as well as an identification of bridge areas affected by millimeter-scale settlements.
Fundamental theoretical and working principles of the two methodologies are first introduced in the paper. Advantages against drawbacks of each technique are then discussed. The last Section reports a case study and a discussion of the main results including conclusions and future prospects.
Keywords: network-level bridge monitoring; InSAR; GIS; multi-stage integrated methodology; critical infrastructure maintenance

Item Type:	Conference or Workshop Item (Paper)
Identifier:	10.1117/12.2527299
Identifier:	10.1117/12.2527299
Additional Information:	© Copyright (2019) Society of Photo‑Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this publication for a fee or for commercial purposes, and modification of the contents of the publication are prohibited. Luca Bianchini Ciampoli, Valerio Gagliardi, Alessandro Calvi, Fabrizio D'Amico, Fabio Tosti, "Automatic network level bridge monitoring by integration of InSAR and GIS catalogues," Proc. SPIE 11059, Multimodal Sensing: Technologies and Applications, 110590I (21 June 2019). DOI: https://doi.org/10.1117/12.2527299
Keywords:	network-level bridge monitoring; InSAR; GIS; multi-stage integrated methodology; critical infrastructure maintenance
Subjects:	Construction and engineering > Civil and environmental engineering Construction and engineering > Electrical and electronic engineering Construction and engineering > Civil and structural engineering Construction and engineering
Related URLs:	Publisher Publisher
Depositing User:	Fabio Tosti
Date Deposited:	04 Oct 2019 15:25
Last Modified:	04 Nov 2024 12:32
URI:	https://repository.uwl.ac.uk/id/eprint/6430

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