Bridge monitoring and assessment by high-resolution satellite remote sensing technologies

Gagliardi, Valerio, Bianchini Ciampoli, Luca, D'Amico, Fabrizio, Alani, Amir, Tosti, Fabio ORCID: https://orcid.org/0000-0003-0291-9937, Battagliere, Maria Libera and Benedetto, Andrea (2020) Bridge monitoring and assessment by high-resolution satellite remote sensing technologies. In: SPIE Future Sensing Technologies, 9-13 Nov 2020, Virtual.

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Official URL: https://doi.org/10.1117/12.2579700

Abstract

Satellite Remote-Sensing has been successfully applied for detection of natural-hazards, (e.g. seismic events, landslides and subsidence) and transport infrastructure monitoring over the last few years. Persistent Scatterer SAR Interferometry (PSI), is a satellite remote sensing technique able to measure ground displacements over the time. More specifically, the PSI technique is an evolution of the DInSAR technique and it is based on a statistical multi-temporal differential interferogram analysis. This allows to determine coherent stable-pixels over a data-stack of SAR images, in order to identify potential ground displacements. This study aims at demonstrating the potential of the PSI technique as an innovative health-monitoring methodology for the structural integrity of bridges. For this purpose, X‐Band COSMO‐SkyMed images provided by the Italian Space Agency (ASI) were acquired and processed in order to detect structural displacements of the Rochester Bridge in Rochester, UK. Outcomes of this investigation outlined the presence of various PSs over the inspected bridge, which were proven useful to achieve a more comprehensive monitoring methodology and to assess the structural integrity of the bridge. This research paves the way for the development of a novel interpretation approach relying on the integration between remote-sensing technologies and on-site surveys to improve upon current maintenance strategies for bridges and transport assets.

Item Type:	Conference or Workshop Item (Paper)
Identifier:	10.1117/12.2579700
Identifier:	10.1117/12.2579700
Additional Information:	Copyright (2020) 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 paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited. https://doi.org/10.1117/12.2579700. Valerio Gagliardi, Luca Bianchini Ciampoli, Fabrizio D'Amico, Amir M. Alani, Fabio Tosti, Maria Libera Battagliere, and Andrea Benedetto "Bridge monitoring and assessment by high-resolution satellite remote sensing technologies", Proc. SPIE 11525, SPIE Future Sensing Technologies, 1152506 (8 November 2020); https://doi.org/10.1117/12.2579700
Keywords:	Remote Sensing; Non-destructive assessment; Persistent Scatterer Interferometry (PSI); PSI monitoring; Bridge monitoring, X-Band, COSMO-SkyMed, multi-temporal InSAR
Subjects:	Construction and engineering > Civil and environmental engineering Construction and engineering > Digital signal processing Construction and engineering > Electrical and electronic engineering Construction and engineering > Civil and structural engineering Construction and engineering
Related URLs:	Organisation Publisher Publisher
Depositing User:	Fabio Tosti
Date Deposited:	06 Nov 2020 22:23
Last Modified:	28 Aug 2021 07:14
URI:	https://repository.uwl.ac.uk/id/eprint/7451

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References

[1] Hosseini Nourzad, S. H. and Pradhan, A. Vulnerability of Infrastructure Systems: Macroscopic Analysis of Critical Disruptions on Road Networks. Journal of Infrastructure Systems, 22(1), 04015014. (2016) doi:10.1061/(asce)is.1943-555x.0000266
[2] Morandi, R. The long-term behaviour of viaducts subjected to heavy traffic and situated in an aggressive environment: The viaduct on the Polcevera in Genoa. IABSE Reports of the Working Commissions, 032, 170–180, (1979)
[3] Calvi, G. M., Moratti, M., O’Reilly, G. J., Scattarreggia, N., Monteiro, R., Malomo, D., Martino Calvi, P., Pinho, R. Once upon a Time in Italy: The Tale of the Morandi Bridge. Structural Engineering International, 1–20. (2018) doi:10.1080/10168664.2018.1558033
[4] Cusumano, N., Siemiatycki, M., & Vecchi, V. The politicization of public–private partnerships following a mega-project disaster: the case of the Morandi Bridge Collapse. Journal of Economic Policy Reform, 1–17. (2020). doi:10.1080/17487870.2020.1760101
[5] Ko, J.M. and Ni, Y.Q., “Technology developments in structural health monitoring of large-scale bridges”, Eng. Struct., 27, 1715-1725 (2005)
[6] Benedetto, A., Bianchini Ciampoli, L., Brancadoro, M.G., Alani, A.M., Tosti, F. A Computer-Aided Model for the Simulation of Railway Ballast by Random Sequential Adsorption Process Computer-Aided Civil and Infrastructure Engineering, 33 (3), pp. 243-257. (2018)
[7] Alani, A.M., Aboutalebi, M., Kilic, G., “Applications of ground penetrating radar (GPR) in bridge deck monitoring and assessment”, J. Appl. Geo., 97, 45-54 (2013).
[8] Bianchini Ciampoli L., Artagan S. S., Tosti F., Gagliardi V., Alani A. M and Benedetto A., A comparative investigation of the effects of concrete sleepers on the GPR signal for the assessment of railway ballast, 17th International Conference on Ground Penetrating Radar (GPR), Rapperswil, pp. 1-4, (2018). doi:10.1109/ICGPR.2018.8441588
[9] Kongyang Chen, Mingming Lu, Xiaopeng Fan, Mingming Wei and Jinwu Wu, "Road condition monitoring using on-board Three-axis Accelerometer and GPS Sensor," 6th International ICST Conference on Communications and Networking in China, Harbin, 2011, pp. 1032-1037, (2011) doi: 10.1109/ChinaCom.2011.6158308.
[10] De Blasiis, M.R., Di Benedetto, A., Fiani, M., Mobile Laser Scanning Data for the Evaluation of Pavement Surface Distress, Remote Sensing, 12, 942. (2020)
[11] Barbarella, M., D’Amico, F., De Blasiis, M.R., Di Benedetto, A., Fiani, M., Use of Terrestrial Laser Scanner for Rigid Airport Pavement Management, Sensors, 18, 44. (2017)
[12] Olund J., & DeWolf J. Passive Structural Health Monitoring of Connecticut’s Bridge Infrastructure. Journal of Infrastructure Systems, 13(4), 330–339. (2007) doi:10.1061/(asce)1076-0342(2007)13:4(330).
[13] Chae, M. J., Yoo, H. S., Kim, J. Y., & Cho, M. Y. Development of a wireless sensor network system for suspension bridge health monitoring. Automation in Construction, 21, 237–252. (2012). doi:10.1016/j.autcon.2011.06.008
[14] Stabile T.A., Perrone A., Gallipoli M.R., Ditommaso R., Ponzo F.C. Dynamic survey of the Musmeci bridge by joint application of ground-based microwave radar interferometry and ambient noise standard spectral ratio techniquesIEEE GRSL, 10 (4), pp. 870-874, (2013)
[15] Sato H.P., Abe K., Ootaki O., GPS-measured land subsidence in Ojiya City, Niigata Prefecture, Japan. Eng. Geol., 67, 379–390, (2003).
[16] Mossop A., Segall P., Subsidence at The Geysers Geothermal Field, N. California from a comparison of GPS and leveling surveys. Geophys. Res. Lett., 24, 1839–1842, (1997).
[17] Ferretti, A., Prati, C., Rocca, F., Permanent scatters in SAR interferometry. IEEE Trans Geosci Remote Sens 39(1):8–20, (2001). https://doi.org/10.1109/36.898661
[18] Lanari R., Mora O., Manunta M., Mallorqui J.J, Berardino P., Sansosti E, A small baseline approach for investigating deformation on full resolution differential SAR interferograms. IEEE Trans. Geosci. Remote Sens. 42, 1377–1386, (2004).
[19] Ferretti, A., Prati, C., Rocca, F., Nonlinear subsidence rate estimation using permanent scatterers in differential SAR interferometry. IEEE Trans Geosci Remote Sens 38(5):2202–2212, (2000). https://doi.org/10.1109/36.86887 8
[20] Colesanti C., Ferretti A., Prati C. et al., Monitoring landslides and tectonic motions with the Permanent Scatterers Technique. Eng Geol 68(1–2):3–14. https ://doi.org/10.1016/S0013 -7952(02)00195 -3, (2003).
[21] Berardino P., Fornaro G., Lanari R., Sansosti E., A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms. IEEE Trans. Geosci. Remote Sens. 40, 2375– 2383, (2003).
[22] Ferretti A., Prati C., Rocca F. Analysis of permanent scatterers in SAR interferometry. 132:1–3, (2000).
[23] Ferretti A., Fumagalli A., Novali F., Prati C., Rocca F., Rucci A., A new algorithm for processing interferometric data-stacks: SqueeSARTM. IEEE Trans. Geosci. Remote Sens. (2011)
[24] Bianchini Ciampoli, L., Gagliardi, V., Clementini, C. et al. Transport Infrastructure Monitoring by InSAR and GPR Data Fusion. Surv Geophys 41, 371–394 (2020). https://doi.org/10.1007/s10712-019-09563-7
[25] Alani A. M., Tosti F., Bianchini Ciampoli L., Gagliardi V., Benedetto A., Integration of GPR and InSAR methods for the health monitoring of masonry arch bridges. NDT&E International. (2020) https://doi.org/10.1016/j.ndteint.2020.102288
[26] Yang Z., Schmid F., Roberts C., Assessment of railway performance by monitoring land subsidence. In: 6th IET conference on railway condition monitoring (RCM 2014), pp 1–6. https ://doi. org/10.1049/cp.2014.1000, (2014).
[27] Tosti F., Gagliardi V., D'Amico F., Alani A.M., Transport infrastructure monitoring by data fusion of GPR and SAR imagery information. Transp Res Proc 2020; 45:771-778. 721, (2020). https:// doi.org/10.1016/j.trpro.2020.02.097
[28] Chang L., Dollevoet R. P. B. J., &. Hanssen R. F, Nationwide Railway Monitoring Using Satellite SAR Interferometry. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10(2), 596–604. doi:10.1109/jstars.2016.2584783 (2017).
[29] Qin X, Liao M., Zhang L., & Yang M., Structural Health and Stability Assessment of High-Speed Railways via Thermal Dilation Mapping with Time-Series InSAR Analysis. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10(6), 2999–3010. doi:10.1109/jstars.2017.2719025 (2017).
[30] Barla G., Tamburini A., Del Conte S., Giannico C., InSAR monitoring of tunnel induced ground movements. Geomechanik und Tunnelbau 9(1):15–22, (2016). https://doi.org/10.1002/geot.20150 0052
[31] Perissin D., Wang Z., & Lin H., Shanghai subway tunnels and highways monitoring through Cosmo-SkyMed Persistent Scatterers. ISPRS Journal of Photogrammetry and Remote Sensing, 73, 58–67. (2012). doi:10.1016/j.isprsjprs.2012.07.002
[32] Koudogbo F., Urdiroz A., Robles JG., Chapron G., Lebon G., Fluteaux V., Priol G. Radar interferometry as an innovative solution for monitoring the construction of the Grand Paris Express metro network—first results. In: World tunnel conference, 2–25 April, Dubai, (2018)
[33] Gagliardi V., Benedetto A., Bianchini Ciampoli L., D’amico F., Alani M., Tosti F., Health‐Monitoring Approach for Transport Infrastructure and Bridges by Satellite Remote‐Sensing Persistent Scatterers Interferometry (PSI). Proc. SPIE 11534, Earth Resources and Environmental Remote Sensing/GIS Applications XI, 115340K (2020). https://doi.org/10.1117/12.2572395
[34] D’Amico F., Gagliardi V., Bianchini Ciampoli L., Tosti F., Integration of InSAR and GPR Techniques for Monitoring Transition Areas in Railway Bridges. NDT&E International. (2020). https://doi.org/10.1016/j.ndteint.2020.102291
[35] Jung J., Kim D-J, Palanisamy Vadivel SK, Yun S-H. Long-term deflection monitoring for bridges using X and C-band time-series SAR interferometry. Remote Sens;11(11):1258. 715 (2019) https://doi.org/10.3390/rs11111258
[36] Bianchini Ciampoli L., Gagliardi V., Calvi A., D’Amico F., Tosti F., Automatic network-level bridge monitoring by integration of InSAR and GIS catalogues. Proceedings of SPIE - The International Society for Optical Engineering, 11059, (2019). DOI: 10.1117/12.2527299
[37] Jiang L. and Lin H., Integrated analysis of SAR interferometric and geological data for investigating long-term reclamation settlement of Chek Lap Kok Airport, Hong Kong. Engineering Geology, 110(3-4), 77–92. doi:10.1016/j.enggeo.2009.11.005 (2010).
[38] Bianchini Ciampoli, L.; Gagliardi, V.; Ferrante, C.; Calvi, A.; D’Amico, F.; Tosti, F. Displacement Monitoring in Airport Runways by Persistent Scatterers SAR Interferometry. Remote Sens. (2020), 12, 3564. https://doi.org/10.3390/rs12213564
[39] Dalla Via G., Crosetto M., and Crippa B., Resolving vertical and east-west horizontal motion from differential interferometric synthetic aperture radar: The L'Aquila earthquake. Journal of geophysical research: solid earth 117, no. B2 (2012).
[40] Gagliardi V., Bianchini Ciampoli L., D'Amico F., Tosti F., Alani A and Benedetto A. A Novel Geo-Statistical Approach for Transport Infrastructure Network Monitoring by Persistent Scatterer Interferometry (PSI). In: IEEE Radar Conference 2020, Florence, Italy. (2020).
[41] Wright T. J., Parsons B. E., & Lu Z., Toward mapping surface deformation in three dimensions using InSAR. Geophysical ResearchLetters, 31, L01607. https://doi.org/10.1029/2003GL018827 (2004).
[42] Rochster Bridge Trust, Official site, https://rbt.org.uk/bridges/. Internet resource accessed 2020-10-01
[43] Italian Space Agency (2007) CSK System Description & Users Guide, www.asi.it. Internet resource accessed 2020-10-01
[44] E-geos, an ASI-Telespazio Company. https://www.e-geos.it/#/satellite-hub/general/satellite-detail/csk ,Internet resource accessed 2020-10-01
[45] Battagliere, M. L., Covello, F., & Coletta, A., “COSMO-SkyMed Background Mission: overview, objectives and results”, 63rd International Astronautical Congress, Naples 1- 5 October 2012.
[46] SARscape technical description, 2012. Internet resource accessed 2020-10-01

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Bridge monitoring and assessment by high-resolution satellite remote sensing technologies

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