Abstract
This work shows the preliminary monitoring results by applying in situ and remote sensing systems to a school building located in Ariccia (Rome), within the WP6 “Structural Health Monitoring and Satellite Data” 2019–21 Reluis Project. In particular, the use of the remote sensing Differential Interferometry Synthetic Aperture Radar (DInSAR) has provided a spatial map of the displacement of the investigated structure and the corresponding time-series with the aim of monitoring deformation phenomena, focusing on the local scale analysis,which produces suitable results for urban monitoring and damage assessment. The DInSAR results have been integrated with the identification of the dynamic characteristics of the structure. In-situ data was provided by the Seismic Observatory of Structures (OSS), a network of permanent seismic monitoring systems managed by the Italian Department of Civil Protection (DPC). Modal parameters were identified from the accelerometric responses recorded at several floors of the buildings. The integrated use of the two techniques has allowed to confirm the healthiness of the investigated structure, even in presence of several seismic events occurred in the area during the monitoring period. This case represents a good example about how the integration of in-situ sensors with remotely sensed data is a key factor for a sustainable structural and infrastructural monitoring and can support the planning of both maintenance and safety management.
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References
Cuomo V, Soldovieri F, Bourquin F, El Faouzi NE, Dumoulin J (2020) The necessities and the perspectives of the monitoring/surveillance systems for multi-risk scenarios of urban areas including COVID-19 pandemic. In: Proceedings of 2020 TIEMS Conference, “Citizens and Cities Facing New Hazards and Threats, Nov 2020
Cuomo V, Soldovieri F, Ponzo FC, Ditommaso R (2018) A holistic approach to long term SHM of transport infrastructures. In: The International Emergency Management Society (TIEMS) Newsletter 33, pp 67–84
Soldovieri F, Dumoulin J, Ponzo FC, Crinière A, Bourquin F, Cuomo V (2014) Association of sensing techniques with a designed ICT architecture in the ISTIMES project: application example with the monitoring of the Musmeci bridge. In: EWSHM 2014, 7th European workshop on structural health monitoring, Nantes, France, 8–11 July 2014
Proto M et al (2010) Transport Infrastructure surveillance and Monitoring by Electromagnetic Sensing: the ISTIMES project. Sensors 10(12):10620–10639
Rytter A (1993) Vibrational based inspection of civil engineering structures. Ph.D. Thesis, University of Aalborg, Denmark
Doebling SW, Farrar CR, Prime MB (1998) A summary review of vibration-based damage identification methods. Shock Vib Dig 30(2):91–105
Stubbs N, Perk S, Sikorsky C, Choi S (2000) A global non-distructive damage assesment methodology for civil engineering structures. Int J Syst Sci 31(11):1361–1373
Ponzo FC, Ditommaso R, Auletta G, Mossucca A (2010) A fast method for structural health monitoring of Italian reinforced concrete strategic buildings. Bull Earthquake Eng 2010(8):1421–1434. https://doi.org/10.1007/s10518-010-9194-6
Devin A, Fanning PJ (2012) The evolving dynamic response of a four storey reinforced concrete structure during construction. Shock Vib 19(2012):1051–1059. https://doi.org/10.3233/SAV-2012-0711
Devin A, Fanning PJ (2012) Effect of Non-structural elements on the dynamic response of floors. In: Conference: topics on the dynamics of civil structures. https://doi.org/10.1007/978-1-4614-2413-0_41
Ditommaso R, Mucciarelli M, Ponzo FC (2012) Analysis of non-stationary structural systems by using a band-variable filter. Bull Earthquake Eng 2012(10):895–911. https://doi.org/10.1007/s10518-012-9338-y
Ditommaso R, Vona M, Gallipoli MR, Mucciarelli M (2013) Evaluation and considerations about fundamental periods of damaged reinforced concrete buildings. Nat Hazards Earth Syst Sci 13(1903–1912):2013. https://doi.org/10.5194/nhess-13-1903-2013
Ditommaso R, Ponzo FC (2015) Automatic evaluation of the fundamental frequency variations and related damping factor of reinforced concrete framed structures using the Short Time Impulse Response Function (STIRF). Eng Struct 82(2015):104–112
Iacovino C, Ditommaso R, Ponzo FC, Limongelli MP (2018) The Interpolation Evolution Method for damage localization in structures under seismic excitation. Earthquake Eng Struct Dyn 2018:1–20. https://doi.org/10.1002/eqe.3062
Gerardi V, Ditommaso R, Auletta G, Ponzo FC (2018). Reinforced concrete framed structures: numerical validation of two physical models capable to consider the stiffness contribution of infill panels on framed structures in operative conditions. Int J Earthquake Engineering, Anno XXXV, num 3
Serlenga V, Gallipoli MR, Ditommaso R, Ponzo FC, Tragni N, Perrone A, Stabile TA, Calamita G, Vignola L, Carso RF, Pietrapertosa D, Lapenna V. An integrated approach for structural behavior characterization of the Gravina Bridge (Matera, Southern Italy), Structural Health Monitoring 1–22.https://doi.org/10.1177/1475921720987544
Lamonaca BG, Nicoletti M, Spina D (2001) Permanent monitoring of the seismic response of civil structures in Italy: the Seismic Observatory of Structure Project (in Italian). Ingegneria Sismica 1
Dolce M, Nicoletti M, De Sortis A, Marchesini S, Spina D, Talanas F (2017) Osservatorio sismico delle strutture: the Italian structural seismic monitoring network. Bull Earthquake Eng 15:621–641
Stramondo S, Bignami C, Chini M, Pierdicca N, Tertulliani A (2006) Satellite radar and optical remote sensing for earthquake damage detection: results from different case studies. Int J Remote Sens 27:4433–4447
Ardizzone F, Bonano M, Giocoli A, Lanari R, Marsella M, Pepe A, Solaro G (2012) Analysis of ground deformation using SBAS-DInSAR technique applied to CosmoSkymed images, the test case of Roma urban area. In: Proceedings of SPIE8536, SAR Image Analysis, Modeling, and Techniques XII, 85360D
Mroueh H, Shahrour I (2003) A full3-Dfinite element analysis of tunnelling adjacent structures interaction. Comput Geotech 30:245–253
Chini M, Bignami C, Stramondo S, Pierdicca N (2008) Uplift and subsidence due to the 26 December 2004 Indonesian earthquake detected by SAR data. Int J Remote Sens 29:3891–3910
Massonnet D, Rossi M, Carmona C, Adragna F, Peltzer G, Feigl K, Rabaute T (1993) The displacement field of the Landers earthquake mapped by radar interferometry. Nature 364:138–142
Gamba P, Dell’acqua F, Trianni G (2007) Rapid damage detection in the Bam area using multitemporal SAR and exploiting ancillary Data. IEEE Trans Geosci Remote Sens 45: 1582–1589
Matsuoka M, Yamazaki F, Ohkura H (2007) Damage mapping of the 2004 Niigataken Chuetsu earthquake using Radarsat images. In: Urban Remote Sensing Joint Event, 11–13 April 2007, Paris, France
Yonezawa HA, Takeuchi S (2001) Decorrelation of SAR data by urban damage caused by the 1995 Hoyogoken-Nanbu earthquake. Int J Remote Sens 22:1585–1600
Chini M, Pierdicca N, Emery WJ (2009) Exploiting SAR and VHR optical images to quantify damage caused by the 2003 Bam Earthquake. IEEE Trans Geosci Remote Sens 47:145–152
Ferretti A, Fumagalli A, Novali F, Prati C, Rocca F, Rucci A (2011) A new algorithm for processing interferometric data-stacks: SqueeSAR. IEEE Trans Geosci Remote Sens 49:3460–3470
Lanari R, Mora O, Manunta M, Mallorquí JJ, Berardino P, Sansosti E (2004) A small baseline approach for investigating deformations on full resolution differential SAR interferograms. IEEE Trans Geosci Remote Sens 42:1377–1386
Werner C, Wegmüller U, Strozzi T, Wiesmann A (2003) Interferometric point target analysis for deformation mapping. In: Proceeding of IEEE Geoscience and Remote Sensing Symposium. IGARSS, 7. Toulouse, France, pp 4362–4364
Mora O, Mallorquí JJ, Broquetas A (2003) Linear and nonlinear terrain deformation maps from a reduced set of interferometric SAR images. IEEE Trans Geosci Remote Sens 41:2243–2253
Bonano M, Manunta M, Pepe A, Paglia L, Lanari R (2013) From previous C-band to new X-band SAR systems: assessment of the DInSAR mapping improvement for deformation time-series retrieval in urban areas. IEEE Trans Geosci Remote Sens 51:1973–1984
Lanari R, Casu F, Manzo M, Lundgren P (2007) Application of the SBAS-DInSAR technique to fault creep: a case study of the Hayward fault, California. Remote Sens Environ 109:20–28
Berardino P, Fornaro G, Lanari R, Sansosti E (2002) A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms. IEEE Trans Geosci Remote Sens 40:2375–2383
Burgmann R, Rosen PA, Fielding EJ (2000) Synthetic aperture radar interferometry to measure Earth’s surface topography and its deformation. Ann Rev Earth Planetary Sci 28:169–209
Gabriel K, Goldstein RM, Zebker HA (1989) Mapping small elevation changes over large areas: differential interferometry. J Geophys Res 94:9183–9191
Tesauro M, Berardino P, Lanari R, Sansosti E, Fornaro G, Franceschetti G (2000) Urban subsidence inside the city of Napoli (Italy) observed by satellite radar interferometry. Geophys Res Lett 27:1961–1964
Scifoni S, Bonano M, Marsella M, Sonnessa A, Tagliafierro V, Manunta M, Lanari R, Ojha C, Sciotti M (2016) On the joint exploitation of long-term DInSAR time series and geological information for the investigation of ground settlements in the town of Roma (Italy). Remote Sens Environ 182:113–127
Arangio S, Calò F, Di Mauro M, Bonano M, Marsella M, Manunta M (2013) An application of the SBAS-DInSAR technique for the assessment of structural damage in the city of Rome. Struct Infrastructure Eng Maintenance Manage Life-Cycle Design Performance 10:1469–1483
Sanabria MP, Guardiola-Albert C, Tomás R, Herrera G, Prieto A, Sánchez H, Tessitore S (2014) Subsidence activity maps derived from DInSAR data: Orihuela case study. Natural Hazards Earth Sci Syst 14:1341–1360
Sansosti E, Berardino P, Bonano M, Calo F, Castaldo R, Casu F, Manunta M, Manzo M, Pepe A, Pepe S, Solaro G, Tizzani P, Zeni G, Lanari R (2014) How second generation SAR systems are impacting the analysis of ground deformation. Int J Appl Earth Obs Geoinf 28:1–11
Cascini L, Ferlisi S, Peduto D, Fornaro G, Manunta M (2007) Analysis of a subsidence phenomenon via DInSAR data and geotechnical criteria. Ital Geotech J 41:50–67
Zebker HA, Villasenor J (1992) Decorrelation in interferometric radar echoes. IEEE Trans Geosci Remote Sens 30:950–959
Acknowledgements
This research was partially funded by the Italian Civil Protection Department within the project RELUIS 2019–2022 WP6 “Structural Health Monitoring and Satellite Data”. Project carried out using CSK® Products, © of the Italian Space Agency (ASI), delivered under a license to use by ASI.
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Ponzo, F.C. et al. (2021). An Advanced Approach to the Long Term SHM of Structures and Transport Infrastructures. In: Rainieri, C., Fabbrocino, G., Caterino, N., Ceroni, F., Notarangelo, M.A. (eds) Civil Structural Health Monitoring. CSHM 2021. Lecture Notes in Civil Engineering, vol 156. Springer, Cham. https://doi.org/10.1007/978-3-030-74258-4_25
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DOI: https://doi.org/10.1007/978-3-030-74258-4_25
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