Mele, Annalisa (2023) Satellite SAR data for the monitoring and structural assessment of the built environment. [Tesi di dottorato]
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| Item Type: | Tesi di dottorato |
|---|---|
| Resource language: | English |
| Title: | Satellite SAR data for the monitoring and structural assessment of the built environment |
| Creators: | Creators Email Mele, Annalisa annalisa.mele@unina.it |
| Date: | 9 March 2023 |
| Number of Pages: | 253 |
| Institution: | Università degli Studi di Napoli Federico II |
| Department: | Strutture per l'Ingegneria e l'Architettura |
| Dottorato: | Ingegneria strutturale, geotecnica e rischio sismico |
| Ciclo di dottorato: | 35 |
| Coordinatore del Corso di dottorato: | nome email Iervolino, Iunio iunio.iervolino@unina.it |
| Tutor: | nome email Prota, Andrea UNSPECIFIED |
| Date: | 9 March 2023 |
| Number of Pages: | 253 |
| Keywords: | satellite SAR data, structural monitoring, structural assessment, DInSAR, existing constructions |
| Settori scientifico-disciplinari del MIUR: | Area 08 - Ingegneria civile e Architettura > ICAR/09 - Tecnica delle costruzioni |
| Date Deposited: | 16 Mar 2023 05:53 |
| Last Modified: | 10 Apr 2025 13:08 |
| URI: | http://www.fedoa.unina.it/id/eprint/15144 |
Collection description
The development of increasingly advanced methodologies for Structural Health Monitoring (SHM) of the built environment is a very current research topic. In recent years, the possibility of using satellite remote sensing data for the monitoring of Earth’s surface deformation is receiving great attention. In particular, many literature results highlighted the potential of multi-temporal Differential Synthetic Aperture Radar Interferometry (DInSAR) techniques, not only for ground deformation monitoring but also in the field of SHM. These non-invasive technologies can significantly help to improve the maintenance and assessment of existing constructions, not interfering with their functionality. The potential of DInSAR techniques blends with the in-creasing improvement of the resolution quality and revisiting time of the modern generation of SAR satellites. In this thesis, new methodological ap-proaches based on DInSAR-derived data for the SHM and assessment of ex-isting buildings are proposed. After an overview of the remote sensing satel-lite acquisition techniques and satellites, and of the main processing tech-niques, attention is devoted to illustrating different strategies for the elabora-tion of the DInSAR measurements to provide useful information for structur-al applications. At the territorial scale, the proposed methodologies aim to identify “critical” buildings, affected by potentially dangerous displacements, that should be investigated more in detail. Moreover, in view of using DIn-SAR-derived data to predict future displacements, when possible, these ap-proaches could represent valid support for civil protection prevention plans. At a single construction scale, approaches to exploit the DInSAR-derived data finalized to an estimation of the damage, are proposed, at two different accu-racy levels: for a preliminary structural assessment and monitoring and an effective structural assessment and monitoring. Not only the potentials but also the limitations of the use of DInSAR-derived data for SHM and assess-ment are highlighted. All the proposed methodologies are applied to real case studies.
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