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Combining satellite geophysical data with continuous on-site measurements for monitoring the dynamic parameters of civil structures

One key issue in the Structural Health Monitoring (SHM) of buildings is the influence of the soil on the dynamics of the system. The lack of accurate information on soil-structure interaction represents a source of significant uncertainty and generates difficulties in assessing the state of structur...

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Autores principales: Coccimiglio, Stefania, Coletta, Giorgia, Lenticchia, Erica, Miraglia, Gaetano, Ceravolo, Rosario
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8831512/
https://www.ncbi.nlm.nih.gov/pubmed/35145171
http://dx.doi.org/10.1038/s41598-022-06284-7
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author Coccimiglio, Stefania
Coletta, Giorgia
Lenticchia, Erica
Miraglia, Gaetano
Ceravolo, Rosario
author_facet Coccimiglio, Stefania
Coletta, Giorgia
Lenticchia, Erica
Miraglia, Gaetano
Ceravolo, Rosario
author_sort Coccimiglio, Stefania
collection PubMed
description One key issue in the Structural Health Monitoring (SHM) of buildings is the influence of the soil on the dynamics of the system. The lack of accurate information on soil-structure interaction represents a source of significant uncertainty and generates difficulties in assessing the state of structural health. In this respect, satellite data could represent a valuable tool for soil knowledge. This paper presents the first study of satellite data coming from the environmental Copernicus program of the European Space Agency (ESA) for the alternative application in the field of SHM. In particular, Land Surface Temperature (LST) and Soil Water Index (SWI) data are elected to study surface temperature and moisture condition of the soil. Once examined and processed, these records have been statistically analyzed, crossed with on-site experimental quantities (natural frequencies and environmental variations), and given as input to a Finite Element (FE) model. The final goal is to understand the actual structural behavior, but also to monitor the evolution of the dynamic parameters for the purposes of structural and seismic monitoring. The largest oval masonry dome in the world was chosen as a prominent case study to demonstrate this novel approach to SHM.
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spelling pubmed-88315122022-02-14 Combining satellite geophysical data with continuous on-site measurements for monitoring the dynamic parameters of civil structures Coccimiglio, Stefania Coletta, Giorgia Lenticchia, Erica Miraglia, Gaetano Ceravolo, Rosario Sci Rep Article One key issue in the Structural Health Monitoring (SHM) of buildings is the influence of the soil on the dynamics of the system. The lack of accurate information on soil-structure interaction represents a source of significant uncertainty and generates difficulties in assessing the state of structural health. In this respect, satellite data could represent a valuable tool for soil knowledge. This paper presents the first study of satellite data coming from the environmental Copernicus program of the European Space Agency (ESA) for the alternative application in the field of SHM. In particular, Land Surface Temperature (LST) and Soil Water Index (SWI) data are elected to study surface temperature and moisture condition of the soil. Once examined and processed, these records have been statistically analyzed, crossed with on-site experimental quantities (natural frequencies and environmental variations), and given as input to a Finite Element (FE) model. The final goal is to understand the actual structural behavior, but also to monitor the evolution of the dynamic parameters for the purposes of structural and seismic monitoring. The largest oval masonry dome in the world was chosen as a prominent case study to demonstrate this novel approach to SHM. Nature Publishing Group UK 2022-02-10 /pmc/articles/PMC8831512/ /pubmed/35145171 http://dx.doi.org/10.1038/s41598-022-06284-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Coccimiglio, Stefania
Coletta, Giorgia
Lenticchia, Erica
Miraglia, Gaetano
Ceravolo, Rosario
Combining satellite geophysical data with continuous on-site measurements for monitoring the dynamic parameters of civil structures
title Combining satellite geophysical data with continuous on-site measurements for monitoring the dynamic parameters of civil structures
title_full Combining satellite geophysical data with continuous on-site measurements for monitoring the dynamic parameters of civil structures
title_fullStr Combining satellite geophysical data with continuous on-site measurements for monitoring the dynamic parameters of civil structures
title_full_unstemmed Combining satellite geophysical data with continuous on-site measurements for monitoring the dynamic parameters of civil structures
title_short Combining satellite geophysical data with continuous on-site measurements for monitoring the dynamic parameters of civil structures
title_sort combining satellite geophysical data with continuous on-site measurements for monitoring the dynamic parameters of civil structures
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8831512/
https://www.ncbi.nlm.nih.gov/pubmed/35145171
http://dx.doi.org/10.1038/s41598-022-06284-7
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