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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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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. |
format | Online Article Text |
id | pubmed-8831512 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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