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Shear modulus reduction and damping ratios curves joined with engineering geological units in Italy
Numerical simulations of seismic site response require the characterization of the nonlinear behaviour of shallow subsoil. When extensive evaluations are of concern, as in the case of seismic microzonation studies, funding problems prevent from the systematic use of laboratory tests to provide detai...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10502119/ https://www.ncbi.nlm.nih.gov/pubmed/37709906 http://dx.doi.org/10.1038/s41597-023-02412-8 |
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author | Gaudiosi, Iolanda Romagnoli, Gino Albarello, Dario Fortunato, Carolina Imprescia, Paola Stigliano, Francesco Moscatelli, Massimiliano |
author_facet | Gaudiosi, Iolanda Romagnoli, Gino Albarello, Dario Fortunato, Carolina Imprescia, Paola Stigliano, Francesco Moscatelli, Massimiliano |
author_sort | Gaudiosi, Iolanda |
collection | PubMed |
description | Numerical simulations of seismic site response require the characterization of the nonlinear behaviour of shallow subsoil. When extensive evaluations are of concern, as in the case of seismic microzonation studies, funding problems prevent from the systematic use of laboratory tests to provide detailed evaluations. For this purpose, 485 shear modulus reduction, G\G(0)(γ) and damping ratio, D(γ) curves were collected from multiple literature sources available in Italy. Each curve was associated with the related engineering geological units considered in seismic microzonation studies. A statistical analysis of the data was carried out with the aim of shedding light on the significant difference between the laboratory classification of samples and the macroscopic/engineering geological one, provided during seismic microzonation studies. Since the engineering geological classification plays a prominent role in extensive site response evaluations, the outcomes of the present work may be of help at least when preliminary seismic response estimates are of concern. The dataset provides reference information that can serve as key data for large-scale hazard assessments worldwide. |
format | Online Article Text |
id | pubmed-10502119 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-105021192023-09-16 Shear modulus reduction and damping ratios curves joined with engineering geological units in Italy Gaudiosi, Iolanda Romagnoli, Gino Albarello, Dario Fortunato, Carolina Imprescia, Paola Stigliano, Francesco Moscatelli, Massimiliano Sci Data Data Descriptor Numerical simulations of seismic site response require the characterization of the nonlinear behaviour of shallow subsoil. When extensive evaluations are of concern, as in the case of seismic microzonation studies, funding problems prevent from the systematic use of laboratory tests to provide detailed evaluations. For this purpose, 485 shear modulus reduction, G\G(0)(γ) and damping ratio, D(γ) curves were collected from multiple literature sources available in Italy. Each curve was associated with the related engineering geological units considered in seismic microzonation studies. A statistical analysis of the data was carried out with the aim of shedding light on the significant difference between the laboratory classification of samples and the macroscopic/engineering geological one, provided during seismic microzonation studies. Since the engineering geological classification plays a prominent role in extensive site response evaluations, the outcomes of the present work may be of help at least when preliminary seismic response estimates are of concern. The dataset provides reference information that can serve as key data for large-scale hazard assessments worldwide. Nature Publishing Group UK 2023-09-14 /pmc/articles/PMC10502119/ /pubmed/37709906 http://dx.doi.org/10.1038/s41597-023-02412-8 Text en © The Author(s) 2023 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Gaudiosi, Iolanda Romagnoli, Gino Albarello, Dario Fortunato, Carolina Imprescia, Paola Stigliano, Francesco Moscatelli, Massimiliano Shear modulus reduction and damping ratios curves joined with engineering geological units in Italy |
title | Shear modulus reduction and damping ratios curves joined with engineering geological units in Italy |
title_full | Shear modulus reduction and damping ratios curves joined with engineering geological units in Italy |
title_fullStr | Shear modulus reduction and damping ratios curves joined with engineering geological units in Italy |
title_full_unstemmed | Shear modulus reduction and damping ratios curves joined with engineering geological units in Italy |
title_short | Shear modulus reduction and damping ratios curves joined with engineering geological units in Italy |
title_sort | shear modulus reduction and damping ratios curves joined with engineering geological units in italy |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10502119/ https://www.ncbi.nlm.nih.gov/pubmed/37709906 http://dx.doi.org/10.1038/s41597-023-02412-8 |
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