Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/69075
Título: | Development of a numerical tool for the seismic vulnerability assessment of vernacular architecture |
Autor(es): | Ortega Heras, Javier Vasconcelos, Graça Rodrigues, Hugo Correia, Mariana Miranda, Tiago F. S. |
Palavras-chave: | Seismic vulnerability assessment Vernacular architecture Pushover parametric study Finite element modeling Data mining Multiple regression analysis |
Data: | 2021 |
Editora: | Taylor & Francis |
Revista: | Journal of Earthquake Engineering |
Citação: | Javier Ortega, Graça Vasconcelos, Hugo Rodrigues, Mariana Correia & Tiago Filipe Da Silva Miranda (2021) Development of a Numerical Tool for the Seismic Vulnerability Assessment of Vernacular Architecture, Journal of Earthquake Engineering, 25:14, 2926-2954, DOI: 10.1080/13632469.2019.1657987 |
Resumo(s): | Aiming at protecting the vernacular heritage located in earthquake prone areas, the paper presents the development and validation of the numerical tool that constitutes the core of a novel seismic vulnerability assessment method: Seismic Assessment of the Vulnerability of Vernacular Architecture Structures (SAVVAS). An extensive numerical modeling campaign was carried out to evaluate and quantify the influence of several parameters on the seismic response of vernacular buildings. The results were compiled into a database on which regression analysis could be performed to extract correlations between seismic capacity and qualitative and simple quantitative data that can be obtained from visual inspection. |
Tipo: | Artigo |
URI: | https://hdl.handle.net/1822/69075 |
DOI: | 10.1080/13632469.2019.1657987 |
ISSN: | 1363-2469 |
e-ISSN: | 1559-808X |
Versão da editora: | https://www.tandfonline.com/doi/full/10.1080/13632469.2019.1657987 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: | ISISE - Artigos em Revistas Internacionais |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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manuscript.pdf | 2,25 MB | Adobe PDF | Ver/Abrir |