Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/89327

TítuloSelection and scaling approaches of earthquake time-series for structural engineering applications: a state-of-the-art review
Autor(es)Díaz, Daniel Alejandro Caicedo
Naghshineh, Shaghayegh Karim Zadeh
Bernardo, Vasco
Lourenço, Paulo B.
Data24-Nov-2023
EditoraSpringer
RevistaArchives of Computational Methods in Engineering
CitaçãoCaicedo, D., Karimzadeh, S., Bernardo, V. et al. Selection and Scaling Approaches of Earthquake Time-Series for Structural Engineering Applications: A State-of-the-Art Review. Arch Computat Methods Eng (2023). https://doi.org/10.1007/s11831-023-10025-y
Resumo(s)Selection and scaling of ground motion records have been recognised as one of the major sources of bias and uncertainty in the seismic assessment of civil engineering structures. This review paper provides a comprehensive description from a critical point of view of the scaling and selection approaches of earthquake motions for structural engineering applications, emphasising works conducted in the last decade. The outline of content within this review is organised as follows: (1) Earlier works (research done before 2010); (2) Code-based selection and spectral matching; (3) Probabilistic assessment based on intensity measures; and (4) Use of simulated signals as an alternative to ground motion selection and scaling. The aim of this paper is to provide a wide understanding of current research on the scaling and selection of earthquake motions for structural engineering applications; therefore, it may serve as a suitable reference in forthcoming investigations.
TipoArtigo
URIhttps://hdl.handle.net/1822/89327
DOI10.1007/s11831-023-10025-y
ISSN1134-3060
Versão da editorahttps://link.springer.com/article/10.1007/s11831-023-10025-y
Arbitragem científicayes
AcessoAcesso aberto
Aparece nas coleções:ISISE - Artigos em Revistas Internacionais

Ficheiros deste registo:
Ficheiro Descrição TamanhoFormato 
s11831-023-10025-y.pdf3 MBAdobe PDFVer/Abrir

Este trabalho está licenciado sob uma Licença Creative Commons Creative Commons

Partilhe no FacebookPartilhe no TwitterPartilhe no DeliciousPartilhe no LinkedInPartilhe no DiggAdicionar ao Google BookmarksPartilhe no MySpacePartilhe no Orkut
Exporte no formato BibTex mendeley Exporte no formato Endnote Adicione ao seu ORCID