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Performance of a reinforced concrete wall building subjected to sequential earthquake and tsunami loading
Indexado
WoS WOS:000649649600003
Scopus SCOPUS_ID:85103967675
DOI 10.1016/J.ENGSTRUCT.2021.111995
Año 2021
Tipo artículo de investigación

Citas Totales

Autores Afiliación Chile

Instituciones Chile

% Participación
Internacional

Autores
Afiliación Extranjera

Instituciones
Extranjeras


Abstract



This paper investigates the behavior of a typical Chilean reinforced concrete wall building under sequential earthquake and tsunami actions using a double pushover analysis approach. A real concrete wall structure that was damaged after the Mw = 8.8 2010 Maule earthquake is considered as a case study building and a simplified nonlinear finite element model of a fictitious slice of the building is subjected to earthquake and tsunami loading in sequence. The analysis of the building under these loadings consists of three stages: the structure is first subjected to seismic loading by means of a pushover analysis until a specific damage state is reached; then a pushover with the same load pattern but in the opposite direction is applied until the shear at the base is zero; and finally, the building is subjected to tsunami loading by means of a variable depth pushover analysis until the maximum capacity is reached. Different tsunami load cases are considered in this study, varying the Froude number and the direction of the tsunami loading. The results show that the tsunami response of the building is mainly dependent on the Froude number of the tsunami flow; however, when the seismic damage is severe, the tsunami capacity of the building is found to be reduced. This is more likely to occur when the effect of the tsunami increases the damage previously induced by the earthquake in the same direction.

Revista



Revista ISSN
Engineering Structures 0141-0296

Métricas Externas



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Disciplinas de Investigación



WOS
Engineering, Civil
Scopus
Civil And Structural Engineering
SciELO
Sin Disciplinas

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Publicaciones WoS (Ediciones: ISSHP, ISTP, AHCI, SSCI, SCI), Scopus, SciELO Chile.

Colaboración Institucional



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Autores - Afiliación



Ord. Autor Género Institución - País
1 Tagle, S. J. - Pontificia Universidad Católica de Chile - Chile
2 Junemann, Rosita Mujer Pontificia Universidad Católica de Chile - Chile
Centro Nacional de Investigacion para la Gestion Integrada de Desastres Naturales - Chile
ANID/FONDAP/15110017 - Chile
3 VASQUEZ-PINILLOS, JORGE Hombre Pontificia Universidad Católica de Chile - Chile
Centro Nacional de Investigacion para la Gestion Integrada de Desastres Naturales - Chile
ANID/FONDAP/15110017 - Chile
4 de la Llera Martin, Juan Carlos Hombre Pontificia Universidad Católica de Chile - Chile
Centro Nacional de Investigacion para la Gestion Integrada de Desastres Naturales - Chile
ANID/FONDAP/15110017 - Chile
5 Baiguera, Marco Hombre UCL - Reino Unido
UCL Engineering - Reino Unido

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Financiamiento



Fuente
Fondo Nacional de Desarrollo Científico y Tecnológico
University College London
Research Center for Integrated Disaster Risk Management (CIGIDEN)
Chilean National Agency for Research and Development
Chilean National Agency for Research and Development (ANID) , under the Fondecyt grant

Muestra la fuente de financiamiento declarada en la publicación.

Agradecimientos



Agradecimiento
The authors are grateful to many students, people and institutions who helped throughout this study. This research has been sponsored bythe Chilean National Agency for Research and Development (ANID) , under the Fondecyt grant 11170514, and by the Research Center for integrated Disaster Risk Management (CIGIDEN) ANID/FONDAP/15110017. The authors are also grateful to Professor Tiziana Rossetto from UCL for her significant support and contribution. Additionally, the authors would like to thank Dr. Matias Chacon for his relevant support and work.
The authors are grateful to many students, people and institutions who helped throughout this study. This research has been sponsored by the Chilean National Agency for Research and Development (ANID), under the Fondecyt grant 11170514, and by the Research Center for integrated Disaster Risk Management (CIGIDEN) ANID/FONDAP/15110017. The authors are also grateful to Professor Tiziana Rossetto from UCL for her significant support and contribution. Additionally, the authors would like to thank Dr. Mat?as Chac?n for his relevant support and work.

Muestra la fuente de financiamiento declarada en la publicación.