TY - JOUR
T1 - A comparative analysis of empirical and analytical tsunami fragility functions for buildings in Tumaco, Colombia
AU - Paez-Ramirez, Juan
AU - Lizarazo, Juan
AU - Medina, Sergio
AU - Rivas, Miguel
AU - Luna, Patricia
AU - Mas, Erick
AU - Koshimura, Shunichi
N1 - Funding Information:
This paper has been written thanks to the collaboration of the tsunami group within the SATREPSColombia project “Application of State of the Art Technologies to Strengthen Research and Response to Seismic, Volcanic and Tsunami Events and to Enhance Risk Management” in the National University of Colombia and the International Research Institute of Disaster Science of Tohoku University in Japan.
Publisher Copyright:
© 2021 Institute of Physics Publishing. All rights reserved.
PY - 2021/1/12
Y1 - 2021/1/12
N2 - The Pacific coast of Colombia has witnessed several tsunami events in the last century. However, the physical damage to structures at the time was not recorded, even when these events have brought overwhelming destruction to coastal communities. This lack of data increases uncertainties when assessing future tsunami impacts. Nonetheless, other regions of the world, which have been also affected by tsunami, have collected damage information that has been used to build empirical tsunami fragility functions. Based on a demand parameter, such as the tsunami inundation depth, a fragility function expresses the probability of building damage. Hence, regions with no recent tsunami damage cannot develop empirical fragility functions since post-disaster damage survey data is not available. One alternative for these regions is to develop analytical fragility functions out of computational nonlinear structural analysis. Reinforced concrete buildings and palafitte houses are selected to perform a comparative analysis of collapse damage assessment expressed in empirical and analytical fragility functions.
AB - The Pacific coast of Colombia has witnessed several tsunami events in the last century. However, the physical damage to structures at the time was not recorded, even when these events have brought overwhelming destruction to coastal communities. This lack of data increases uncertainties when assessing future tsunami impacts. Nonetheless, other regions of the world, which have been also affected by tsunami, have collected damage information that has been used to build empirical tsunami fragility functions. Based on a demand parameter, such as the tsunami inundation depth, a fragility function expresses the probability of building damage. Hence, regions with no recent tsunami damage cannot develop empirical fragility functions since post-disaster damage survey data is not available. One alternative for these regions is to develop analytical fragility functions out of computational nonlinear structural analysis. Reinforced concrete buildings and palafitte houses are selected to perform a comparative analysis of collapse damage assessment expressed in empirical and analytical fragility functions.
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U2 - 10.1088/1755-1315/630/1/012008
DO - 10.1088/1755-1315/630/1/012008
M3 - Conference article
AN - SCOPUS:85100799962
SN - 1755-1307
VL - 630
JO - IOP Conference Series: Earth and Environmental Science
JF - IOP Conference Series: Earth and Environmental Science
IS - 1
M1 - 012008
T2 - 12th ACEH International Workshop on Sustainable Tsunami Disaster Recovery: Sharing Experience, Knowledge and Culture 2019, AIWEST-DR 2019
Y2 - 7 November 2019 through 8 November 2019
ER -