2017
DOI: 10.3389/fbuil.2017.00036
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Estimating Tsunami-Induced Building Damage through Fragility Functions: Critical Review and Research Needs

Abstract: Tsunami damage, fragility, and vulnerability functions are statistical models that provide an estimate of expected damage or losses due to tsunami. They allow for quantification of risk, and so are a vital component of catastrophe models used for human and financial loss estimation, and for land-use and emergency planning. This paper collates and reviews the currently available tsunami fragility functions in order to highlight the current limitations, outline significant advances in this field, make recommenda… Show more

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Cited by 57 publications
(52 citation statements)
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References 77 publications
(109 reference statements)
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“…Considerable economic damage resulting from the loss of aquaculture products and the impact to ecological systems was also caused by this tsunami. Since the 2004 Indian Ocean tsunami and the 2011 tsunami, numerous quantitative measures of tsunami vulnerability, such as fragility functions, have been developed for buildings (Leelawat et al, 2014;Charvet et al, 2015Charvet et al, , 2017Suppasri et al, 2013, infrastructures (Shoji and Nakamura, 2017), and marine vessels Muhari et al, 2015). However, only one criterion is based on a previous study of the 1960 Chilean tsunami, which struck the west side of Japan: damage to an aquaculture raft (pearl) begins to occur when the tsunami flow velocity is larger than 1 m s −1 regardless of the water level (Nagano et al, 1991).…”
Section: Introductionmentioning
confidence: 99%
“…Considerable economic damage resulting from the loss of aquaculture products and the impact to ecological systems was also caused by this tsunami. Since the 2004 Indian Ocean tsunami and the 2011 tsunami, numerous quantitative measures of tsunami vulnerability, such as fragility functions, have been developed for buildings (Leelawat et al, 2014;Charvet et al, 2015Charvet et al, , 2017Suppasri et al, 2013, infrastructures (Shoji and Nakamura, 2017), and marine vessels Muhari et al, 2015). However, only one criterion is based on a previous study of the 1960 Chilean tsunami, which struck the west side of Japan: damage to an aquaculture raft (pearl) begins to occur when the tsunami flow velocity is larger than 1 m s −1 regardless of the water level (Nagano et al, 1991).…”
Section: Introductionmentioning
confidence: 99%
“…The tsunami impacts start to increase for the M w 8.75 scenario. In this scenario, the variability of inundation depth at several TESs (e.g.,shelters 16,17,20,and 23) ranges from 0 m to more than 5 m. However, the 90th percentile values of tsunami depth for all TESs are still below 5 m. Significant impacts are (Suppasri et al, 2014;Charvet et al, 2017 shown from the variability of tsunami inundation depth for the M w 9.0 scenario. Three out of the 23 TESs, i.e., shelters 1, 15, and 22, with the building height of 10 m may be significantly affected by the tsunami.…”
Section: Vulnerability Assessment Of Tsunami Evacuation Sheltersmentioning
confidence: 98%
“…After the 2010 Chile tsunami, Mas et al (2012) developed the first tsunami fragility curve in Chile for masonry and mixed structures in Dichato. In recent years, new methodologies have been proposed for the development of tsunami fragility curves that use disaggregated data and different classes of models such as the generalized linear model, generalized additive model and non-parametric model (Charvet et al, 2015(Charvet et al, , 2017Macabuag et al, 2016). These new methodologies propose a more comprehensive analysis in order to select appropriate statistical models and identify which tsunami intensity measure gives the best representation of the observed damage data (Macabuag et al, 2016).…”
Section: Introductionmentioning
confidence: 99%