2017
DOI: 10.1016/j.soildyn.2017.05.004
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Assessment of earthquake damage considering the characteristics of past events in South America

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Cited by 37 publications
(25 citation statements)
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“…However, it is important to note that the discrepancies between the calculated and the observed results are not only due to the different ground shaking modelling techniques but possibly also due to limitations in the exposure data sets and the selected fragility/vulnerability functions. A discussion regarding possible sources of discrepancy between calculated and observed metrics in earthquake scenarios can be found in Villar and Silva …”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…However, it is important to note that the discrepancies between the calculated and the observed results are not only due to the different ground shaking modelling techniques but possibly also due to limitations in the exposure data sets and the selected fragility/vulnerability functions. A discussion regarding possible sources of discrepancy between calculated and observed metrics in earthquake scenarios can be found in Villar and Silva …”
Section: Discussionmentioning
confidence: 99%
“…Thus, the availability of a system capable of estimating the spatial distribution of damages and losses in near‐real time is fundamental for the efficient response of earthquake emergency operations. Similarly, the assessment of damage or loss considering the characteristics of past events is also useful for the verification and calibration of existing exposure and vulnerability data sets . In this context, the definition of the ground shaking that affected the region is one of the most important challenges.…”
Section: Introductionmentioning
confidence: 99%
“…This is done taking into account the aleatory and epistemic uncertainty in both the vulnerability and the ground shaking components. For each realization of IM random field for a given earthquake, the fragility curve for complete damage (i.e., structure beyond repair, but not necessarily collapsed; e.g., Villar-Vega & Silva 30 ) for a given building at a given location is used to simulate, using a random sampling process, whether the building may or may not collapse. For any given earthquake-specific ground motion field, this calculation is repeated for all the buildings in the area to obtain a possible realization of the locations of collapsed structures.…”
Section: Seismic Demand and Estimation Of Damagementioning
confidence: 99%
“…collapse). In this paper, we focus our scenario analysis on the spatial distribution of collapsed buildings, which comprises not only physically collapsed buildings but also partially collapsed structures (Villar-Vega et al, 2017).…”
Section: Building Fragility and Vulnerability Modelsmentioning
confidence: 99%