From a probabilistic point of view, the seismic risk of a building in a given site could be evaluated through Probabilistic Seismic Demand Analysis, which could be decoupled in Probabilistic Seismic Hazard Analysis of the site and structural analysis of the response by an intensity measure parameter. Normally, the seismic hazard is computed by a ground motion prediction model in terms of characteristic parameters of an expected event, such as magnitude, distance, site geology, etc. These models provide, also, the expected value and the dispersion of an intensity measure. Therefore, using different ground motion prediction models could lead to different values of expected median of the intensity measures, hence of seismic hazard of a given site and seismic risk of a structure in that site. This work aims to assess the variability of results both for seismic hazard and risk of RC structures using the most popular ground motion prediction models.

Seismic reliability assessment of RC structures based on different ground motion prediction models

BIANCHINI, MARCELLO;DIOTALLEVI, PIER PAOLO;LANDI, LUCA
2010

Abstract

From a probabilistic point of view, the seismic risk of a building in a given site could be evaluated through Probabilistic Seismic Demand Analysis, which could be decoupled in Probabilistic Seismic Hazard Analysis of the site and structural analysis of the response by an intensity measure parameter. Normally, the seismic hazard is computed by a ground motion prediction model in terms of characteristic parameters of an expected event, such as magnitude, distance, site geology, etc. These models provide, also, the expected value and the dispersion of an intensity measure. Therefore, using different ground motion prediction models could lead to different values of expected median of the intensity measures, hence of seismic hazard of a given site and seismic risk of a structure in that site. This work aims to assess the variability of results both for seismic hazard and risk of RC structures using the most popular ground motion prediction models.
Proceedings of the 14th European Conference on Earthquake Engineering
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8
M. Bianchini; P. P. Diotallevi; L. Landi
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11585/97314
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