Effects of Epistemic Uncertainty in Seismic Hazard Estimates on Building Portfolio Losses

Kotha, Sreeram Reddy; Bazzurro, Paolo; Pagani, Marco

Type de document :

Compte-rendu et recension critique d'ouvrage

DOI :

10.1193/020515EQS020M

Titre :

Effects of Epistemic Uncertainty in Seismic Hazard Estimates on Building Portfolio Losses

Auteur(s) :

Kotha, Sreeram Reddy [Auteur]
Institut des Sciences de la Terre [ISTerre]
Bazzurro, Paolo [Auteur]
Istituto Universitario di Studi Superiori [IUSS]
Pagani, Marco [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]

Titre de la revue :

Earthquake Spectra

Pagination :

217-236

Éditeur :

Earthquake Engineering Research Institute

Date de publication :

2018-02-01

ISSN :

8755-2930

Discipline(s) HAL :

Sciences de l'ingénieur [physics]

Résumé en anglais : [en]

In catastrophe risk modeling, a defensible estimation of impact severity and its likelihood of occurrence to a portfolio of assets can only be made through a rigorous treatment of uncertainty and the consideration of ...
Lire la suite >In catastrophe risk modeling, a defensible estimation of impact severity and its likelihood of occurrence to a portfolio of assets can only be made through a rigorous treatment of uncertainty and the consideration of multiple alternative models. This approach, however, requires repeating lengthy calculations multiple times. To limit the demand on computational time and resources, a frequent practice in the industry is to estimate the distribution of earthquake-induced portfolio losses using a simulated catalog of events from a single representative mean ground motion hazard model for the region. This simplified approach is faster but may provide biased estimates of the likelihood of occurrence of the large and infrequent losses that drive many risk mitigation decisions. Investigation through case studies of different portfolios of assets located in the San Francisco Bay Region shows the potential for both a bias in the mean loss estimates and an underestimation of their central 70% interpercentile. We propose a simplified and computationally practical approach that reduces the bias in the mean portfolio loss estimates. This approach does not improve the estimate of the inter-percentile range, however, a quantity of no direct practical use.Lire moins >

Langue :

Anglais

Vulgarisation :

Non

Collections :

Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL

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2171899.pdf
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