relation: http://miis.maths.ox.ac.uk/miis/718/
title: Earthquake risk: Including Uncertainties in the Ground Motion Calculations
creator: Hazelwood, Vera
creator: Bandeira, Afonso
creator: Cavaleiro, Marta
creator: Davies, Russell
creator: Mondal, Anirban
creator: Morales, Sergio
creator: Piwarska, K.
creator: Please, C.P.
subject: Finance
description: Earthquake risk models used by the insurance industry for estimating the damage caused by an event typically use the mean of the ground motion intensity to predict the damage to a particular building. On the other hand, the ground motion intensity can be modelled as a ran- dom variable. Literature related to ground-motion predictive equation derivation includes, as a rule, the estimate of the standard deviation associated with the distribution of the intensity. The Study Group was asked to find a way to include the uncertainty associated with the predic- tion of the ground motion intensity contained in the standard deviation into the damage calculation, in a way in which the computational effort is not increased significantly  The Study Group proposed a way forward based on Bayes’ theorem for the marginal distribution of damage and found an analytical expression for the damage distribution function. However, the expression is an in- tegral that needs to be evaluated numerically and the Gaussian-Hermite quadrature was proposed to carry out the calculations. The approach seems plausible to be included in the existing models and the additional computational load is estimated as to be marginal relating to the current computational demands.
date: 2010
type: Study Group Report
type: NonPeerReviewed
format: application/pdf
language: en
identifier: http://miis.maths.ox.ac.uk/miis/718/1/ESGI73-Air_CaseStudy.pdf
identifier:   Hazelwood, Vera and Bandeira, Afonso and Cavaleiro, Marta and Davies, Russell and Mondal, Anirban and Morales, Sergio and Piwarska, K. and Please, C.P.  (2010) Earthquake risk: Including Uncertainties in the Ground Motion Calculations.  [Study Group Report]