Abstract

Quantitative seismic risk assessments involve hazard characterization, exposure database, vulnerability assessment, and uncertainty modelling, and promote consistent risk management actions, when conducted systematically across a country. This study implements a performance-based earthquake engineering methodology to develop a nationwide earthquake risk model for Canadian wood-frame houses by integrating probabilistic seismic hazard analysis results provided by the Geological Survey of Canada and seismic fragility functions derived from incremental dynamic analysis. To facilitate the implementation of the seismic risk analysis method, an in-house probabilistic seismic hazard analysis tool for Canada is developed and used to verify the accuracy of the adopted approach of approximating the upper tail of the seismic intensity measure distribution and to generate detailed seismic disaggregation results for ground motion record selection and seismic fragility modelling purposes. By integrating the preceding two elements via Monte Carlo methods, a full seismic risk curve can be obtained in a computationally efficient manner. The approach is applied to 1,620 representative locations used for the 2016 Canadian Census and thus facilitates the development of seismic risk maps of key risk metrics that are derived from exceedance probability curves in terms of earthquake damage/loss ratio. The developed seismic risk maps serve as valuable decision-support tools to implement risk-based management strategies consistently across Canada.

Highlights

  • Quantitative risk assessments are essential tools for disaster risk management and reduction and play critical roles in disaster risk financing (Mitchell-Wallace et al, 2017)

  • This study developed a nationwide earthquake risk model for wood-frame houses in Canada by utilizing national seismic hazard information provided by the Geological Survey of Canada (GSC) and by developing seismic fragility functions that are applicable to a broad range of wooden houses having different seismic capacities and seismic environments, and applied it to generate exceedance probability curves of seismic damage ratio and seismic risk maps of key risk metrics

  • The in-house probabilistic seismic hazard analysis (PSHA) tool served to generate detailed seismic disaggregation results, which facilitated the implementation of the multipleevent conditional mean spectra (CMS)-based record selection for developing seismic fragility functions via incremental dynamic analysis (IDA)

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Summary

INTRODUCTION

Quantitative risk assessments are essential tools for disaster risk management and reduction and play critical roles in disaster risk financing (Mitchell-Wallace et al, 2017). It integrates PSHA results provided by the GSC (Halchuk et al, 2015) and seismic fragility functions that are derived from incremental dynamic analysis (IDA; Vamvatsikos and Cornell, 2002). By integrating the preceding two elements via Monte Carlo methods, one can obtain a full seismic risk curve in a computationally efficient manner This nationwide earthquake catastrophe model for wood-frame houses in Canada facilitates the development of site-specific exceedance probability curves in terms of earthquake damage/loss ratio as well as seismic risk maps that display annual expected damage/loss and probability of experiencing seismic damage exceeding a certain extent. The significance of this study is the outputs from the developed nationwide earthquake risk model for wood-frame houses in Canada, which are currently unavailable and is needed for consistent earthquake risk management actions

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