Influence of intensity measure selection on simulation‐based regional seismic risk assessment
Ao Du, Jamie E. Padgett, Abdollah Shafieezadeh
Abstract
This study investigates the influence of intensity measure (IM) selection on simulation‐based regional seismic risk assessment (RSRA) of spatially distributed structural portfolios. First, a co‐simulation method for general spectral averaging vector IMs is derived. Then a portfolio‐level surrogate demand modeling approach, which incorporates the seismic demand estimation of the non‐collapse and collapse states, is proposed. The derived IM co‐simulation method enables the first comparative study of different IMs, including the conventional IMs and some more advanced scalar and vector IMs, in the context of RSRA. The influence of IM selection on the predictive performance of the portfolio‐level surrogate demand models, as well as on the regional seismic risk estimates, is explored based on a virtual spatially distributed structural portfolio subjected to a scenario earthquake. The results of this study provide pertinent insights in surrogate demand modeling, IM co‐simulation and selection, which can facilitate more accurate and reliable regional seismic risk estimates.