Seismic risk assessment of spatially-distributed systems using ground-motion modelsfitted considering spatial correlation

2011 ◽  
pp. 1462-1468
Author(s):  
N Jayaram ◽  
J Baker
Keyword(s):  
Risk Assessment ◽  
Distributed Systems ◽  
Spatial Correlation ◽  
Ground Motion ◽  
Seismic Risk ◽  
Seismic Risk Assessment ◽  
Spatially Distributed

Probabilistic Seismic Hazard Analysis and Synthetic Ground Motion Generation for Seismic Risk Assessment of Structures in the Northeast India

2017 ◽  
Vol 8 (2) ◽  
pp. 39-59 ◽  
Author(s):  
Swarup Ghosh ◽  
Subrata Chakraborty
Keyword(s):  
Risk Assessment ◽  
Seismic Hazard ◽  
Ground Motion ◽  
Seismic Risk ◽  
Hazard Analysis ◽  
Probabilistic Seismic Hazard Analysis ◽  
Seismic Hazard Analysis ◽  
Probabilistic Seismic Hazard ◽  
Seismic Risk Assessment ◽  
Site Specific

This article outlines the performance-based seismic risk assessment (PBSRA) of structures requiring probabilistic seismic hazard analysis (PSHA) to obtain hazard curves and an evaluation of the demand model by a nonlinear structural response analysis under properly selected ground motion records. Unfortunately, such site-specific information is not readily available for Northeast region of India. The present study focuses on these two aspects to supplement the PBSRA. The estimations of hazard curves are demonstrated by considering the seismicity within 300 km radius around the considered locations and specified exposure period. Due to limited availability of natural records in this region, synthetic accelerograms are generated using stochastic point source models by identifying the most contributing magnitude distance combinations from disaggregation of the PSHA results. The significant variabilities observed in the estimated hazard, synthetic accelerograms and nonlinear building responses in the various locations indicate the need of explicit site-specific analysis for PBRSA of structures in the region.

Multihazard Scenarios for Regional Seismic Risk Assessment of Spatially Distributed Infrastructure

2021 ◽  
Vol 27 (1) ◽  
pp. 04021001
Author(s):  
Nafiseh Soleimani ◽  
Rachel A. Davidson ◽  
Craig Davis ◽  
Thomas D. O’Rourke ◽  
Linda K. Nozick
Keyword(s):  
Risk Assessment ◽  
Seismic Risk ◽  
Seismic Risk Assessment ◽  
Spatially Distributed ◽  
Distributed Infrastructure

Influence of intensity measure selection on simulation-based regional seismic risk assessment

2020 ◽  
Vol 36 (2) ◽  
pp. 647-672 ◽  
Author(s):  
Ao Du ◽  
Jamie E Padgett ◽  
Abdollah Shafieezadeh
Keyword(s):  
Risk Assessment ◽  
Seismic Risk ◽  
Simulation Method ◽  
Intensity Measure ◽  
Seismic Risk Assessment ◽  
Demand Modeling ◽  
Risk Estimates ◽  
Demand Models ◽  
Simulation Based ◽  
Spatially Distributed

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.

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