Technical Papers
May 11, 2018

Probabilistic Model for Regional Multiseverity Casualty Estimation due to Building Damage Following an Earthquake

Publication: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 4, Issue 3

Abstract

This paper introduces a probabilistic formulation for the estimation of the spatial distribution of multiseverity casualties due to earthquakes. The formulation assesses the number, severity, and distribution of injuries in the affected region. The model is an essential component of resilience formulations of health care systems in a community because it represents the demand on the system. Moreover, the model extends the performance-based earthquake engineering (PBEE) framework from single-building analysis to multiple-building analysis. The paper gives a full description of both the underlying statistical interdependencies among the model’s variables and the extension of the formulation of the PBEE integral to a regional context with multiple buildings. Thus, the formulation advances current methodologies that focus only on single casualty types (e.g., Prompt Assessment of Global Earthquakes for Response [PAGER]) or on the mean number of casualties (e.g., Hazus) rather than their joint probability distribution. Two numerical algorithms are presented in this paper to solve for the casualty model: one based on traditional forward Monte Carlo and another based on the central limit theorem (CLT). It is shown that the latter model is highly computationally efficient while providing accurate results.

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Acknowledgments

This research was partially supported by NSF EAGER Grant CMMI-1645335 and the Shah Family Fellowship through the Department of Civil and Environmental Engineering at Stanford University. The authors are grateful for their generous support.

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Go to ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 4Issue 3September 2018

History

Received: Aug 11, 2017
Accepted: Jan 8, 2018
Published online: May 11, 2018
Published in print: Sep 1, 2018
Discussion open until: Oct 11, 2018

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Luis Ceferino, S.M.ASCE [email protected]
Ph.D. Candidate, Dept. of Civil Engineering, Stanford Univ., Blume Center, 439 Panama Mall, Bldg. 540, Room 211, Stanford, CA 94305 (corresponding author). Email: [email protected]
Anne Kiremidjian, Dist.M.ASCE
Professor, Dept. of Civil Engineering, Stanford Univ., 473 Via Ortega Room 277 B, Stanford, CA 94305.
Greg Deierlein, F.ASCE
Professor, Dept. of Civil Engineering, Stanford Univ., Blume Center, 439 Panama Mall, Bldg. 540, Room 118, Stanford, CA 94305.

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