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Cited by 613

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Exploring the Concept of Seismic Resilience for Acute Care Facilities

Bruneau, Michel, Reinhorn, Andrei·2007·Earthquake Spectra

Abstract

This paper explores the operational and physical resilience of acute care facilities, recognizing that the key dimension of acute care facilities is not a simple engineering unit. Quantification of resilience is first approached from the broader societal context, from which the engineering subproblem is formulated, recognizing that, to operate, hospitals depend intricately on the performance of their physical infrastructure (from the integrity of structural systems and nonstructural systems, lifelines, components, and equipment). Quantification relates the probability of exceeding floor accelerations and interstory drifts within a specified limit space, for the structural and nonstructural performance. Linear and nonlinear structural responses are considered, as well as the impact of retrofit or repair. Impact on time to recovery is considered in all cases. The proposed framework makes it possible to relate probability functions, fragilities, and resilience in a single integrated approach, and to further develop general tools to quantify resilience for sociopolitical‐engineering decisions.

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Metadata

Authors
Bruneau, M., & Reinhorn, A.
Venue
Earthquake Spectra
Publisher
Wiley
Published
2007-02
Volume
23
Issue
1
Pages
41-62
ISSN
  • 1944-8201 (ISSN-L)
  • 8755-2930
OpenAlex
W2128144881
Cited by
613
References
0
FWCI
24.96
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Exploring the Concept of Seismic Resilience for Acute Care Facilities. https://app.cochat.ai/papers/10.1193/1.2431396
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Bruneau, M., & Reinhorn, A. (2007). Exploring the Concept of Seismic Resilience for Acute Care Facilities. Earthquake Spectra. https://doi.org/10.1193/1.2431396

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.