System-reliability-based disaster resilience analysis: Framework and applications to structural systems. (May 2022)
- Record Type:
- Journal Article
- Title:
- System-reliability-based disaster resilience analysis: Framework and applications to structural systems. (May 2022)
- Main Title:
- System-reliability-based disaster resilience analysis: Framework and applications to structural systems
- Authors:
- Lim, Seonghyun
Kim, Taeyong
Song, Junho - Abstract:
- Highlights: Disaster resilience is characterized by reliability, redundancy, and recoverability. 3 × 3 resilience matrix delineates these criteria at three different scales of systems. Reliability (β) and redundancy (π) indices are defined for individual structures. Disaster resilience limit state is derived in terms of β and π for socially acceptable risk. β-π diagram is proposed as a graphical tool for resilience assessment and decision making. Abstract: As part of the recent effort to understand the performance capabilities of various engineering systems from their initial disruptions to the recovery phase, interest in the concept of resilience has been growing. In particular, to assess the disaster resilience of civil infrastructures subjected to natural or man-made hazards, various resilience criteria have been proposed. Given that infrastructures are complex systems consisting of components whose post-disaster performance capabilities are uncertain and interdependent, a system-reliability-based perspective is needed for a comprehensive evaluation of their disaster resilience. To this end, this paper characterizes disaster resilience from a system-reliability-based perspective in terms of three criteria: reliability, redundancy, and recoverability. These criteria are then discussed at each of the three scales of infrastructure systems, i.e., individual structures, infrastructure networks, and urban communities. Among the research needs and opportunities identified forHighlights: Disaster resilience is characterized by reliability, redundancy, and recoverability. 3 × 3 resilience matrix delineates these criteria at three different scales of systems. Reliability (β) and redundancy (π) indices are defined for individual structures. Disaster resilience limit state is derived in terms of β and π for socially acceptable risk. β-π diagram is proposed as a graphical tool for resilience assessment and decision making. Abstract: As part of the recent effort to understand the performance capabilities of various engineering systems from their initial disruptions to the recovery phase, interest in the concept of resilience has been growing. In particular, to assess the disaster resilience of civil infrastructures subjected to natural or man-made hazards, various resilience criteria have been proposed. Given that infrastructures are complex systems consisting of components whose post-disaster performance capabilities are uncertain and interdependent, a system-reliability-based perspective is needed for a comprehensive evaluation of their disaster resilience. To this end, this paper characterizes disaster resilience from a system-reliability-based perspective in terms of three criteria: reliability, redundancy, and recoverability. These criteria are then discussed at each of the three scales of infrastructure systems, i.e., individual structures, infrastructure networks, and urban communities. Among the research needs and opportunities identified for the nine combinations of the resilience criteria and application scales (termed a "3x3 resilience matrix"), this paper focuses on a comprehensive assessment of the reliability and redundancy of an individual structure and proposes what is termed a "reliability-redundancy (β-π) analysis" method along with a consideration of recoverability. For each of the initial disruption scenarios of component failures, the proposed analysis method computes the reliability index (β) and redundancy index (π) based on the probabilities of the scenario and the corresponding system-level failure, respectively. Using a β-π diagram that shows the pairs of the calculated indices for a given type of hazard, one can compute the system-level failure probability per hazard occurrence and identify critical initial disruption scenarios requiring further investigations and actions to assure proper disaster resilience. By incorporating a recoverability index into the β-π diagram, decision-makers can identify top-priority initial disruption scenarios from a disaster resilience viewpoint. Numerical examples illustrate the proposed β-π analysis method and demonstrate its general applicability and effectiveness during the effort to evaluate and manage the disaster resilience of structural systems. The source codes of the paper are available for download at https://github.com/Seonghyun-Lim/beta-pi_analysis . … (more)
- Is Part Of:
- Structural safety. Volume 96(2022)
- Journal:
- Structural safety
- Issue:
- Volume 96(2022)
- Issue Display:
- Volume 96, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 96
- Issue:
- 2022
- Issue Sort Value:
- 2022-0096-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-05
- Subjects:
- Disaster resilience -- Structural system reliability -- Resilience criteria -- Reliability -- Redundancy -- Recoverability
Structural stability -- Periodicals
Safety factor in engineering -- Periodicals
Reliability (Engineering) -- Periodicals
Constructions -- Stabilité -- Périodiques
Coefficient de sécurité en ingénierie -- Périodiques
Fiabilité -- Périodiques
620.86 - Journal URLs:
- http://www.sciencedirect.com/science/journal/01674730 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.strusafe.2022.102202 ↗
- Languages:
- English
- ISSNs:
- 0167-4730
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 8478.550000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 21071.xml