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Engineering resilience quantification and system design implications: a literature survey
Yodo, Nita Wang, Pingfeng
Yodo, Nita
Wang, Pingfeng
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2016-09-12
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Supply chain resilience,Self-healing materials,Reduction EDR method,Infrastructure systems,Tradespace exploration,Seismic resilience,Probability analysis,Disaster resilience,Stochastic-measures,Network resilience
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Yodo N, Wang P. Engineering Resilience Quantification and System Design Implications: A Literature Survey. ASME. J. Mech. Des. 2016;138(11):111408-111408-13
Abstract
A resilient system is a system that possesses the ability to survive and recover from the likelihood of damage due to disruptive events or mishaps. The concept that incorporates resiliency into engineering practices is known as engineering resilience. To date, engineering resilience is still predominantly application-oriented. Despite an increase in the usage of engineering resilience concept, the diversity of its applications in various engineering sectors complicates a universal agreement on its quantification and associated measurement techniques. There is a pressing need to develop a generally applicable engineering resilience analysis framework, which standardizes the modeling, assessment, and improvement of engineering resilience for a broader engineering discipline. This paper provides a literature survey of engineering resilience from the design perspective, with a focus on engineering resilience metrics and their design implications. The currently available engineering resilience quantification metrics are reviewed and summarized, the design implications toward the development of resilient-engineered systems are discussed, and further, the challenges of incorporating resilience into engineering design processes are evaluated. The presented study expects to serve as a building block toward developing a generally applicable engineering resilience analysis framework that can be readily used for system design.
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American Society of Mechanical Engineers
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Journal of Mechanical Design
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1050-0472