Please use this identifier to cite or link to this item: https://hdl.handle.net/11681/32889
Title: Practical resilience metrics for coastal infrastructure features
Authors: Ayyub, Bilal M.
Keywords: Coastal engineering
Resilience (Ecology)
Natural disasters
Flood control
Statistics
Publisher: Coastal and Hydraulics Laboratory (U.S.)
Engineer Research and Development Center (U.S.)
Series/Report no.: Contract Report (Engineer Research and Development Center (U.S.)) ; no. ERDC/CHL CR-19-1
Abstract: This effort is directed towards improving basic understanding of the resilience of complex systems for the development of practical resilience metrics that quantify the capacity to withstand damages, rapidly recover, and adapt to future change. The resilience metrics are based on practical performance measures of coastal infrastructure. Massive savings could be realized by enhancing the resilience of a system, including infrastructure, networks, and communities through risk reduction and expeditious recovery. Existing metrics do not always lend themselves easily and intuitively to practical applications in effective and efficient manners. The coastal and storm damage reduction, navigation, and environmental missions of the U.S. Army Corps of Engineers (USACE) require consistent, transparent, quantitative metrics with which to understand the resiliency of these complex systems. This report provides a resilience definition that meets a set of requirements with clear relationships to metrics of the relevant abstract notions of reliability and risk. The report also provides metrics that are practical and simplified while capturing all the attribute set in the resilience definition. Recovery models with case studies, and illustrative examples, are also provided. Next steps are defined. The report contributes towards advancing the USACE capabilities in defining, quantifying, and assessing coastal and watershed system resilience.
Description: Contract Report
Gov't Doc #: ERDC/CHL CR-19-1
Rights: Approved for Public Release; Distribution is Unlimited
URI: https://hdl.handle.net/11681/32889
http://dx.doi.org/10.21079/11681/32889
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