Show simple item record

dc.contributor.authorHaberlin Richard J.;Haimes Yacov Y.
dc.date.accessioned2019-02-26T07:45:30Z
dc.date.available2019-02-26T07:45:30Z
dc.date.issued2018
dc.identifier.other%28ASCE%29IS.1943-555X.0000421.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4249137
dc.description.abstractPresent modeling and risk management for resilience of interdependent and interconnected (I-I) physical and cyber-physical infrastructure systems of systems (SoS) often rely on the same risk functions, models, and algorithms used for single systems. This paper introduces an alternative methodology to model, manage, and prioritize safety critical infrastructure systems as complex systems of systems (complex SoS) for resilience planning and operation. The modeling methodology traces all critical I-I in terms of shared/common states (variables), decisions, decision makers, stakeholders, resources, time frame, and organizational setups. A prerequisite for modeling and managing complex SoS is an understanding of the mutual influence resulting from two or more subsystems that share states and other essential entities. Additionally, a novel implementation of fault trees is introduced to prioritize risk without the common need for or knowledge of the associated reliabilities.
dc.publisherAmerican Society of Civil Engineers
dc.titleRegional Infrastructures as Complex Systems of Systems: Shared-State Model for Regional Resilience
dc.typeJournal Paper
dc.journal.volume24
dc.journal.issue3
dc.journal.titleJournal of Infrastructure Systems
dc.identifier.doi10.1061/(ASCE)IS.1943-555X.0000421
dc.page4018010
dc.treeJournal of Infrastructure Systems:;2018:;Volume ( 024 ):;issue: 003
dc.contenttypeFulltext


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record