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Conference Paper: Physics-driven based resilience analysis of interdependent civil infrastructure systems – a case study in Hong Kong

TitlePhysics-driven based resilience analysis of interdependent civil infrastructure systems – a case study in Hong Kong
Authors
Issue Date2019
PublisherAmerican Society of Civil Engineers.
Citation
ASCE International Conference on Computing in Civil Engineering (I3CE) 2019, Atlanta, Georgia, USA, 17-19 June 2019. In Cho, YK ... et al (ed). Computing in Civil Engineering 2019: Smart Cities, Sustainability, and Resilience, p. 563-569. Reston, VA: American Society of Civil Engineers, 2019 How to Cite?
AbstractOperationalizing resilience principles, in particular when interdependency is considered, remains a major challenge. Using two interconnected infrastructure systems in an urban district of Hong Kong as case study, this paper conducts a precursor vulnerability analysis and investigates their resilience and interdependency in respond to weather-related events. The study incorporates relevant infrastructure information using the ArcGIS platform and integrates the physics-driven vulnerability analysis methods from the two distinct knowledge domains. Cascading effects are also delineated using an empirical nominal damage function. The research findings show that the incapacity of vulnerable components in one infrastructure system could degrade the performance of sub-systems of other infrastructures, and even lead to their network-level resilience performance deterioration. This research combines the multiple approaches for quantitative infrastructure vulnerability analysis and lays technical foundation for subsequent restoration and adaptability analysis of infrastructure resilience, and provides an interactive and integrative environment for resilience analysis from multidisciplinary perspectives.
DescriptionSession 2F. Intelligent and Sustainable Transportation safety, Health monitoring, and Condition Assessment 2 - #359
Persistent Identifierhttp://hdl.handle.net/10722/275394
ISBN

 

DC FieldValueLanguage
dc.contributor.authorYang, Y-
dc.contributor.authorNg, TST-
dc.contributor.authorZhou, S-
dc.contributor.authorXu, J-
dc.contributor.authorLi, HY-
dc.date.accessioned2019-09-10T02:41:40Z-
dc.date.available2019-09-10T02:41:40Z-
dc.date.issued2019-
dc.identifier.citationASCE International Conference on Computing in Civil Engineering (I3CE) 2019, Atlanta, Georgia, USA, 17-19 June 2019. In Cho, YK ... et al (ed). Computing in Civil Engineering 2019: Smart Cities, Sustainability, and Resilience, p. 563-569. Reston, VA: American Society of Civil Engineers, 2019-
dc.identifier.isbn9780784482445-
dc.identifier.urihttp://hdl.handle.net/10722/275394-
dc.descriptionSession 2F. Intelligent and Sustainable Transportation safety, Health monitoring, and Condition Assessment 2 - #359-
dc.description.abstractOperationalizing resilience principles, in particular when interdependency is considered, remains a major challenge. Using two interconnected infrastructure systems in an urban district of Hong Kong as case study, this paper conducts a precursor vulnerability analysis and investigates their resilience and interdependency in respond to weather-related events. The study incorporates relevant infrastructure information using the ArcGIS platform and integrates the physics-driven vulnerability analysis methods from the two distinct knowledge domains. Cascading effects are also delineated using an empirical nominal damage function. The research findings show that the incapacity of vulnerable components in one infrastructure system could degrade the performance of sub-systems of other infrastructures, and even lead to their network-level resilience performance deterioration. This research combines the multiple approaches for quantitative infrastructure vulnerability analysis and lays technical foundation for subsequent restoration and adaptability analysis of infrastructure resilience, and provides an interactive and integrative environment for resilience analysis from multidisciplinary perspectives.-
dc.languageeng-
dc.publisherAmerican Society of Civil Engineers.-
dc.relation.ispartofComputing in Civil Engineering 2019: Smart Cities, Sustainability, and Resilience-
dc.relation.ispartofASCE International Conference on Computing in Civil Engineering (i3CE) 2019-
dc.rightsComputing in Civil Engineering 2019: Smart Cities, Sustainability, and Resilience. Copyright © American Society of Civil Engineers.-
dc.titlePhysics-driven based resilience analysis of interdependent civil infrastructure systems – a case study in Hong Kong-
dc.typeConference_Paper-
dc.identifier.emailNg, TST: tstng@hku.hk-
dc.identifier.emailXu, J: frankxu@hkucc.hku.hk-
dc.identifier.authorityNg, TST=rp00158-
dc.identifier.doi10.1061/9780784482445.072-
dc.identifier.hkuros303410-
dc.identifier.spage563-
dc.identifier.epage569-
dc.publisher.placeReston, VA-

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