Development of a Resilience Assessment Methodology for Networked Infrastructure Systems using Stochastic Simulation, with application to Water Distribution Systems

Gay Alanis, Leon F.

Development of a Resilience Assessment Methodology for Networked Infrastructure Systems using Stochastic Simulation, with application to Water Distribution Systems

dc.contributor.author	Gay Alanis, Leon F.	en
dc.contributor.committeechair	Sinha, Sunil Kumar	en
dc.contributor.committeemember	Murray-Tuite, Pamela Marie	en
dc.contributor.committeemember	Pearce, Annie R.	en
dc.contributor.committeemember	Trani, Antonio A.	en
dc.contributor.department	Civil and Environmental Engineering	en
dc.date.accessioned	2014-10-24T06:00:11Z	en
dc.date.available	2014-10-24T06:00:11Z	en
dc.date.issued	2013-05-01	en
dc.description.abstract	Water distribution systems are critical infrastructure systems enabling the social and economic welfare of a community. While normal failures are expected and repaired quickly, low-probability and high consequence disruptive events have potential to cause severe damage to the infrastructure and significantly reduce their performance or even stop their function altogether. Resilient infrastructure is a necessary component towards achieving resilient and sustainable communities. Resilience concepts allow improved decision making in relation with risk assessment and management in water utilities. However, in order to operationalize infrastructure resilience concepts, it is fundamental to develop practical resilience assessment methods such as the methodology and tool proposed in this research, named Effective Resilience Assessment Methodology for Utilities (ERASMUS). ERASMUS utilizes a stochastic simulation model to evaluate the probability of resilient response from a water distribution system in case of disruption. This methodology utilizes a parametric concept of resilience, in which a resilient infrastructure system is defined in terms of a set of performance parameters compared with their socially acceptable values under a variety of disruptive events. The methodology is applied to two actual water distribution networks in the East and West coasts of the US.	en
dc.description.degree	Ph. D.	en
dc.format.medium	ETD	en
dc.identifier.other	vt_gsexam:642	en
dc.identifier.uri	http://hdl.handle.net/10919/50595	en
dc.publisher	Virginia Tech	en
dc.rights	In Copyright	en
dc.rights.uri	http://rightsstatements.org/vocab/InC/1.0/	en
dc.subject	Critical Infrastructure Systems	en
dc.subject	Asset Management	en
dc.subject	Resilience	en
dc.subject	Water Distribution Systems	en
dc.subject	Stochastic Simulation	en
dc.title	Development of a Resilience Assessment Methodology for Networked Infrastructure Systems using Stochastic Simulation, with application to Water Distribution Systems	en
dc.type	Dissertation	en
thesis.degree.discipline	Civil Engineering	en
thesis.degree.grantor	Virginia Polytechnic Institute and State University	en
thesis.degree.level	doctoral	en
thesis.degree.name	Ph. D.	en