Restoration curves to estimate the downtime of critical infrastructures

O. Kammouh*, A. Zamani Noori, S. Marasco, G. P. Cimellaro

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

1 Citation (Scopus)

Abstract

Modeling the performance of critical infrastructures and their interdependencies is an important task in the resilience assessment. In this paper, restoration curves for four critical lifelines (power, water, gas, telecommunication, and transportation) have been developed using a probabilistic approach. To do that, a large database on infrastructure downtime has been collected for most of the earthquakes that occurred in the past century. The restoration curves have been grouped based on the earthquake magnitude and the level of development of the country in which the earthquake occurred. The curves are presented in terms of probability of recovery and time; the longer is the time after the disaster, the higher is the probability of the infrastructure to recover its functions.

Original languageEnglish
Title of host publication11th National Conference on Earthquake Engineering 2018, NCEE 2018
Subtitle of host publicationIntegrating Science, Engineering, and Policy
PublisherEarthquake Engineering Research Institute
Pages2300-2309
Number of pages10
ISBN (Electronic)9781510873254
Publication statusPublished - 2018
Externally publishedYes
Event11th National Conference on Earthquake Engineering 2018: Integrating Science, Engineering, and Policy, NCEE 2018 - Los Angeles, United States
Duration: 25 Jun 201829 Jun 2018

Publication series

Name11th National Conference on Earthquake Engineering 2018, NCEE 2018: Integrating Science, Engineering, and Policy
Volume4

Conference

Conference11th National Conference on Earthquake Engineering 2018: Integrating Science, Engineering, and Policy, NCEE 2018
Country/TerritoryUnited States
CityLos Angeles
Period25/06/1829/06/18

Fingerprint

Dive into the research topics of 'Restoration curves to estimate the downtime of critical infrastructures'. Together they form a unique fingerprint.

Cite this