Earthquake response sensitivity of complex infrastructure networks

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dc.article.number2e-0007
dc.catalogadorpau
dc.contributor.authorLlera Martin, Juan Carlos de la
dc.contributor.authorMonsalve, Mauricio
dc.contributor.authorFerrario, Elisa
dc.contributor.authorAllen, E.
dc.contributor.authorChamorro, A.
dc.contributor.authorCastro, S.
dc.contributor.authorAlberto, Yolanda
dc.contributor.authorArróspide, Felipe
dc.contributor.authorPoulos, Alan
dc.contributor.authorCandia, G.
dc.contributor.authorAguirre, P.
dc.date.accessioned2023-03-14T16:00:19Z
dc.date.available2023-03-14T16:00:19Z
dc.date.issued2020
dc.description.abstractResilience of complex infrastructure networks is critical in achieving earthquake resilience in urban environments. Perhaps due to their modeling complexity, very few research studies have addressed sensitivity of the network response to a severe earthquake hazard field. This research aims to characterize earthquake response sensitivity as a function of different topological parameters of 5 critical complex networks in central Chile, covering the electric, transportation, and drinking water networks. Central Chile was selected because it amounts for almost 50% of the country’s population. What is also particular about this setting, is that the seismic characteristics of the region lead to extended (essentially) N-S strike fault ruptures, which run along the subduction margin defined by the E-W convergence between the South American and Pacific Ocean plates at an unusual rate of about 68 mm/year, thus involving in the strong-motion hazard field geographic scales in the hundreds of kilometers. It is concluded that node and link topological structures differ considerably between these complex systems, which are characterized by several different well-known centrality parameters and other interesting indices and network-class discriminators. Secondly, a component criticality analysis under an earthquake hazard field is also presented just in terms of connectivity/service loss, which enables, at least, a rough identification of the robustness of each network as nodes and links are removed. Results from these topological analyses are useful to identify which components are essential in generating larger earthquake resilience. This is the first time such results are obtained for central Chile using very detailed models of these complex networks
dc.fechaingreso.objetodigital2023-03-14
dc.format.extent12 páginas
dc.fuente.origenSIPA
dc.identifier.urihttps://wcee.nicee.org/wcee/article/17WCEE/2e-0007.pdf
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/66573
dc.information.autorucEscuela de Ingeniería; Llera Martin, Juan Carlos de la; 0000-0002-9064-0938; 53086
dc.language.isoen
dc.nota.accesoContenido completo
dc.relation.ispartofWorld Conference on Earthquake Engineering in (17° ; 2021 ; Sendai, Japan)
dc.rightsacceso restringido
dc.subjectComplex infrastructure networks
dc.subjectEarthquake resilience
dc.subjectCentrality indicators
dc.subjectComponent criticality
dc.subject.ddc620
dc.subject.deweyIngenieríaes_ES
dc.titleEarthquake response sensitivity of complex infrastructure networks
dc.typecomunicación de congreso
sipa.codpersvinculados53086
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