Please use this identifier to cite or link to this item: https://ktisis.cut.ac.cy/handle/10488/14154
DC FieldValueLanguage
dc.contributor.authorSathananthan, S.-
dc.contributor.authorRafiq, M. I.-
dc.contributor.authorOnoufriou, Toula-
dc.date.accessioned2019-06-27T10:04:37Z-
dc.date.available2019-06-27T10:04:37Z-
dc.date.issued2008-12-01-
dc.identifier.citation1st International Symposium on Life-Cycle Civil Engineering, IALCCE'08, Varenna, Lake Como, Italy, 11 June 2008 through 14 June 2008en_US
dc.identifier.isbn0415468574;978-041546857-2-
dc.identifier.urihttps://ktisis.cut.ac.cy/handle/10488/14154-
dc.descriptionLife-Cycle Civil Engineering - Proceedings of the 1st International Symposium on Life-Cycle Civil Engineering, IALCCE '08 2008, Pages 643-648en_US
dc.description.abstractAt present almost all bridge owners and managers, i.e. Network Rail, Highways Agency and local authorities in the UK, carryout bridge inspections at regular intervals to collect information on condition and performance of bridges. Introduction of risk based approaches in the selection of inspection regimes can provide consistent safety levels within the network in a cost effective manner. This paper presents the development of a qualitative risk ranking strategy to characterize a network of bridges into groups with similar risk levels, which can form the basis for developing a risk based inspection regime over the network. There are a multitude of factors that affect risk. These factors are identified and rationally combined to present various attributes of bridges. A qualitative scoring system is then introduced which utilizes the attributes to rank bridges in terms of their relative risk. Sensitivity analysis is performed to quantify the effect of relative weights of the attributes on the risk scores. The methodology is demonstrated through its application on UK's Network Rail bridge stock comprising of about 40,000 bridges. The criteria to classify the severity of the attributes are established for the network. A random sample of bridges is ranked to illustrate the proposed methodology. © 2008 Taylor & Francis Group, London.en_US
dc.language.isoenen_US
dc.subjectInspectionen_US
dc.subjectMooringen_US
dc.subjectLife extensionen_US
dc.titleA risk ranking strategy for network level bridge managementen_US
dc.typeConference Papersen_US
dc.collaborationCyprus University of Technologyen_US
dc.collaborationUniversity of Surreyen_US
dc.subject.categoryCivil Engineeringen_US
dc.countryCyprusen_US
dc.countryUnited Kingdomen_US
dc.subject.fieldEngineering and Technologyen_US
dc.publicationPeer Revieweden_US
dc.relation.conferenceInternational Symposium on Life-Cycle Civil Engineeringen_US
dc.identifier.scopus2-s2.0-79952124969-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/79952124969-
cut.common.academicyear2008-2009en_US
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.languageiso639-1other-
crisitem.author.deptDepartment of Civil Engineering and Geomatics-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.parentorgFaculty of Engineering and Technology-
Appears in Collections:Δημοσιεύσεις σε συνέδρια/Conference papers
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