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dc.contributor.authorBarai, Sudhir Kumar-
dc.date.accessioned2021-11-27T04:13:43Z-
dc.date.available2021-11-27T04:13:43Z-
dc.date.issued2013-
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/3668-
dc.description.abstractStructural analysu, structural deslgn and structural apprasal are three mportaut constituents of structural engmeemg Though, the former two topics have been researched well and practiced mth greater emphssls, the latter has largely been Ignored by the profession at large Inspite of recorded evidence of major structural fadures world-mde, m senous attempts have been made towards systematic mvestlgation on the topic of struc-tural assessment, at par with the areas of dysu and design Only recently the importance and complexity of damage assessment~ s bemg bcussed openly and profeselonallyen_US
dc.language.isoenen_US
dc.subjectCivil Engineeringen_US
dc.subjectRailroad Bridgesen_US
dc.subjectArtificial Neural Networks (ANN)en_US
dc.subjectArtificial Intelligence (AI)en_US
dc.subjectStructural Damage Assessmenten_US
dc.subjectDamage Assessmenten_US
dc.titleArtificial Neural Networks And Artificial Intelligence Paradigms In Damage Assessment Of Steel Railway Bridgesen_US
dc.typeArticleen_US
Appears in Collections:Department of Civil Engineering

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