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Artificial Neural Networks And Artificial Intelligence Paradigms In Damage Assessment Of Steel Railway Bridges

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dc.contributor.author Barai, Sudhir Kumar
dc.date.accessioned 2021-11-27T04:13:43Z
dc.date.available 2021-11-27T04:13:43Z
dc.date.issued 2013
dc.identifier.uri http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/3668
dc.description.abstract Structural 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 profeselonally en_US
dc.language.iso en en_US
dc.subject Civil Engineering en_US
dc.subject Railroad Bridges en_US
dc.subject Artificial Neural Networks (ANN) en_US
dc.subject Artificial Intelligence (AI) en_US
dc.subject Structural Damage Assessment en_US
dc.subject Damage Assessment en_US
dc.title Artificial Neural Networks And Artificial Intelligence Paradigms In Damage Assessment Of Steel Railway Bridges en_US
dc.type Article en_US


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