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Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/xmlui/handle/123456789/3668
Title: Artificial Neural Networks And Artificial Intelligence Paradigms In Damage Assessment Of Steel Railway Bridges
Authors: Barai, Sudhir Kumar
Keywords: Civil Engineering
Railroad Bridges
Artificial Neural Networks (ANN)
Artificial Intelligence (AI)
Structural Damage Assessment
Damage Assessment
Issue Date: 2013
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
URI: http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/3668
Appears in Collections:Department of Civil Engineering

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