DESIGN OF COLD FORMED STEEL COMPRESSION MEMBERS USING ARTIFICIAL NEURAL NETWORKJournal: International Journal of Engineering Sciences & Research Technology (IJESRT) (Vol.4, No. 11)
Publication Date: 2015-11-30
Authors : V.Kannan;
Page : 409-417
Keywords : Artificial Neural Network (ANN); Cold formed steel; Back Propagation (BP); Permissible stress; Allowable Load.;
The main aim of this study is to demonstrate the usefulness of Artificial Neural Network (ANN) in the creation of knowledge base available in the form of design standards. As an example, in this study, ANN is used for designing of cold- formed steel compression members. A new methodology is developed for selection of cold formed steel compression members using ANN simulation. This methodology facilitates in quick selection of the cold formed section with minimum weight and adequate load carrying capacity is possible for column design from the available sections.
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