Creation of Knowledge Base for Design of Steel Compression Members in Towers/Trusses using Artificial Neural Networks
IR@SERC: CSIR-Structural Engineering Research Centre, Chennai
View Archive Info| Field | Value | |
| Title |
Creation of Knowledge Base for Design of Steel Compression Members in Towers/Trusses using Artificial Neural Networks
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| Creator |
Rama Raju, K.
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| Subject |
Steel compression
Towers Trusses Nural networks |
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| Description |
The main aim of this paper 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 paper, ANN is used for design of compression member. A new methodology is developed for arriving at optimum column section for the given
effective length and compressive load using Artificial Neural Network simulation. This methodology facilitates in quick selection of the section with minimum weight and adequate load carrying capacity is possible for column
design from the available sections. The present method is developed for design of columns with hot rolled angle sections given in IS:808-1989. The steps involved in capturing the buckling equation of steel compression members
in a feed-forward neural network and the same is used for design of a space truss. The developed model can be used in optimum design of towers/trusses
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| Date |
2009
2009 2004 |
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| Type |
Article
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| Identifier |
Journal of Structural Engineering, Vol.30, No.4, January-March 2004, pp.247-257
http://hdl.handle.net/123456789/363 |
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| Language |
en
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| Rights |
It is tried to respect the rights of the copyright holders to the best of the knowledge. If it is brought to our notice that the rights are violated then the item would be withdrawn.
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| Publisher |
Structural Engineering Research Center, Chennai
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