NEW IMPROVED FORMULAS FOR R/C COLUNMS SECTIONS BY ARTIFICIAL NEURAL NETWORKS
Ultimate strength design of the reinforced concrete (R/C) columns had been investigated and proposed several methods by researchers. Some of these methods are based on to use tables and/or charts while the others are required computer program. Using table or chart is slow and laborious and causes so...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Pamukkale University
2005-02-01
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| Series: | Pamukkale University Journal of Engineering Sciences |
| Subjects: | |
| Online Access: | http://dergipark.ulakbim.gov.tr/pajes/article/view/5000089449 |
| Summary: | Ultimate strength design of the reinforced concrete (R/C) columns had been investigated and proposed several methods by researchers. Some of these methods are based on to use tables and/or charts while the others are required computer program. Using table or chart is slow and laborious and causes some errors. On the other hand, one must have a computer within reach to use computer program. Our purpose in the present study is to provide simple and reliable formulas for design of rectangular R/C sections subject to axial forces and flexures by artificial neural networks (ANNs). Proposed formulas have been obtained for various steel grades (S220 and S420) and bar arrangements by training ANNs with produced data. |
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| ISSN: | 1300-7009 2147-5881 |