Design Optimization of Reinforced Concrete Beams by Genetically Optimized Neural Network Technique
An approach to find the accurate optimal solution for structural elements such as beams, columns, footings etc. has been studied by huge researches in the current situation. As an addition in this research paper optimal design of two different types of reinforced concrete beams with different loadin...
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| Veröffentlicht in: | IOP conference series. Materials Science and Engineering 2020-11, Vol.955 (1), p.12021 |
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| creator | Nongsiej, Eshanya Tongper Natarajan, Karthiga @ Shenbagam Murugesan, Saravanan |
| description | An approach to find the accurate optimal solution for structural elements such as beams, columns, footings etc. has been studied by huge researches in the current situation. As an addition in this research paper optimal design of two different types of reinforced concrete beams with different loading conditions one with concentrated load and another with UDL has been considered in addition to its self-weight, live load, equilibrium and serviceability constraints. Manual design of beams has been done in order to verify with the optimization technique limit state approach with accordance to the Indian standard codal provisions, classical and non-traditional optimization technique are done and the results are tabulated. |
| doi_str_mv | 10.1088/1757-899X/955/1/012021 |
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| subjects | Columns (structural) Concentrated loads Design optimization Limit states Live loads Neural networks Optimization techniques Reinforced concrete Scientific papers Structural members |
| title | Design Optimization of Reinforced Concrete Beams by Genetically Optimized Neural Network Technique |
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