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Artificial Neural Network-based Optimized Design of Reinforced Concrete Structures - Softcover

 
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  • PublisherCRC Press
  • Publication date2024
  • ISBN 10 1032323698
  • ISBN 13 9781032323695
  • BindingPaperback
  • LanguageEnglish
  • Edition number1
  • Number of pages580

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ISBN 10:  103232368X ISBN 13:  9781032323688
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Hong, Won-kee
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Paperback. Condition: new. Paperback. Artificial Neural Network-based Optimized Design of Reinforced Concrete Structures introduces AI-based Lagrange optimization techniques that can enable more rational engineering decisions for concrete structures while conforming to codes of practice. It shows how objective functions including cost, CO2 emissions, and structural weight of concrete structures are optimized either separately or simultaneously while satisfying constraining design conditions using an ANN-based Lagrange algorithm. Any design target can be adopted as an objective function. Many optimized design examples are verified by both conventional structural calculations and big datasets.Uniquely applies the new powerful tools of AI to concrete structural design and optimizationMulti-objective functions of concrete structures optimized either separately or simultaneouslyDesign requirements imposed by codes are automatically satisfied by constraining conditionsHeavily illustrated in color with practical design examplesThe book suits undergraduate and graduate students who have an understanding of collegelevel calculus and will be especially beneficial to engineers and contractors who seek to optimize concrete structures. This book introduces AI-based Lagrange optimization techniques which enable more optimised concrete structural design, while conforming to codes of practice. The principles are outlined and then applied to the design of RC columns and beams, offering insight for both advanced practitioners and graduate students. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781032323695

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