Artificial Neural Network-based Optimized Design of Reinforced Concrete Structures 1st Edition 2022 Hardbound at Meripustak

Artificial Neural Network-based Optimized Design of Reinforced Concrete Structures 1st Edition 2022 Hardbound

Books from same Author: Hong, Won-Kee

Books from same Publisher: CRC Press

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  • General Information  
    Author(s)Hong, Won-Kee
    PublisherCRC Press
    Edition1st Edition
    ISBN9781032323688
    Pages564
    BindingHardbound
    LanguageEnglish
    Publish YearDecember 2022

    Description

    CRC Press Artificial Neural Network-based Optimized Design of Reinforced Concrete Structures 1st Edition 2022 Hardbound by Hong, Won-Kee

    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.