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Artificial Neural Network-based Optimized Design of Reinforced Concrete Structures
Engelsk
Bogcover for Artificial Neural Network-based Optimized Design of Reinforced Concrete Structures af Won-Kee Hong, 9781032323695
Specifikationer
Sprog:
Engelsk
Sider:
564
ISBN-13:
9781032323695
Indbinding:
Paperback
ISBN-10:
1032323698
Udg. Dato:
7 okt 2024
Størrelse i cm:
25,4 x 17,8
Oplagsdato:
7 okt 2024
Forfatter(e):

Artificial Neural Network-based Optimized Design of Reinforced Concrete Structures

Engelsk
Paperback 2024
Format:

Bog beskrivelse

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 optimization
  • Multi-objective functions of concrete structures optimized either separately or simultaneously
  • Design requirements imposed by codes are automatically satisfied by constraining conditions
  • Heavily illustrated in color with practical design examples

The 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.

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Specifikationer
Sprog:
Engelsk
Sider:
564
ISBN-13:
9781032323695
Indbinding:
Paperback
ISBN-10:
1032323698
Udg. Dato:
7 okt 2024
Størrelse i cm:
25,4 x 17,8
Oplagsdato:
7 okt 2024
Forfatter(e):
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