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Artificial Neural Network-based Optimized Design of Reinforced Concrete Structures

WonKee Hong
pubblicato da CRC Press

Prezzo online:
69,09

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.

Dettagli down

Generi Scienza e Tecnica » Ingegneria e Tecnologia » Ingegneria civile, topografia, edilizia , Informatica e Web » Linguaggi e Applicazioni » Scienza dei calcolatori

Editore Crc Press

Formato Ebook con Adobe DRM

Pubblicato 11/01/2023

Lingua Inglese

EAN-13 9781000804799

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