Name: Artificial Neural Network-Based Optimized Design of Reinforced Concrete Structures (en Inglés)
SKU: 55655280
Price: 163.51 USD
Availability: InStock
Author: Won‐Kee Hong

portada Artificial Neural Network-Based Optimized Design of Reinforced Concrete Structures (en Inglés)

Artificial Neural Network-Based Optimized Design of Reinforced Concrete Structures (en Inglés)

Formato

Libro Físico

Editorial

Crc Press

Autor

Won‐Kee Hong

Idioma

Inglés

N° páginas

564

Encuadernación

Tapa Dura

ISBN13

9781032323688

N° edición

Artificial Neural Network-Based Optimized Design of Reinforced Concrete Structures (en Inglés)

Won‐Kee Hong (Autor) · Crc Press · Tapa Dura

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Reseña del libro "Artificial Neural Network-Based Optimized Design of Reinforced Concrete Structures (en Inglés)"

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.