Artificial Neural Network-based Optimized Design of Reinforced Concrete Structures

Artificial Neural Network-based Optimized Design of Reinforced Concrete Structures utilizes AI-based Lagrange optimization techniques to enable more rational engineering decisions for concrete structures while conforming to codes of practice. It optimizes objective functions such as cost, CO2 emissions, and structural weight using an ANN-based Lagrange algorithm, with examples verified by conventional structural calculations and big datasets. The book is suitable for undergraduate and graduate students and engineers and contractors seeking to optimize concrete structures.

Format: Hardback
Length: 564 pages
Publication date: 11 January 2023
Publisher: Taylor & Francis Ltd

Artificial Neural Network-based Optimized Design of Reinforced Concrete Structures is a groundbreaking book that introduces AI-based Lagrange optimization techniques to enable more rational engineering decisions for concrete structures while conforming to codes of practice. It demonstrates how objective functions such as cost, CO2 emissions, and structural weight of concrete structures can be optimized either separately or simultaneously using an ANN-based Lagrange algorithm, while satisfying constraining design conditions. The book showcases numerous optimized design examples verified by both conventional structural calculations and large datasets, making it an invaluable resource for undergraduate and graduate students with a grasp of college-level calculus. Moreover, engineers and contractors seeking to optimize concrete structures will find this book particularly beneficial.

The book uniquely applies the powerful tools of AI to concrete structural design and optimization, enabling the optimization of multi-objective functions of concrete structures simultaneously. It automatically satisfies design requirements imposed by codes through constraining conditions, making the design process more efficient and reliable. The book is extensively illustrated in color with practical design examples, making it accessible and engaging for students and professionals alike.

With its comprehensive coverage and practical insights, Artificial Neural Network-based Optimized Design of Reinforced Concrete Structures is an essential resource for anyone involved in the design and construction of concrete structures. It will help students deepen their understanding of optimization techniques and their applications in concrete engineering, while providing engineers and contractors with valuable tools to optimize their designs and achieve better outcomes.

Weight: 1230g
Dimension: 254 x 178 (mm)
ISBN-13: 9781032323688