AI-Based Optimized Design of Structural Frames : With Application to Practical Building Designs
Language: English
Published by CRC Press, 2024
- Hardcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 418.78
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Add to basketItem description from seller
nach der Bestellung gedruckt Neuware - Printed after ordering - This book introduces an auto-design-based optimization for building frames using an artificial neural networks (ANN)-based Lagrange method and genetic algorithms (GAs), and consistent with codes of practice. It is heavily illustrated with color figures and tables.
Seller Inventory # 9781032536811
- Title
- AI-Based Optimized Design of Structural Frames : With Application to Practical Building Designs
- Author
- Won¿Kee Hong
- Publisher
- CRC Press
- Publication year
- 2024
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 10
- 1032536810
- ISBN 13
- 9781032536811
- Item weight
- 1,322 grams
- Dimensions
- 260x183x37 mm
This book introduces an auto‑design‑based optimization for building frames using an artificial neural network (ANN)‑based Lagrange method and novel genetic algorithm (GA). The work of great mathematician Joseph‑Louis Lagrange and ANNs are merged to identify parameters that optimize structural frames of reinforced concrete, prestressed concrete, and steel frames subject to one or more design constraints. New features for enhancing conventional GA are also demonstrated to optimize structural frames.
New features for optimizing multiple design targets of the building frames are highlighted, while design requirements imposed by codes are automatically satisfied. Chapters provide readers with an understanding of how both ANN‑based and novel GA‑based structural optimization can be implemented in holistically optimizing designated design targets for building structural frames, guiding readers toward more rational designs that is consistent with American Institute of Steel Construction (AISC) and American Concrete Institute (ACI) standards. ANN‑based holistic designs of multi‑story frames in general and reinforced concrete, prestressed concrete, and steel frames in particular, are introduced.
This book suits structural engineers, architects, and graduate students in the field of building frame designs and is heavily illustrated with color figures and tables.
"Synopsis" may belong to another edition of this title.
About the Author
Won‐Kee Hong is a professor of Architectural Engineering at Kyung Hee University, Republic of Korea. He has more than 35 years of professional experience in structural and construction engineering, having worked for Englekirk and Hart, USA; Nihon Sekkei, Japan; and Samsung Engineering and Construction, Korea. He has published more than 20 international papers in the field of AI‑based structural designs including building frames. He is the author of several books including Hybrid Composite Precast Systems (Elsevier), Artificial Intelligence‑Based Design of Reinforced Concrete Structures (Elsevier), Artificial Neural Network‑based Optimized Design of Reinforced Concrete Structures (CRC Press, Taylor & Francis Group) and Artificial Neural Network‑based Prestressed Concrete and Composite Structures (CRC Press, Taylor & Francis Group).
"About the title" may belong to another edition of this title.
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