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AI-Based Optimized Design of Structural Frames: With Application to Practical Building Designs - Tapa blanda
Sinopsis
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.
"Sinopsis" puede pertenecer a otra edición de este libro.
Acerca del autor
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).
"Sobre este título" puede pertenecer a otra edición de este libro.
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AI-Based Optimized Design of Structural Frames: With Application to Practical Building Designs
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AI-Based Optimized Design of Structural Frames
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Condición: New. 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, U. Nº de ref. del artículo: 3236056876
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Ai-Based Optimized Design Of Structural Frames: With Application To Practical Building Designs
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AI-Based Optimized Design of Structural Frames (Paperback)
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Taylor & Francis Ltd, London, 2026
ISBN 10: 1032544317
ISBN 13: 9781032544311
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Paperback. Condición: new. Paperback. This book introduces an autodesignbased optimization for building frames using an artificial neural network (ANN)based Lagrange method and novel genetic algorithm (GA). The work of great mathematician JosephLouis 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 ANNbased and novel GAbased 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. ANNbased holistic designs of multistory 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. 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. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Nº de ref. del artículo: 9781032544311
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AI-Based Optimized Design of Structural Frames : With Application to Practical Building Designs
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Taylor & Francis Ltd (Sales) Jun 2026, 2026
ISBN 10: 1032544317
ISBN 13: 9781032544311
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Taschenbuch. Condición: Neu. Neuware - This book introduces an autödesign¿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. Nº de ref. del artículo: 9781032544311
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