株式会社極東書店トップ ＞ 商品一覧 ＞ Artificial Neural Network-based Designs of Prestressed Concrete and Composite Structures.
商品詳細
Artificial Neural Network-based Designs of Prestressed Concrete and Composite Structures.
・ISBN 978-1-032-40808-8 hard GB£ 187.99
￥59,555.- (税込) ※（※）価格はご注文時の参考価格となります。
納品価格につきましては書籍の入荷時点で確定となります。
版元の原価改定、外国為替の変動等により異なる場合がございますので、予めご了承下さい。
| 著者・編者 | Hong, Won-Kee, |
|---|---|
| 出版社 | (CRC Press, UK) |
| 出版年月 | 2023 |
| ページ数 | 530 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A01-34771＞ |
解説
This book introduces artificial neural network (ANN)-based Lagrange optimization techniques for a structural design of prestressed concrete structures based on Eurocode 2, and composite structures based on American Institute of Steel Construction and American Concrete Institute standards. The book provides robust design charts for prestressed concrete structures, which are challenging to achieve using conventional design methods.
Using ANN-based design charts, the holistic design of a post-tensioned beam is performed to optimize design targets (objective functions), while calculating 21 forward outputs, in arbitrary sequences, from 21 forward inputs.
- Applies the powerful tools of ANN to the optimization of prestressed concrete structures and composite structures including columns and beams
- Multi-objective optimizations (MOO) of prestressed concrete beams are performed using an ANN-based Lagrange algorithm
- Offers a Pareto frontier using an ANN-based MOO for composite beams and composite columns sustaining multi-biaxial loads
- Heavily illustrated in color and with diverse practical design examples in line with EC2, ACI, and ASTM codes
The book offers optimal solutions for structural designers and researchers, enabling readers to construct design charts to minimize their own design targets under various design requirements based on any design code.