Artificial Neural Network-based Designs of Prestressed Concrete and Composite Structures
◆Taylor & Francis セール開催中!:2024年6月23日(日)ご注文分まで
※上記表示の販売価格は割引適用後の価格です 出版済み 3-5週間でお届けいたします。 Author: Hong, Won-Kee (Kyung Hee University, Republic of Korea) Publisher: Taylor & Francis ISBN: 9781032408088 Cover: HARDCOVER Date: 2023年09月 こちらの商品は学校・法人様向け(機関契約)のオンラインブック版がございます。 オンラインブックの価格、納期につきましては弊社営業員または当ECサイトよりお問い合わせください。 DESCRIPTION This introduces artificial neural network-based Lagrange optimization techniques for structural design in prestressed concrete based on Eurocode 2 and composite structures based on American Institute of Steel Construction and American Concrete Institute standards. ANN-based design charts show how to use the Lagrange multiplier method. TABLE OF CONTENTS 1. Basic principles of prestressed structures based on Eurocode 2. 2. Holistic design of pre-tensioned concrete beams based on artificial neural networks. 3. An optimized design of pre-tensioned concrete beams using an ANN-based Lagrange algorithm. 4. Multi-objective optimizations (MOO) of pre-tensioned concrete beams using an ANN-based Lagrange algorithm. 5. Reverse design charts for steel-reinforced concrete beams based on artificial neural networks. 6. An optimization of steel-reinforced concrete beams using an ANN-based Lagrange algorithm. 7. Multi-objective optimization (MOO) for Steel-Reinforced Concrete Beam developed based on ANN-based Lagrange Algorithm. 8. An ANN-based reverse design of reinforced concrete columns encasing H-shaped steel section. 9. Design optimizations of concrete columns encasing H-shaped steel sections under a biaxial bending using an ANN-based Lagrange algorithm. 10. A Pareto frontier using an ANN-based multi-objective optimization (MOO) for concrete columns encasing H-shaped steel sustaining multi-biaxial loads.
|