Won-Kee Hong

Artificial Neural Network-based Optimized Design of Reinforced Concrete Structures (eBook, ePUB)

• Format: ePub

Produktbeschreibung

This book introduces AI-based Lagrange optimization techniques which enable more optimised concrete structural design, while conforming to codes of practice. The principles are outlined and then applied to the design of RC columns and beams, offering insight for both advanced practitioners and graduate students.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 580
• Erscheinungstermin: 11. Januar 2023
• Englisch
• ISBN-13: 9781000804799
• Artikelnr.: 66872961

Autorenporträt

Won-Kee Hong is a professor of architectural engineering at Kyung Hee University, South Korea. He received his master's and PhD degrees from UCLA, and has worked for Englekirk and Hart, Inc. (USA), Nihhon Sekkei (Japan), and the Samsung Engineering and Construction Company (Korea). Dr. Hong has more than 35 years of professional experience in structural and construction engineering. He has been both an inventor and researcher in the field of modularized composite structures and is the author of more than 100 technical papers and over 100 patents in both Korea and The United States.

Inhaltsangabe

1. Introduction to Lagrange optimization for engineering applications 2. AI
based Lagrange optimization adopting universally generalizable functions 3. An optimized design of reinforced concrete columns based on an ANN
based Hong
Lagrange method 4. Optimizing reinforced concrete beam cost using ANN
based Hong
Lagrange method 5. ANN
based structural designs using Lagrange multipliers optimizing multiple objective functions Appendix A Appendix B Appendix C Appendix D