Ulteriori informazioni
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.
Sommario
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
Info autore
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.
Riassunto
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.
