Artificial Neural Network-based Optimized Design of Reinforced Concrete Structures (PDF)
(Sprache: Englisch)
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...
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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.
Autoren-Porträt von Won-Kee Hong
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.
Bibliographische Angaben
- Autor: Won-Kee Hong
- 2023, 1. Auflage, 580 Seiten, Englisch
- Verlag: Taylor & Francis
- ISBN-10: 1000804747
- ISBN-13: 9781000804744
- Erscheinungsdatum: 11.01.2023
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 68 MB
- Ohne Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
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