Artificial Intelligence-based Design of Reinforced Concrete Structures : Artificial Neural Networks for Engineering Applications

Dr. 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 hybrid composite structures and is the author of more than 100 technical papers and over 100 patents in both Korea and USA. In 2019, Dr. Hong also published “Hybrid Composite Precast Systems: Numerical Investigation to Construction”, in the Woodhead Publishing Series in Civil and Structural Engineering, which has had an enthusiastic reception from readers. In this book, the author presented the basic concepts of artificial neural networks (ANNs) in Chapter 10 which contains an introduction to the implementation of AI-based neural networks applied to the design of reinforced concrete beams. More than 15 papers of Dr. Hong on the area of AI-based structural designs have been published or accepted in Journals published by Elsevier, Taylors and Francis. He also runs a YouTube channel (Deep learning for beginners; Won-Kee Hong, Kyung Hee University) on AI-based structural designs. Dr. Hong is a registered professional and structural engineer both in Korea and the United States.