1st Edition
AI-Based Optimized Design of Structural Frames With Application to Practical Building Designs
1. Introduction to optimizations of structural frames.
2. An auto-design for optimizing RC frames using the ANN-based Hong-Lagrange algorithm.
3. An auto-design for optimizing prestressed frames using the ANN-based Hong-Lagrange algorithm.
4. An auto-design for optimizing steel frames using the ANN-based Hong-Lagrange algorithm.
5. A new GA using mutations with dynamic ranges and a probability-based natural selection method to optimize precast beams.
6. AI-based optimizations of RC and PT frames (AI-FRT) using penalty-based genetic algorithm with probabilistic-based natural selections (PPD-GA) using dynamic mutations.
Biography
Won‐Kee Hong is a professor of Architectural Engineering at Kyung Hee University, Republic of Korea. He has more than 35 years of professional experience in structural and construction engineering, having worked for Englekirk and Hart, USA; Nihon Sekkei, Japan; and Samsung Engineering and Construction, Korea. He has published more than 20 international papers in the field of AI‑based structural designs including building frames. He is the author of several books including Hybrid Composite Precast Systems (Elsevier), Artificial Intelligence‑Based Design of Reinforced Concrete Structures (Elsevier), Artificial Neural Network‑based Optimized Design of Reinforced Concrete Structures (CRC Press, Taylor & Francis Group) and Artificial Neural Network‑based Prestressed Concrete and Composite Structures (CRC Press, Taylor & Francis Group).
