1st Edition
Artificial Neural Network-based Designs of Prestressed Concrete and Composite Structures
1. Basic principles of prestressed structures based on Eurocode 2.
2. Holistic design of pre-tensioned concrete beams based on artificial neural networks.
3. An optimized design of pre-tensioned concrete beams using an ANN-based Lagrange algorithm.
4. Multi-objective optimizations (MOO) of pre-tensioned concrete beams using an ANN-based Lagrange algorithm.
5. Reverse design charts for steel-reinforced concrete beams based on artificial neural networks.
6. An optimization of steel-reinforced concrete beams using an ANN-based Lagrange algorithm.
7. Multi-objective optimization (MOO) for Steel-Reinforced Concrete Beam developed based on ANN-based Lagrange Algorithm.
8. An ANN-based reverse design of reinforced concrete columns encasing H-shaped steel section.
9. Design optimizations of concrete columns encasing H-shaped steel sections under a biaxial bending using an ANN-based Lagrange algorithm.
10. A Pareto frontier using an ANN-based multi-objective optimization (MOO) for concrete columns encasing H-shaped steel sustaining multi-biaxial loads.
Biography
Won‐Kee Hong is a Professor of Architectural Engineering at Kyung Hee University, South Korea. He has more than 35 years of professional experience in structural and construction engineering, having worked for Englekirk and Hart, USA; Nihhon Sekkei, Japan; and Samsung Engineering and Construction, Korea. He is the author of Artificial Neural Network-based Optimized Design of Reinforced Concrete Structures, also published by CRC Press.
