This book introduces an autodesignbased optimization for building frames using an artificial neural network (ANN)based Lagrange method and novel genetic algorithm (GA). The work of great mathematician JosephLouis Lagrange and ANNs are merged to identify parameters that optimize structural frames of reinforced concrete, prestressed concrete, and steel frames subject to one or more design constraints. New features for enhancing conventional GA are also demonstrated to optimize structural frames.
New features for optimizing multiple design targets of the building frames are highlighted, while design requirements imposed by codes are automatically satisfied. Chapters provide readers with an understanding of how both ANNbased and novel GAbased structural optimization can be implemented in holistically optimizing designated design targets for building structural frames, guiding readers toward more rational designs that is consistent with American Institute of Steel Construction (AISC) and American Concrete Institute (ACI) standards. ANNbased holistic designs of multistory frames in general and reinforced concrete, prestressed concrete, and steel frames in particular, are introduced.
This book suits structural engineers, architects, and graduate students in the field of building frame designs and is heavily illustrated with color figures and tables.
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.
WonKee 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 AIbased structural designs including building frames. He is the author of several books including Hybrid Composite Precast Systems (Elsevier), Artificial IntelligenceBased Design of Reinforced Concrete Structures (Elsevier), Artificial Neural Networkbased Optimized Design of Reinforced Concrete Structures (CRC Press, Taylor & Francis Group) and Artificial Neural Networkbased Prestressed Concrete and Composite Structures (CRC Press, Taylor & Francis Group).
