Artificial neural network-based optimized design of reinforced concrete structures
- Author
- Won‐Kee Hong
- Publication Year
- 2023
- Publisher
- CRC Press
- Language
- English
- Document Type
- Book
- Faculty / Subject Heading
- Computer Science
- Download Book Read book
Introduces AI-based Lagrange optimization techniques that can enable more rational engineering decisions for concrete structures while conforming to codes of practice. It shows how objective functions including cost, CO2 emissions, and structural weight of concrete structures are optimized either separately or simultaneously while satisfying constraining design conditions using an ANN-based Lagrange algorithm. Any design target can be adopted as an objective function. Many optimized design examples are verified by both conventional structural calculations and big datasets. Uniquely applies the new powerful tools of AI to concrete structural design and optimization Multi-objective functions of concrete structures optimized either separately or simultaneously Design requirements imposed by codes are automatically satisfied by constraining conditions Heavily illustrated in color with practical design examples
Keywords: Artificial intelligence / Lagrange optimization / AI-based Lagrange optimization / Reinforced concrete optimization / ANN-based Hong-Lagrange method / ANN-based structural designs / Concrete structural design / Neural Networks / Concrete & Cement / Structural Engineering / Computer science / Geotechnical Engineering
