The Optimal Cost Design of Reinforced Concrete Beams Using an Artificial Neural Network—The Effectiveness of Cost-Optimized Training Data

The Optimal Cost Design of Reinforced Concrete Beams Using an Artificial Neural Network—The Effectiveness of Cost-Optimized Training Data

This study presents a method for the automated design of reinforced concrete (RC) beam cross-sections using an artificial neural network (ANN) trained with cost-optimized data generated by the crow search algorithm (CSA). To effectively employ the CSA, recognized for its benefits in addressing engin...

Full description

Saved in:
Bibliographic Details
Main Authors: Jaemin So, Seungjae Lee, Jonghyeok Seong, Donwoo Lee
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Buildings
Subjects:
reinforced concrete beam
artificial neural network
crow search algorithm
automatic structural design
cost optimization
Online Access:https://www.mdpi.com/2075-5309/15/9/1577
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2075-5309/15/9/1577

Similar Items