Title:
Data-Driven PSO-CatBoost Machine Learning Model to Predict the Compressive Strength of CFRP-Confined Circular Concrete Specimens
Author(s):
Nima Khodadadi
Publication:
Web Session
Volume:
ws_F23_NimaKhodadadi.pdf
Issue:
Appears on pages(s):
Keywords:
DOI:
Date:
10/29/2023
Abstract:
The purpose of this session is to offer authors/speakers an open forum for presentation of recent technical information that does not fit into other sessions scheduled for this convention. Any aspect of structural analysis or design, concrete materials science, or construction, manufacturing, use, and maintenance and health monitoring of concrete structures and products can be presented.