Compressive Strength of Steel Fiber Reinforced Concrete Structures at Elevated Temperatures
Published: 19 April 2022| Version 1 | DOI: 10.17632/hjrfgys29n.1
Contributors:
Faramarz Bagehrzadeh, Description
Experimental studies using a substantial number of datasets can be avoided by employing efficient methods to predict the mechanical properties of construction materials. The correlation between the mechanical attributes and structural performance of these structures can be determined using an efficient mathematical model.
Files
Steps to reproduce
In this study, a large data-rich framework is constructed with data from 307 experiments conducted between 2000 and 2022 to predict the compressive strength of steel fiber reinforced concrete (SFRC) subjected to high temperatures.
Institutions
Politechnika Gdanska
Categories
Composite Material, Steel, Machine Learning, Fiber, Temperature, Reinforced Concrete