Badhan Chakma

Explainable Machine Learning Analysis of Temperature Effects on Mechanical Strength of Fiber-Reinforced High-Performance Concrete

This study evaluates eight machine-learning models and demonstrates that ensemble approaches routinely surpass individual learners, and offers a precise and comprehensible methodology for evaluating temperature-dependent compressive strength and facilitate the practical, data-driven design of fiber-reinforced high-perf...