Explainable machine learning driven predictive modeling of biochar-based cementitious composite

Fazal Hussain

doi:10.1016/j.jobe.2025.113942

Explainable machine learning driven predictive modeling of biochar-based cementitious composite

2025-09-12

0

PRE

AI

DOI：10.1016/j.jobe.2025.113942

Original

Original request for help

Save

Abstract

En 中文

• Explainable machine learning framework predicts mechanical properties of biochar-based cementitious composites. • Key factors identified: curing age, biochar dosage, surface area, carbon content, and pyrolysis. • Machine learning models validated using a newly experimental dataset. • Biochar shows strong potential for carbon storage and improved composite mechanical properties. • Automated design process cuts time, cost, and experiments for biochar-cementitious composites.

Explainable machine learning driven predictive modeling of biochar-based cementitious composite

Abstract

Journal

Organization