Enhancing stone matrix asphalt performance with sugarcane bagasse ash: Mechanical properties and machine learning-based predictions using XGBoost and random forest

Enhancing stone matrix asphalt performance with sugarcane bagasse ash: Mechanical properties and machine learning-based predictions using XGBoost and random forest

This study investigates the incorporation of Sugarcane Bagasse Ash (SCBA) as an alternative filler in Stone Matrix Asphalt (SMA) mixtures to enhance their mechanical and durability characteristics while promoting environmental sustainability. SCBA, a by-product of the sugar industry, was added at va...

Full description

Saved in:
Bibliographic Details
Main Authors: Hamed Khani Sanij, Rezvan Babagoli, Reza Mohammadi Elyasi
Format: Article
Language:English
Published: Elsevier 2025-12-01
Series:Case Studies in Construction Materials
Subjects:
Bitumen modification
Sugarcane bagasse
Stone matrix asphalt
Stiffness modulus
Rutting resistance
Online Access:http://www.sciencedirect.com/science/article/pii/S2214509525009842
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

http://www.sciencedirect.com/science/article/pii/S2214509525009842

Similar Items