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Predicting Asphalt Marshall Stability with ML by frvn skyhigh is a document available to read on EtoBox.

What is Predicting Asphalt Marshall Stability with ML about?

This study presents a method for predicting Marshall stability and flow parameters in asphalt pavements using explainable machine-learning models, addressing the inefficiencies of traditional testing methods. A dataset of 721 hot mix asphalt samples was analyzed, and the CatBoost regression model demonstrated superior performance with R2 values of 0.835 for stability and 0.845 for flow. The findings promote sustainable construction practices by enabling efficient preselection of design variables and reducin

Author
frvn skyhigh
Language
EN