Modeling the properties of terminal blend crumb rubber modified bitumen with crosslinking additives

• 主要な著者: Jegatheesan N., Ibrahim M.R., Ahmed A.N., Koting S., El-Shafie A., Katman H.Y.B.
• その他の著者: 57503097000
• フォーマット: 論文
• 出版事項: Elsevier Ltd 2025
• 主題: Regression analysis; Composite modification; Crosslinking additive; Crumb rubber; High interaction parameter; Interaction parameters; Machine learning algorithms; Modified bitumen; Prediction modelling; Terminal blend-crumb rubber modified bitumen; Terminal blends; Prediction models

This study aimed to develop models assessing 26 machine-learning algorithms in regression analysis to predict the properties of terminal blend crumb rubber-modified bitumen (TB-CRMB) made with crosslinking additives. During the data collection, the properties of the modified binders prepared at 6, 1...