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ML - Rheological Structure-Activity Modeling of Crumb Rubber Powder Modified by Ngọc Hưng Trần is a document available to read on EtoBox.

What is ML - Rheological Structure-Activity Modeling of Crumb Rubber Powder Modified about?

This study presents a machine learning framework to analyze the temperature-dependent structure-property relationships of crumb rubber modified asphalt (CRMA). It utilizes a comprehensive dataset and predictive models, achieving high accuracy in predicting rheological behavior across various temperatures, while revealing the transition of governing mechanisms. The findings provide valuable insights for asphalt design and optimization, emphasizing the importance of microstructural features and their interact

Author

Ngọc Hưng Trần

Language

EN