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Predictive Model for Asphalt with Waste Tire Char by ashokat2003 is a document available to read on EtoBox.
What is Predictive Model for Asphalt with Waste Tire Char about?
This study investigates the use of waste tire-derived char (WTDC) as a sustainable alternative fine aggregate in asphalt mixtures, employing a statistically coupled neural network (SCNN) model to predict their volumetric and Marshall properties. The optimal mixture was found to contain 5.025% asphalt binder and 3.079% WTDC, achieving over 98% prediction accuracy. The findings highlight WTDC
- Author
- ashokat2003
- Language
- EN