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Predicting the volumetric behavior of crumb rubber asphalt mixtures via machine learning
This study examined advanced machine learning models to predict key volumetric parameters of stone mastic asphalt (SMA) mixtures incorporating waste tire rubber. The input parameters were rubber aggregate and rubber modifier. The target outputs were air void, voids filled with asphalt, voids in m
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