Predicting the rutting parameters of nanosilica/waste denim fiber composite asphalt binders using the response surface methodology and machine learning methods
It is challenging to predict the mechanical properties of modified asphalt binders because of their complex nonlinear viscoelastic behavior. This study evaluates and compares the feasibility of using the response surface methodology (RSM) and machine learning (ML) methods to predict the shear strai...
| Main Authors: | , , , , , |
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| Format: | Article |
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Elsevier
2023
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