A POROUS ELASTOPLASTIC COMPACTION MODEL FOR ASPHALT MIXTURES WITH PARAMETER ESTIMATION ALGORITHM

Abstract eng:
Estimation of compaction energy to reach a certain field density is essential when predicting construction costs for asphalt concrete pavements. A compaction model can be used to predict the required compaction energy and optimize the design requirements for field conditions. A mechanical model is developed to simulate laboratory compaction of asphalt mixture specimens. Gurson-Tvergaard porous material model with elastoplastic matrix is assumed to describe compaction of an uniaxial cylindrical specimen under a prescribed compaction pressure and cyclic shear strain induced by the Superpave Gyratory Compactor. Plastic strains are integrated from an incremental elastoplastic constitutive equation. Three model constants are estimated to determine measured deflections by means of Levenberg-Marquardt parameter estimation algorithm. Statistical correlations are constructed to evaluate effects of mixture properties on the estimated model constants. The proposed constitutive model accurately predicts the volume change of specimens undergoing continuous gyratory compaction. Estimated model constants proved strong correlations with mixture volumetric properties.

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