Abstract
Hot mixed asphalt (HMA) is a mixture of particles (coarse and fine aggregates) and interstitial fluid (asphalt binder) designed to compact and harden for long-lasting roads. In this study, we implement a two-scale approach to capture the compaction behaviour of hot asphalt mixtures using both a granular-slurry rheology (GSR) at a smaller scale and a discrete element method (DEM) simulation at the scale of a compactor. We show that this modelling effort captures the compaction of HMA with different binder viscosities modified by adding graphene nano-platelets (GNP). This research has the capacity to shed light on how the properties of mixture components can influence compaction efficiency and effectiveness.
Highlights
Introduction to asphalt compactionCompaction of granular systems have long been of interest in improving our scientific understanding of dynamics of dry granular materials [1]
Compaction of dry and wet granular materials is of significant interest for applications from pharmaceutical tablet processing to infrastructure materials installation. We focus on such materials widely used in transportation infrastructure: asphalt mixtures
We focus on the effect of the viscosity of the binder / graphene nano-platelets (GNP) mixture
Summary
Compaction of granular systems have long been of interest in improving our scientific understanding of dynamics of dry granular materials [1]. We focus on such materials widely used in transportation infrastructure: asphalt mixtures. Engineers compact asphalt in the field by driving heavy rollers over the asphalt pavement, simultaneously shearing and pushing down on the mixture to compact the materials. Many experimental efforts aim to investigate how changing inputs to the mixture (e.g., addition of recycled materials) influences compaction efficiency. To understand the manner in which the addition of GNP affects the compaction rate of asphalt mixtures, we. We focus on the effect of the viscosity of the binder / GNP mixture
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