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- W3208484371 abstract "Studies involving the investigation of the influence of aggregate structure on the performance of an asphalt mixture are time and resource intensive in the laboratory. To efficiently conduct experimental research of this nature, computational models are highly beneficial due to their ability to execute broad parametric and probabilistic analyses. In this regard, previous study has examined the feasibility of using a Bullet physics engine based computational model to virtually compact asphalt mixtures using a simulated gyratory compactor and digitized aggregate particles. This study examines the effect of three parameters from this computational model that control the bonding or adhesive behavior, viscous damping, and mortar film thickness between discrete coarse aggregate particles. The model was calibrated based on the laboratory compaction of 15 different asphalt mixtures by developing prediction models to estimate parameters that drive the three aforementioned properties. The calibrated model was validated using three additional asphalt mixtures that were virtually compacted using the computational model. Results demonstrate that the compaction behavior from the calibrated computational model was very similar to the compaction behavior recorded from laboratory measurements." @default.
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- W3208484371 date "2021-12-01" @default.
- W3208484371 modified "2023-10-06" @default.
- W3208484371 title "Calibration and extended validation of a virtual asphalt mixture compaction model using bullet physics engine" @default.
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- W3208484371 doi "https://doi.org/10.1016/j.conbuildmat.2021.125257" @default.
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