Please use this identifier to cite or link to this item: http://hdl.handle.net/10362/153096
Title: 3D DEM model simulation of asphalt mastics with sunflower oil
Author: Câmara, Gustavo
Micaelo, Rui
Monteiro Azevedo, Nuno
Keywords: Asphalt mastic
Discrete element model
Generalized Kelvin model
Self-healing
Sunflower oil
Viscoelasticity
Computational Mechanics
Civil and Structural Engineering
Numerical Analysis
Modelling and Simulation
Fluid Flow and Transfer Processes
Computational Mathematics
Issue Date: Nov-2023
Abstract: A three-dimensional particle model, based on the asphalt mastic micro-structure representation following a discrete element model framework, was developed to investigate the influence of sunflower oil (rejuvenator) on the rheological properties of asphalt mastic. Dynamic shear rheometer tests in laboratory, for a frequency range of 0.1–20 Hz and temperatures in a range between 20 and 80 ∘C, were carried out in order to assess the viscoelastic behaviour of asphalt mastics containing different oil-to-bitumen content by mass proportions (2.5–20%). Master curves were constructed for two reference temperatures (30 ∘C and 50 ∘C). Experimental results showed that the increase in sunflower oil content resulted in a progressive decrease in viscosity. However, the rheological behaviour of the mastic containing the highest oil amount could not be properly represented in master curves, indicating that the specimen had a different rheological behaviour when compared with the lower oil contents responses. Numerical simulations of rheometer tests were carried out with an asphalt mastic particle assembly that emulated the experimental procedure. The viscoelastic contacts within the asphalt mastic assembly were simulated with a generalized Kelvin contact model. A calibration procedure was derived based on the fitting of laboratory data. The simulations were shown to have a good agreement with laboratory values. The average errors for the dynamic shear modulus and phase angle were 3.4% and 4.0%, respectively, considering both temperatures of analysis. Finally, a considerable improvement was accomplished in comparison with the numerical response obtained with the often-used Burgers model.
Description: Publisher Copyright: © 2023, The Author(s).
Peer review: yes
URI: http://hdl.handle.net/10362/153096
DOI: https://doi.org/10.1007/s40571-023-00574-1
ISSN: 2196-4378
Appears in Collections:FCT: DEC - Artigos em revista internacional com arbitragem científica

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