Published Online: 07 March 2013
Accepted: January 2013
J. Chem. Phys. 138, 094508 (2013); https://doi.org/10.1063/1.4792045
more...View Affiliations
We propose a four-component united-atom molecular model of bitumen. The model includes realistic chemical constituents and introduces a coarse graining level that suppresses the highest frequency modes. Molecular dynamics simulations of the model are carried out using graphic-processor-units based software in time spans in order of microseconds, which enables the study of slow relaxation processes characterizing bitumen. This paper also presents results of the model dynamics as expressed through the mean-square displacement, the stress autocorrelation function, and rotational relaxation. The diffusivity of the individual molecules changes little as a function of temperature and reveals distinct dynamical time scales. Different time scales are also observed for the rotational relaxation. The stress autocorrelation function features a slow non-exponential decay for all temperatures studied. From the stress autocorrelation function, the shear viscosity and shear modulus are evaluated, showing a viscous response at frequencies below 100 MHz. The model predictions of viscosity and diffusivities are compared to experimental data, giving reasonable agreement. The model shows that the asphaltene, resin, and resinous oil tend to form nano-aggregates. The characteristic dynamical relaxation time of these aggregates is larger than that of the homogeneously distributed parts of the system, leading to strong dynamical heterogeneity.
  1. 1. A. Wiehe and K. S. Liang, “Asphaltenes, resin, and other petroleum macromolecules,” Fluid Phase Equilib. 117, 201 (1996). https://doi.org/10.1016/0378-3812(95)02954-0 , Google ScholarCrossref, CAS
  2. 2. E. Rogel and L. Carbognani, “Density estimate of asphaltenes using molecular dynamics simulations,” Energy Fuels 17, 378 (2003). https://doi.org/10.1021/ef020200r , , Google ScholarCrossref, CAS
  3. 3. L. Artok, Y. Hirose, Y. Su, M. Hosokawa, S. Murata, and M. Nomura, “Structure and reactivity of petroleum-derived asphaltene,” Energy Fuels 13, 287–296 (1999). https://doi.org/10.1021/ef980216a , , Google ScholarCrossref, CAS
  4. 4. J. Murgich, J. M. Rodriguez, and Y. Aray, “Molecular recognition and molecular mechanics of micelles of some model asphaltenes and resins,” Energy Fuels 10, 68–76 (1996). https://doi.org/10.1021/ef950112p , , Google ScholarCrossref, CAS
  5. 5. E. J. Barth, Asphalt; Science and Technology (Gordon and Breach, New York, 1962). , Google Scholar
  6. 6. L. Zhang and M. L. Greenfield, “Effect of polymer modification in properties and microstructures of model asphalt systems,” Energy Fuels 22, 3363–3375 (2008). https://doi.org/10.1021/ef700699p , Google ScholarCrossref, CAS
  7. 7. The Shell Bitumen Handbook, 5th ed., edited by F. S. Rostler and D. Whiteoak (Shell UK Oil Products Limited, London, 2003). , Google Scholar
  8. 8. B. Schmidt and J. C. Dyre, “CO2 emission reduction by exploitation of rolling resistance modelling pavements,” Procedia Soc. Behav. Sci. 48, 311 (2012). https://doi.org/10.1016/j.sbspro.2012.06.1011 , Google ScholarCrossref
  9. 9. L. Zhang and M. L. Greenfield, “Analyzing properties of model asphalt using molecular simulation,” Energy Fuels 21, 1712–1716 (2007). https://doi.org/10.1021/ef060658j , , Google ScholarCrossref, CAS
  10. 10. L. Zhang and M. L. Greenfield, “Molecular orientation in model asphalt using molecular simulation,” Energy Fuels 21, 1102–1111 (2007). https://doi.org/10.1021/ef060449z , , Google ScholarCrossref, CAS
  11. 11. L. Zhang and M. L. Greenfield, “Relaxation time, diffusion and viscosity analysis of model asphalt systems using molecular simulation,” J. Chem. Phys. 127, 194502 (2007). https://doi.org/10.1063/1.2799189 , , Google ScholarScitation, ISI
  12. 12. L. Zhang and M. L. Greenfield, “Rotational relaxation times of individual compounds within simulations of molecular asphalt models,” J. Chem. Phys. 132, 184502 (2010). https://doi.org/10.1063/1.3416913 , , Google ScholarScitation, ISI
  13. 13. CRC Handbook of Chemistry and Physics, edited by D. R. Lide (CRC, Cleveland, 1976). , Google Scholar
  14. 14. R. L. Hubbard and K. E. Stanfield, “Determination of asphaltenes, oils, and resins in asphalt,” Anal. Chem. 20, 460 (1948). https://doi.org/10.1021/ac60017a015 , Google ScholarCrossref, CAS
  15. 15. F. S. Rostler, “Fractional composition—Analytical and functional significance, bitominous materials: Asphalt, tars and pitches,” in Asphalts, edited by A. J. Hoiberg (Wiley, 1965), Vol. 2. , Google Scholar
  16. 16. S. Toxvaerd, “Molecular dynamics calculation of the equation of state of alkanes,” J. Chem. Phys. 93, 4290 (1990). https://doi.org/10.1063/1.458709 , Google ScholarScitation, CAS
  17. 17. N. Bailey et al., “RUMD: GPU-based molecular dynamics software” (unpublished), see http://rumd.org. , Google Scholar
  18. 18. F. S. Rostler and R. M. White, “Influence of chemical composition of asphalts on performance, particular durability,” ASTM Spec. Tech. Publ. 277, 64 (1959). Google Scholar
  19. 19. ASTM, 1995 Annual Book of Standards: Method D (American Society for Testing and Materials, Philadelphia, PA, 2007). Google Scholar
  20. 20. F. D. Rossini, B. J. Mair, and A. J. Streiff, Hydrocarbons from Petroleum: The fractionation, Analysis, Isolation, Purification and Properties of Petroleum Hydrocarbons (American Petroleum Institute Research, 1953). Google Scholar
  21. 21. D. A. Storm, J. C. Edwards, S. J. DeCanio, and E. Y. Sheu, “Molecular representations of Ratawi and Alaska North slope asphaltenes based on liquid- and solid-state NMR,” Energy Fuels 8, 561–566 (1994). https://doi.org/10.1021/ef00045a007 , Google ScholarCrossref, CAS
  22. 22. W. L. Jorgensen and J. Tirado-Rives, “The OPLS potential functions for proteins, energy minimization for crystals of cyclic peptides and crambin,” J. Am. Chem. Soc. 110, 1657 (1988). https://doi.org/10.1021/ja00214a001 , , Google ScholarCrossref, CAS
  23. 23. See http://avogadro.openmolecules.net for Avogadro. , Google Scholar
  24. 24. J. Wang, R. M. Wolf, J. W. Caldwell, P. A. Kollman, and D. A. Case, “Development and testing of a general amber force field,” J. Comput. Chem. 25, 1157 (2004). https://doi.org/10.1002/jcc.20035 , Google ScholarCrossref, CAS
  25. 25. R. Catlow, S. C. Parker, and P. Allen, Computer Modelling of Fluids Polymers and Solids, NATO ASI Series: Mathematical and Physical Sciences (Springer, 1989). , Google ScholarCrossref
  26. 26. S. Nosé, “A molecular dynamics method for simulation in the canonical ensemble,” Mol. Phys. 52, 255–268 (1984). https://doi.org/10.1080/00268978400101201 , , Google ScholarCrossref, CAS
  27. 27. W. G. Hoover, “Canonical dynamics: Equilibrium phase-space distributions,” Phys. Rev. A 31, 1695–1697 (1985). https://doi.org/10.1103/PhysRevA.31.1695 , , Google ScholarCrossref, CAS
  28. 28. D. Frenkel and B. Smit, Understanding Molecular Simulation (Academic, London, 1996). , Google Scholar
  29. 29. The viscosity data for the straight run paving grade bitumen 70/100 (sample ID SV11274) are obtained by combining two measurement techniques. In the temperature range from 100 and down to 30 °C in successive step of 10 °C, the complex shear modulus is determined by a dynamic shear rheometer with frequency sweeps from 0.01 Hz to 10 Hz under constant strain amplitude similar to the principle described in European standard EN 14770. From the complex shear modulus and phase angle, the viscosity is calculated. At 135 °C and 180 °C, the Newtonian viscosity is determined by rotational viscometry using a co-axial cylinder system (“Brookfield”) in accordance with European standard EN 13302. Further details can be found in E. Nielsen, Rubber modified asphalt—Report on trial sections with rubber modified asphalt with the product ROAD+GENAN A/S), Danish Road Directorate, report no. 432, 2013. Google Scholar
  30. 30. J. P. Hansen and I. R. McDonald, Theory of Simple Liquids (Academic, London, 2006). Google Scholar
  31. 31. S. R. Upreti and A. K. Mehrotra, “Diffusivity of CO2, CH4, C2 H4, and n2 in Athabasca bitumen,” Can. J. Chem. Eng. 80, 116 (2002). https://doi.org/10.1002/cjce.5450800112 , Google ScholarCrossref, CAS
  32. 32. L. Berthier and G. Biroli, “Theoretical perspective on the glass transition and amorphous materials,” Rev. Mod. Phys. 83, 587 (2011). https://doi.org/10.1103/RevModPhys.83.587 , , Google ScholarCrossref, CAS
  33. 33. M. D. Ediger and Peter Harrowell, “Perspective: Supercooled liquids and glasses,” J. Chem. Phys. 137, 080901 (2012). https://doi.org/10.1063/1.4747326 , , Google ScholarScitation, CAS
  34. 34. J. H. Irving and J. G. Kirkwood, “The statistical mechanical theory of transport processes. IV. The equations of hydrodynamics,” J. Chem. Phys. 18, 817 (1950). https://doi.org/10.1063/1.1747782 , , Google ScholarScitation, ISI, CAS
  35. 35. B. D. Todd and P. J. Daivis, “Homogeneous non-equilibrium molecular dynamics simulations of viscous flow: Techniques and applications,” Mol. Simul. 33, 189 (2007). https://doi.org/10.1080/08927020601026629 , , Google ScholarCrossref, CAS
  36. 36. A. Cavagna, “Supercooled liquids for pedestrians,” Phys. Rep. 476, 51 (2009). https://doi.org/10.1016/j.physrep.2009.03.003 , , Google ScholarCrossref, CAS
  37. 37. M. T. Cicerone and M. D. Ediger, “Enhanced translation of probe molecules in supercooled oterphenyl: Signature of spatially heterogeneous dynamics?,” J. Chem. Phys. 104, 7210 (1996). https://doi.org/10.1063/1.471433 , , Google ScholarScitation, CAS
  38. 38. T. Hecksher, A. I. Nielsen, N. B. Olsen, and J. C. Dyre, “Little evidence for dynamic divergences in ultraviscous molecular liquids,” Nat. Phys. 4, 737 (2008). https://doi.org/10.1038/nphys1033 , , Google ScholarCrossref, CAS
  39. 39. R. B. Bird, R. C. Armstrong, and O. Hassager, Dynamics of Polymeric Liquids (Wiley, 1987). , Google Scholar
  40. 40. J. G. Erdman, T. F. Yen, and S. S. Pollack, “Investigation of the structure of petroleum asphaltene by x-ray diffraction,” Anal. Chem. 33, 1587–1594 (1961). https://doi.org/10.1021/ac60179a039 , Google ScholarCrossref
  41. 41. O. C. Mullins, H. Sabbah, J. Eyssautier, A. E. Pomerantz, L. Barré, A. B. Andrews, Y. Ruiz-Morales, F. Mostowfi, R. McFarlane, L. Goual, R. Lepkowicz, T. Cooper, J. Orbulescu, R. M. Leblanc, J. Edwards, and R. N. Zare, “Advances in asphaltene science and the Yen-Mullins model,” Energy Fuels 26, 3986 (2012). https://doi.org/10.1021/ef300185p , , Google ScholarCrossref, CAS
  42. © 2013 American Institute of Physics.

Select Your Access


Purchase

Standard PPV for $30.00