THERMAL SCIENCE

International Scientific Journal

A VARIABLE-ORDER FRACTAL DERIVATIVE MODEL FOR ANOMALOUS DIFFUSION

ABSTRACT
This paper pays attention to develop a variable-order fractal derivative model for anomalous diffusion. Previous investigations have indicated that the medium structure, fractal dimension or porosity may change with time or space during solute transport processes, results in time or spatial dependent anomalous diffusion phenomena. Hereby, this study makes an attempt to introduce a variable-order fractal derivative diffusion model, in which the index of fractal derivative depends on temporal moment or spatial position, to characterize the above mentioned anomalous diffusion (or transport) processes. Compared with other models, the main advantages in description and the physical explanation of new model are explored by numerical simulation. Further discussions on the dissimilitude such as computational efficiency, diffusion behavior and heavy tail phenomena of the new model and variable-order fractional derivative model are also offered.
KEYWORDS
PAPER SUBMITTED: 2016-04-15
PAPER REVISED: 2016-05-10
PAPER ACCEPTED: 2016-06-15
PUBLISHED ONLINE: 2016-10-01
DOI REFERENCE: https://doi.org/10.2298/TSCI160415244L
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2017, VOLUME 21, ISSUE Issue 1, PAGES [51 - 59]
REFERENCES
  1. Ge J., et al., Fractional diffusion analysis of the electromagnetic field in fractured media—Part 2: 3D approach, Geophysics, 80 (2015), 3, pp. E175-E185.
  2. Barkai E., G.Y., et al., Strange kinetics of single molecules in living cells, Phys. Today, 65 (2012), 8, pp. 29-35.
  3. Metzler R., Klafter J., The random walk's guide to anomalous diffusion: a fractional dynamics approach, Physics reports, 339 (2000), 1, pp. 1-77.
  4. Metzler R., Klafter J., The restaurant at the end of the random walk: recent developments in the description of anomalous transport by fractional dynamics, Journal of Physics A: Mathematical and General, 37 (2004) , 31, pp. R161.
  5. Sun H.G., et al., A semi-discrete finite element method for a class of time-fractional diffusion equations, Philosophical Transactions of the Royal Society of London A: Mathematical, Physical and Engineering Sciences, 371 (2013), 1990, pp. 20120268.
  6. Havlin S., Ben-Avraham D., Diffusion in disordered media, Advances in Physics, 36 (1987), 6, pp. 695-798.
  7. Scher H., et al., The dynamical foundation of fractal stream chemistry: The origin of extremely long retention times, Geophysical Research Letters, 29 (2002), 5, pp 1061.
  8. Duits M.H., et al, Mapping of spatiotemporal heterogeneous particle dynamics in living cells, Physical Review E, 79 (2009), pp. 051910.
  9. Gonzalez M.C., et al., Understanding individual human mobility patterns, Nature, 453 (2008), 7196. pp. 779-782.
  10. Sims D.W., et al., Scaling laws of marine predator search behaviour, Nature, 451 (2008), 7182, pp. 1098-1102.
  11. de Jager M., et al., Lévy walks evolve through interaction between movement and environmental complexity, Science, 332 (2011), 6037, pp. 1551-1553.
  12. Haggerty R., Gorelick S.M., Multiple-rate mass transfer for modeling diffusion and, Water Resources Research, 31 (1995), 10, pp. 2383-2400.
  13. Berkowitz B., Scher H., The role of probabilistic approaches to transport theory in heterogeneous media, in: Dispersion in Heterogeneous Geological Formations, Springer Netherlands 2001, pp. 241-263.
  14. Jiang X., Qi H., Thermal wave model of bioheat transfer with modified Riemann-Liouville fractional derivative, Journal of Physics A: Mathematical and Theoretical, 45 (2012), 48, pp. 485101.
  15. Sun H., et al.,Use of a variable-index fractional-derivative model to capture transient dispersion in heterogeneous media, Journal of contaminant hydrology, 157 (2014), pp. 47-58.
  16. Baleanu D., et al., Models and numerical methods, World Scientific, 3 (2012), pp.10-16.
  17. Chen W., Time-space fabric underlying anomalous diffusion, Chaos, Solitons & Fractals, 28 (2006), 4, pp. 923-929.
  18. Chen W., et al., Anomalous diffusion modeling by fractal and fractional derivatives, Computers & Mathematics with Applications, 59 (2010), 5, pp. 1754-1758.
  19. Reyes-Marambio J., A fractal time thermal model for predicting the surface temperature of air-cooled cylindrical Li-ion cells based on experimental measurements, Journal of Power Sources, 306 (2016), pp. 636-645.
  20. Boggs J.M., Field study of dispersion in a heterogeneous aquifer: 1. Overview and site description, Water Resources Research, 28 (1992), 12, pp. 3281-3291.
  21. Zhang Y., Time and space nonlocalities underlying fractional-derivative models: Distinction and literature review of field applications, Advances in Water Resources, 32 (2009), 4, pp. 561-581.
  22. Sabzikar F., et al., Tempered fractional calculus, Journal of Computational Physics, 293 (2015), pp. 14-28.
  23. Mainardi F., Some aspects of fractional diffusion equations of single and distributed order, Applied Mathematics and Computation, 187 (2007), 1, pp. 295-305.
  24. Hristov J., Approximate solutions to time-fractional models by integral balance approach, Chapter 5, In: Fractional Dynamics, C. Cattani, H.M. Srivastava, Xia-Jun Yang, (eds), De Gruyter Open, 2015 , pp.78-109.
  25. Sun H.G., et al, A fractal Richards' equation to capture the non-Boltzmann scaling of water transport in unsaturated media, Advances in Water Resources, 52 (2013), pp. 292-295.
  26. Koizumi M., FGM activities in Japan, Composites Part B: Engineering, 28 (1997), 1, pp. 1-4.
  27. Mishra S., et al., Subdiffusion, anomalous diffusion and propagation of particle moving on random and periodic Lorentz lattice gas, arXiv preprint arXiv:1509.06481, (2015).
  28. Forte G., et al., Non-anomalous diffusion is not always Gaussian, The European Physical Journal B, 87 (2014), 5. pp. 1-9.
  29. Metzler R., et al., Anomalous diffusion models and their properties: non-stationarity, non-ergodicity, and ageing at the centenary of single particle tracking, Physical Chemistry Chemical Physics, 16 (2014), 44, pp. 24128-24164.
  30. Greenenko A., et al., Anomalous diffusion and Lévy flights in channeling, Physics Letters A, 324 (2004) , 1, pp. 82-85.
  31. Sousa E., Finite difference approximations for a fractional advection diffusion problem, Journal of Computational Physics, 228 (2009), 11, pp. 4038-4054.
  32. Chen W., A speculative study of 2⁄ 3-order fractional Laplacian modeling of turbulence: Some thoughts and conjectures, Chaos: An Interdisciplinary Journal of Nonlinear Science, 16 (2006), 2, pp. 023126.
  33. Podlubny I., Fractional differential equations: an introduction to fractional derivatives, fractional differential equations, to methods of their solution and some of their applications, Academic press, 1998.
  34. Gorenflo R., Mainardi F., Random walk models for space-fractional diffusion processes, Fractional Calculus and Applied Analysis, 1 (1998), 1, pp. 167-191.
  35. Caputo M., Fabrizio M., Applications of new time and spatial fractional derivatives with exponential kernels, Progress in Fractional Differentiation and Applications, 2 (2016), 1, pp. 1-11.
  36. Liu F., et al., Stability and convergence of the difference methods for the space-time fractional advection-diffusion equation, Applied Mathematics and Computation, 191 (2007), 1, pp. 12-20.
  37. Zhang H., et al., Numerical approximation of Lévy-Feller diffusion equation and its probability interpretation, Journal of Computational and Applied Mathematics, 206 (2007), 2, pp. 1098-1115.

© 2024 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence