Partial differential equations (p.d.e) equipped with spatial derivatives of fractional order capture anomalous transport behaviors observed in diverse fields of Science. A number of numerical methods approximate their solutions in dimension one. Focusing our effort on such p.d.e. in higher dimension with Dirichlet boundary conditions, we present an approximation based on Lattice Boltzmann Method with Bhatnagar-Gross-Krook (BGK) or Multiple-Relaxation-Time (MRT) collision operators. First, an equilibrium distribution function is defined for simulating space-fractional diffusion equations in dimensions 2 and 3. Then, we check the accuracy of the solutions by comparing with (i) random walks derived from stable Levy motion, and (ii) exact solutions. Because of its additional freedom degrees, the MRT collision operator provides accurate approximations to space-fractional advection-diffusion equations, even in the cases which the BGK fails to represent because of anisotropic diffusion tensor or of flow rate destabilizing the BGK LBM scheme. (C) 2018 Elsevier B.V. All rights reserved.
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Bowen Co, Ave Canada, F-91940 Les Ulis, France
La Rochelle Univ, MIA Lab, BP, Ave Albert Einstein, BP 33060, F-17031 La Rochelle, FranceBowen Co, Ave Canada, F-91940 Les Ulis, France
Michelet, Jordan
Tekitek, Mohamed Mahdi
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La Rochelle Univ, MIA Lab, BP, Ave Albert Einstein, BP 33060, F-17031 La Rochelle, FranceBowen Co, Ave Canada, F-91940 Les Ulis, France
Tekitek, Mohamed Mahdi
Berthier, Michel
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La Rochelle Univ, MIA Lab, BP, Ave Albert Einstein, BP 33060, F-17031 La Rochelle, FranceBowen Co, Ave Canada, F-91940 Les Ulis, France
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Chuzhou Univ, Sch Math & Finance, Chuzhou 239000, Anhui, Peoples R ChinaChuzhou Univ, Sch Math & Finance, Chuzhou 239000, Anhui, Peoples R China
Yu, Xiaomei
Zhang, Ling
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Chuzhou Univ, Sch Math & Finance, Chuzhou 239000, Anhui, Peoples R ChinaChuzhou Univ, Sch Math & Finance, Chuzhou 239000, Anhui, Peoples R China
Zhang, Ling
Hu, Beibei
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Chuzhou Univ, Sch Math & Finance, Chuzhou 239000, Anhui, Peoples R China
Zhejiang Normal Univ, Dept Phys, Jinhua 321004, Peoples R ChinaChuzhou Univ, Sch Math & Finance, Chuzhou 239000, Anhui, Peoples R China
Hu, Beibei
Hu, Ye
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Lvliang Univ, Dept Math, Lishi 033000, Peoples R ChinaChuzhou Univ, Sch Math & Finance, Chuzhou 239000, Anhui, Peoples R China