TY - JOUR
T1 - Numerical approach for modeling fractional heat conduction in porous medium with the generalized Cattaneo model
AU - Nikan, O.
AU - Avazzadeh, Z.
AU - Tenreiro Machado, J. A.
N1 - Publisher Copyright:
© 2021
PY - 2021/12
Y1 - 2021/12
N2 - The generalized Cattaneo model describes the heat conduction system in the perspective of time-nonlocality. This paper proposes an accurate and robust meshless technique for approximating the solution of the time fractional Cattaneo model applied to the heat flow in a porous medium. The fractional derivative is formulated in the Caputo sense with order 1<α<2. First, a finite difference technique of convergence order O(δt3−α) is adopted to achieve the temporal discretization. The unconditional stability of the method and its convergence are analysed using the discrete energy technique. Then, a local meshless method based on the radial basis function partition of unity collocation is employed to obtain a full discrete algorithm. The matrices produced using this localized scheme are sparse and, therefore, they are not subject to ill-conditioning and do not pose a large computational burden. Two examples illustrate in computational terms of the accuracy and effectiveness of the proposed method.
AB - The generalized Cattaneo model describes the heat conduction system in the perspective of time-nonlocality. This paper proposes an accurate and robust meshless technique for approximating the solution of the time fractional Cattaneo model applied to the heat flow in a porous medium. The fractional derivative is formulated in the Caputo sense with order 1<α<2. First, a finite difference technique of convergence order O(δt3−α) is adopted to achieve the temporal discretization. The unconditional stability of the method and its convergence are analysed using the discrete energy technique. Then, a local meshless method based on the radial basis function partition of unity collocation is employed to obtain a full discrete algorithm. The matrices produced using this localized scheme are sparse and, therefore, they are not subject to ill-conditioning and do not pose a large computational burden. Two examples illustrate in computational terms of the accuracy and effectiveness of the proposed method.
KW - Caputo fractional derivative
KW - Convergence
KW - Finite difference
KW - Fractional Cattaneo equation
KW - RBF-PU
KW - Stability
UR - http://www.scopus.com/inward/record.url?scp=85113422628&partnerID=8YFLogxK
U2 - 10.1016/j.apm.2021.07.025
DO - 10.1016/j.apm.2021.07.025
M3 - Article
AN - SCOPUS:85113422628
SN - 0307-904X
VL - 100
SP - 107
EP - 124
JO - Applied Mathematical Modelling
JF - Applied Mathematical Modelling
ER -