Modeling anomalous transport in fractal porous media: A study of fractional diffusion PDEs using numerical method
Fractional diffusion partial differential equation (PDE) models are used to describe anomalous transport phenomena in fractal porous media, where traditional diffusion models may not be applicable due to the presence of long-range dependencies and non-local behaviors. This study presents an efficien...
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my.uniten.dspace-371362025-03-03T15:47:52Z Modeling anomalous transport in fractal porous media: A study of fractional diffusion PDEs using numerical method Ahmad I. Mekawy I. Khan M.N. Jan R. Boulaaras S. 57220824630 57222488593 57205304990 57205596279 36994353700 Diffusion in liquids Fractals Heat conduction Heat convection Image segmentation Partial differential equations Porous materials Radial basis function networks Base function Convection-diffusion models Fractional derivatives Hybrid multiquadric-cubic radial base function Meshless collocation methods Modeling equations Multi terms Multiquadrics Multiterm time-fractional convection-diffusion model equation Radial basis Numerical methods Fractional diffusion partial differential equation (PDE) models are used to describe anomalous transport phenomena in fractal porous media, where traditional diffusion models may not be applicable due to the presence of long-range dependencies and non-local behaviors. This study presents an efficient hybrid meshless method to the compute numerical solution of a two-dimensional multiterm time-fractional convection-diffusion equation. The proposed meshless method employs multiquadric-cubic radial basis functions for the spatial derivatives, and the Liouville-Caputo derivative technique is used for the time derivative portion of the model equation. The accuracy of the method is evaluated using error norms, and a comparison is made with the exact solution. The numerical results demonstrate that the suggested approach achieves better accuracy and computationally efficient performance. ? 2024 the author(s), published by De Gruyter. Final 2025-03-03T07:47:52Z 2025-03-03T07:47:52Z 2024 Article 10.1515/nleng-2022-0366 2-s2.0-85187712625 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187712625&doi=10.1515%2fnleng-2022-0366&partnerID=40&md5=4f7a65a7a9b85666e1bcb0fe603dbc25 https://irepository.uniten.edu.my/handle/123456789/37136 13 1 20220366 All Open Access; Gold Open Access Walter de Gruyter GmbH Scopus |
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Diffusion in liquids Fractals Heat conduction Heat convection Image segmentation Partial differential equations Porous materials Radial basis function networks Base function Convection-diffusion models Fractional derivatives Hybrid multiquadric-cubic radial base function Meshless collocation methods Modeling equations Multi terms Multiquadrics Multiterm time-fractional convection-diffusion model equation Radial basis Numerical methods |
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Diffusion in liquids Fractals Heat conduction Heat convection Image segmentation Partial differential equations Porous materials Radial basis function networks Base function Convection-diffusion models Fractional derivatives Hybrid multiquadric-cubic radial base function Meshless collocation methods Modeling equations Multi terms Multiquadrics Multiterm time-fractional convection-diffusion model equation Radial basis Numerical methods Ahmad I. Mekawy I. Khan M.N. Jan R. Boulaaras S. Modeling anomalous transport in fractal porous media: A study of fractional diffusion PDEs using numerical method |
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Fractional diffusion partial differential equation (PDE) models are used to describe anomalous transport phenomena in fractal porous media, where traditional diffusion models may not be applicable due to the presence of long-range dependencies and non-local behaviors. This study presents an efficient hybrid meshless method to the compute numerical solution of a two-dimensional multiterm time-fractional convection-diffusion equation. The proposed meshless method employs multiquadric-cubic radial basis functions for the spatial derivatives, and the Liouville-Caputo derivative technique is used for the time derivative portion of the model equation. The accuracy of the method is evaluated using error norms, and a comparison is made with the exact solution. The numerical results demonstrate that the suggested approach achieves better accuracy and computationally efficient performance. ? 2024 the author(s), published by De Gruyter. |
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57220824630 |
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57220824630 Ahmad I. Mekawy I. Khan M.N. Jan R. Boulaaras S. |
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Article |
author |
Ahmad I. Mekawy I. Khan M.N. Jan R. Boulaaras S. |
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Ahmad I. |
title |
Modeling anomalous transport in fractal porous media: A study of fractional diffusion PDEs using numerical method |
title_short |
Modeling anomalous transport in fractal porous media: A study of fractional diffusion PDEs using numerical method |
title_full |
Modeling anomalous transport in fractal porous media: A study of fractional diffusion PDEs using numerical method |
title_fullStr |
Modeling anomalous transport in fractal porous media: A study of fractional diffusion PDEs using numerical method |
title_full_unstemmed |
Modeling anomalous transport in fractal porous media: A study of fractional diffusion PDEs using numerical method |
title_sort |
modeling anomalous transport in fractal porous media: a study of fractional diffusion pdes using numerical method |
publisher |
Walter de Gruyter GmbH |
publishDate |
2025 |
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1826077350052233216 |
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13.244413 |