Optimum decomposition of the anisotropic diffusion term

dc.contributor.authorHASSAN MOUKALLED, FADL H.
dc.contributor.authorMangani, Luca
dc.contributor.authorDarwish, Marwan S.
dc.contributor.departmentDepartment of Mechanical Engineering
dc.contributor.facultyMaroun Semaan Faculty of Engineering and Architecture (MSFEA)
dc.contributor.institutionAmerican University of Beirut
dc.date.accessioned2025-01-24T11:32:16Z
dc.date.available2025-01-24T11:32:16Z
dc.date.issued2017
dc.description.abstractA new decomposition method for the discretization of anisotropic diffusion term is developed. The method is a generalization of the optimum decomposition practice adopted in discretizing the isotropic diffusion flux. The new approach is applied in conjunction with the well-known semi-implicit and recently developed modified implicit nonlinear diffusion schemes and used for discretizing the anisotropic diffusion term. The resulting discretization methods are used for solving several anisotropic diffusion problems to compare the performance of the new decomposition technique with the standard one. Results generated demonstrate the virtues of the new method, which leads to a reduction in the CPU times needed for convergence by percentages reaching a level as high as 70%. © 2017 Taylor & Francis.
dc.identifier.doihttps://doi.org/10.1080/10407790.2017.1377534
dc.identifier.eid2-s2.0-85029921532
dc.identifier.urihttp://hdl.handle.net/10938/27752
dc.language.isoen
dc.publisherTaylor and Francis Ltd.
dc.relation.ispartofNumerical Heat Transfer, Part B: Fundamentals
dc.sourceScopus
dc.subjectAnisotropy
dc.subjectDiscrete event simulation
dc.subjectOptical anisotropy
dc.subjectAnisotropic diffusion
dc.subjectDecomposition methods
dc.subjectDecomposition technique
dc.subjectDiscretization method
dc.subjectDiscretizations
dc.subjectIsotropic diffusion
dc.subjectNew approaches
dc.subjectNonlinear diffusion
dc.subjectDiffusion
dc.titleOptimum decomposition of the anisotropic diffusion term
dc.typeArticle

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
2017-4446.pdf
Size:
2.94 MB
Format:
Adobe Portable Document Format