Galerkin/collocation methods based on 1D-integrated-RBFNs for viscoelastic flows

Ho-Minh, D. and Mai-Duy, Nam and Tran-Cong, Thanh (2010) Galerkin/collocation methods based on 1D-integrated-RBFNs for viscoelastic flows. CMES: Computer Modeling in Engineering and Sciences, 70 (3). pp. 217-251. ISSN 1526-1492

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Abstract

In this paper, one-dimensional integrated radial-basis-function networks (1D-IRBFNs) are introduced into the Galerkin and point-collocation formulations to simulate viscoelastic flows. The computational domain is represented by a Cartesian grid and IRBFNs, which are constructed through integration, are employed on each grid line to approximate the field variables including stresses in the stream function-vorticity formulation. Two types of fluid, namely Oldroyd-B and CEF models, are considered. The proposed methods are validated through the numerical simulation of several benchmark test problems including flows in a rectangular duct and in a corrugated tube. Numerical results show that accurate results are obtained using relatively-coarse grids.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Depositing User: Dr Nam Mai-Duy
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Mechanical and Mechatronic Engineering
Date Deposited: 18 Mar 2011 04:58
Last Modified: 27 Sep 2013 01:58
Uncontrolled Keywords: viscoelastic flows; Cartesian grid; 1D integrated RBFNs; point collocation; Galerkin formulation
Fields of Research (FOR2008): 01 Mathematical Sciences > 0103 Numerical and Computational Mathematics > 010302 Numerical Solution of Differential and Integral Equations
09 Engineering > 0915 Interdisciplinary Engineering > 091508 Turbulent Flows
09 Engineering > 0913 Mechanical Engineering > 091307 Numerical Modelling and Mechanical Characterisation
Socio-Economic Objective (SEO2008): E Expanding Knowledge > 97 Expanding Knowledge > 970109 Expanding Knowledge in Engineering
E Expanding Knowledge > 97 Expanding Knowledge > 970101 Expanding Knowledge in the Mathematical Sciences
Identification Number or DOI: doi: 10.3970/cmes.2010.070.217
URI: http://eprints.usq.edu.au/id/eprint/18703

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