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A New Implementation of the Meshless Finite Volume Method, Through the MLPG "Mixed'' Approach

S. N. Atluri1, Z. D. Han1, A. M. Rajendran2
University of California, Irvine Center for Aerospace Research & Education, 5251 California Avenue, Suite 140, Irvine, CA, 92612, USA
Army Research Office, RTP, NC

Computer Modeling in Engineering & Sciences 2004, 6(6), 491-514. https://doi.org/10.3970/cmes.2004.006.491

Abstract

The Meshless Finite Volume Method (MFVM) is developed for solving elasto-static problems, through a new Meshless Local Petrov-Galerkin (MLPG) ``Mixed'' approach. In this MLPG mixed approach, both the strains as well as displacements are interpolated, at randomly distributed points in the domain, through local meshless interpolation schemes such as the moving least squares(MLS) or radial basis functions(RBF). The nodal values of strains are expressed in terms of the independently interpolated nodal values of displacements, by simply enforcing the strain-displacement relationships directly by collocation at the nodal points. The MLPG local weak form is then written for the equilibrium equations over the local sub-domains, by using the nodal strains as the independent variables. By taking the Heaviside function as the test function, the local domain integration is avoided; this leads to a Meshless Finite Volume Method, which is a counterpart to the mesh-based finite volume method that is popular in computational fluid dynamics. The present approach eliminates the expensive process of directly differentiating the MLS interpolations for displacements in the entire domain, to find the strains, especially in 3D cases. Numerical examples are included to demonstrate the advantages of the present methods: (i) lower-order polynomial basis can be used in the MLS interpolations; (ii) smaller support sizes can be used in the MLPG approach; and (iii) higher accuracies and computational efficiencies are obtained.

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Atluri, S. N., Han, Z. D., Rajendran, A. M. (2004). A New Implementation of the Meshless Finite Volume Method, Through the MLPG "Mixed'' Approach. CMES-Computer Modeling in Engineering & Sciences, 6(6), 491–514.



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