Moving least squares particle hydrodynamics method for Burgers’ equation

Fangyan Fu, Jiao Li, Jun Lin, Yanjin Guan, Fuzheng Gao, Cunsheng Zhang and Liang Chen

Applied Mathematics and Computation, 2019, vol. 356, issue C, 362-378

Abstract: In this paper, a meshless method named Moving Least Squares Particle Hydrodynamics (MLSPH) method is applied to obtain numerical solutions of the Burgers’ equation with a set of initial and boundary conditions. The influence of kernel function and smoothing length on the accuracy of MLSPH method is investigated. Several various forms of one- and two- dimensional Burgers’ equations are successfully calculated. It is concluded that the proposed method can obtain second-order accuracy. The way of non-uniform distribution is applied to present the desired performance near the shocks. The numerical results obtained by the proposed method are compared with the analytical solutions and the results obtained by some other methods. The satisfactorily small errors indicate the high precision of the proposed method to solve this kind of partial differential equation.

Keywords: Meshless; Moving least squares particle hydrodynamics; Burgers’ equation; Kernel function; Smoothing length (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:356:y:2019:i:c:p:362-378

DOI: 10.1016/j.amc.2019.03.040

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