Meshfree algorithms based on radial basis functions for numerical simulation and to capture shocks behavior of Burgers' type problems. Issue 4 (5th June 2019)

• Record Type: Journal Article
• Authors: Jiwari, Ram; Kumar, Sanjay; Mittal, R.C.
• Is Part Of: Engineering computations. Volume 36:Issue 4(2019)
• Page Start: 1142
• Page End: 1168
• Publication Date: 2019-06-05
• Subjects: Burgers' problems -- Differential quadrature technique -- Eigen value method -- Global and local radial basis functions -- Burgers' problems and stability; Computer-aided engineering -- Periodicals; Computer graphics -- Periodicals; 620.00285
• DOI: 10.1108/EC-04-2018-0189
• Languages: English
• ISSNs: 0264-4401

Abstract

Abstract : Purpose: The purpose of this paper is to develop two meshfree algorithms based on multiquadric radial basis functions (RBFs) and differential quadrature (DQ) technique for numerical simulation and to capture the shocks behavior of Burgers' type problems. Design/methodology/approach: The algorithms convert the problems into a system of ordinary differential equations which are solved by the Runge–Kutta method. Findings: Two meshfree algorithms are developed and their stability is discussed. Numerical experiment is done to check the efficiency of the algorithms, and some shock behaviors of the problems are presented. The proposed algorithms are found to be accurate, simple and fast. Originality/value: The present algorithms LRBF-DQM and GRBF-DQM are based on radial basis functions, which are new for Burgers' type problems. It is concluded from the numerical experiments that LRBF-DQM is better than GRBF-DQM. The algorithms give better results than available literature.