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Meshfree algorithms for analysis and computational modeling of multidimensional hyperbolic wave models

Sapna Pandit (School of Mathematics, Thapar Institute of Engineering and Technology (Deemed to be University), Patiala, India)
Pooja Verma (Baba Mastnath University, Rohtak, India)
Manoj Kumar (Baba Mastnath University, Rohtak, India)
Poonam (Govt College for Women, Jhajjar, India)

Engineering Computations

ISSN: 0264-4401

Article publication date: 20 October 2023

Issue publication date: 5 December 2023

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Abstract

Purpose

This article offered two meshfree algorithms, namely the local radial basis functions-finite difference (LRBF-FD) approximation and local radial basis functions-differential quadrature method (LRBF-DQM) to simulate the multidimensional hyperbolic wave models and work is an extension of Jiwari (2015).

Design/methodology/approach

In the evolvement of the first algorithm, the time derivative is discretized by the forward FD scheme and the Crank-Nicolson scheme is used for the rest of the terms. After that, the LRBF-FD approximation is used for spatial discretization and quasi-linearization process for linearization of the problem. Finally, the obtained linear system is solved by the LU decomposition method. In the development of the second algorithm, semi-discretization in space is done via LRBF-DQM and then an explicit RK4 is used for fully discretization in time.

Findings

For simulation purposes, some 1D and 2D wave models are pondered to instigate the chastity and competence of the developed algorithms.

Originality/value

The developed algorithms are novel for the multidimensional hyperbolic wave models. Also, the stability analysis of the second algorithm is a new work for these types of model.

Keywords

Acknowledgements

The work is funded by Science and Engineering Research Board (SERB), India, with No: SPG/2022/000188.

Citation

Pandit, S., Verma, P., Kumar, M. and Poonam (2023), "Meshfree algorithms for analysis and computational modeling of multidimensional hyperbolic wave models", Engineering Computations, Vol. 40 No. 9/10, pp. 2594-2614. https://doi.org/10.1108/EC-02-2023-0060

Publisher

:

Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

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