Abstract
The use of multiresolution techniques and wavelets has become increasingly popular in the development of numerical schemes for the solution of partial differential equations (PDEs) in the last three decades. Therefore, the use of wavelets scale functions as a basis in computational analysis holds some promise due to their compact support, orthogonality, localization and multiresolution properties. The present work discusses an alternative to the usual finite difference (FDM) approach to the acoustic wave equation modeling by using a space discretization scheme based on the Galerkin Method. The combination of this method with wavelet analysis using scale functions results in the Wavelet Galerkin Method (WGM) which has been adapted for the direct solution of the wave differential equation in a meshless formulation. This paper presents an extension of previous works which dealt with linear elasticity problems. This work also introduces Deslauriers-Dubuc scaling functions (also known as Interpolets) as interpolating functions in a Galerkin approach considering wave propagation problems. Examples in 1-D were formulated using a central difference (second order) scheme for time differentiation. Encouraging results were obtained when compared with the FDM using the same time steps. The main improvement in the presented formulation was the recognition of a different dispersion pattern when comparing FDM and WGM results using the same space and time grid.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
K.R. Kelly, R.W. Ward, S. Treitel, R.M. Alford, Synthetic seismograms: a finite-difference approach. Geophysics 41, 2–27 (1976)
S. Qian, J. Weiss, Wavelets and the numerical solution of partial differential equations. J. Comput. Phys. 106, 155–175 (1992)
X. Chen, S. Yang, J. Ma, Z. He, The construction of wavelet finite element and its application. Finite Elem. Anal. Des. 40, 541–554 (2004)
G. Deslauriers, S. Dubuc, Symmetric iterative interpolation processes. Constr. Approx. 5, 49–68 (1989)
I. Daubechies, Orthonormal bases of compactly supported wavelets. Commun Pure Appl Math 41, 909–996 (1988)
R.B. Burgos, M.A. Cetale Santos, R.R. Silva, Analysis of beams and thin plates using the Wavelet-Galerkin method. Int J Eng Technol 7, 261–266 (2015)
A.J.M. Ferreira, L.M. Castro, S. Bertoluzza, Analysis of plates on Winkler foundation by wavelet collocation. Meccanica 46(4), 865–873 (2011)
Z. Shi, D.J. Kouri, G.W. Wei, D.K. Hoffman, Generalized symmetric interpolating wavelets. Comput. Phys. Commun. 119, 194–218 (1999)
X. Du, J.C. Bancroft, in Proceedings of the SEG Int’l Exposition and 74th Annual Meeting, 2-D Wave Equation Modeling and Migration By a New Finite Difference Scheme Based on the Galerkin Method, (Denver, USA, 2004)
X. Zhou, W. Zhang, The evaluation of connection coefficients on an interval. Commun Nonlinear Sci Numer Simul 3, 252–255 (1998)
R.B. Burgos, M.A. Cetale Santos, R.R. Silva, Deslauriers-Dubuc interpolating wavelet beam finite element. Finite Elem. Anal. Des. 75, 71–77 (2013)
V.P. Nguyen, T. Rabczuk, S. Bordas, M. Duflot, Meshless methods: a review and computer implementation aspects. Math. Comput. Simul. 79, 763–813 (2008)
Acknowledgments
Authors would like to thank CNPq, PETROBRAS and FAPERJ for their financial support.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Burgos, R.B., Cetale Santos, M.A., e Silva, R.R. (2017). Solution of Wave Equation in Rods Using the Wavelet-Galerkin Method for Space Discretization. In: Bittencourt, M., Dumont, N., Hesthaven, J. (eds) Spectral and High Order Methods for Partial Differential Equations ICOSAHOM 2016. Lecture Notes in Computational Science and Engineering, vol 119. Springer, Cham. https://doi.org/10.1007/978-3-319-65870-4_28
Download citation
DOI: https://doi.org/10.1007/978-3-319-65870-4_28
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-65869-8
Online ISBN: 978-3-319-65870-4
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)