2012
DOI: 10.1080/14786435.2012.685965
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A 2D wavelet-based spectral finite element method for elastic wave propagation

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Cited by 9 publications
(5 citation statements)
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References 25 publications
(65 reference statements)
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“…Applications to linear wave propagation in composite and nano-composite structures were reported in [22]. An adaptation of the wavelet transformation technique in WSFEM with SEM spatial interpolation was also applied to 2D and 3D linear elastic waves [23,24]. Similar to SFEM, WSFEM cannot be directly applied to study nonlinear systems.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Applications to linear wave propagation in composite and nano-composite structures were reported in [22]. An adaptation of the wavelet transformation technique in WSFEM with SEM spatial interpolation was also applied to 2D and 3D linear elastic waves [23,24]. Similar to SFEM, WSFEM cannot be directly applied to study nonlinear systems.…”
Section: Methodsmentioning
confidence: 99%
“…(12). In [23,24], SEM is chosen to solve general linear 2D and 3D problems in the wavelet-domain. In this study, the research focus is to develop a numerical technique for structures that can be modeled with rod, beam, and plate elements, like the applications mentioned in the introduction section.…”
Section: Spectral Finite Element Methods Formulationmentioning
confidence: 99%
“…The dynamic analysis of composite structures under the blast wave pressure loading investigated by Park et al 9 In a domain composed of two homogeneous elastic solids in perfect contact, Tadi 10 investigated the 2D elastic wave propagation using the finite volume method. In a 2D structure, Pahlavan et al 11 presented a wavelet-based spectral finite element method to analyze the elastic wave propagation. They obtained governing equations by a temporal transformation, then, the equations are transferred to the wavelet domain using a wavelet-Galerkin approach, and in the wavelet domain, the spatial discretization with the finite element method is performed.…”
Section: Introductionmentioning
confidence: 99%
“…The two works of (Pahlavan et al, 2012(Pahlavan et al, , 2013 describe the development of a 2-D and a 3-D TDSFE, respectively, differentiating from previous works in the temporal discretization in the wavelet domain. The authors use the compactly-supported Daubechie wavelet family, in order to decouple a set of multiple coupled temporal equations which subsequently can be solved in parallel.…”
Section: Methodsmentioning
confidence: 99%