2019
DOI: 10.1016/j.compstruct.2019.01.108
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Peridynamic modeling of Lamb wave propagation in bimaterial plates

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Cited by 22 publications
(8 citation statements)
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References 33 publications
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“…It is a highly accurate method for flows with periodic boundary conditions, and is suitable for nonlinear problems, especially because moves the convolution products into multiplications in the spectral space. In particular, it is widely implemented in linear peridynamic problems where the computation of a convolution integral is required (see, for instance, References 17,23,[29][30][31].…”
Section: Spatial Spectral Semidiscretizationmentioning
confidence: 99%
“…It is a highly accurate method for flows with periodic boundary conditions, and is suitable for nonlinear problems, especially because moves the convolution products into multiplications in the spectral space. In particular, it is widely implemented in linear peridynamic problems where the computation of a convolution integral is required (see, for instance, References 17,23,[29][30][31].…”
Section: Spatial Spectral Semidiscretizationmentioning
confidence: 99%
“…The set of unknown coefficients is obtained by projecting the residual, Eqs. (31) or (36), on the basis functionsk [see Eq. (30)] or {Ā i } [see Eq.…”
Section: Galerkin Methodsmentioning
confidence: 99%
“…They have concluded that their proposed method can mitigate wave dispersion and it is able to reduce the oscillation of the stress intensity factor at the crack tip. Modeling of Lamb wave propagation in bimaterial plates was proposed by Alebrahim [31] who concluded that although PD produces accurate solution for the evaluation of symmetric Lamb waves, it is not able to model antisymmetric Lamb waves accurately.…”
Section: Introductionmentioning
confidence: 99%
“…25,26,28 Oftentimes, the parameters are weighted with the fraction of the bond length associated with the respective material. These approaches can further be classified into arithmetic averaging 6,[35][36][37] and harmonic averaging. 6,7,9,38 Cheng et al 26 used the proportion of the material coefficients to identify a weighting factor.…”
Section: Introductionmentioning
confidence: 99%