2013
DOI: 10.1016/j.compstruct.2012.10.039
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Numerical simulation of Lamb wave propagation in metallic foam sandwich structures: a parametric study

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Cited by 28 publications
(15 citation statements)
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“…where a(t) is the normalized acceleration [23]. e A0 and S0 wave modes are the dominant ones in the propagating wave; therefore, the calculated energy corresponds mostly to the energy of these two wave modes at one measurement node.…”
Section: Gw Energy Transfermentioning
confidence: 99%
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“…where a(t) is the normalized acceleration [23]. e A0 and S0 wave modes are the dominant ones in the propagating wave; therefore, the calculated energy corresponds mostly to the energy of these two wave modes at one measurement node.…”
Section: Gw Energy Transfermentioning
confidence: 99%
“…Modelling the foam or honeycomb core layer using solid elements requires homogenization assumptions. Studies show that assuming a homogeneous isotropic material for the foam or honeycomb core leads to reasonable accuracy for the fundamental wave modes in the low range of frequencies [10,23]. e simulations are mostly performed using explicit dynamic procedures, and Abaqus is the commercial code which has been widely used for these types of studies [5,6,8,13,20].…”
Section: Introductionmentioning
confidence: 99%
“…[9][10][11][12] There have been many studies carried out related to UGW methods showing their advantages over other NDT techniques. [13][14][15][16][17] However, in the case when the internal structure of the multilayered material is not uniform nor known, the excitation and interpretation of the UGW signals received become very complicated and very sensitive to the adjustment of operating parameters of the experimental set-up (type of the excited modes of UGW, operation frequency etc.). 5,18,19 And,¯rst of all, before using the UGW for defect detection, the knowledge about the UGW propagation e®ects in a selected structure is required.…”
Section: Introductionmentioning
confidence: 99%
“…It was shown in [ 35 ] that morphological features of those models such as the number of faces by cell and edges by cell face significantly diverge from real foams, which lead to another 11-faced polyhedral model to be proposed. Next to those polyhedral cell models, some simple geometries based on regular bars or plates assemblies were also used [ 29,21,18 ]. Within such models, plate thickness or lattice node positions can be randomized to account for the natural variability of the material.…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, general conclusions which ideally should require broader parametric studies are difficult to reach. Another class of models that may bring valuable insight on this aspect makes use of idealized microstructure geometry descriptions to explore and understand elementary mechanisms related with the particular morphology of the material [16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32]. In spite of the fact that such models cannot fully resemble scanned data, they provide the opportunity to single out the influence of specific morphological parameters of the material for various physical phenomena.…”
Section: Introductionmentioning
confidence: 99%