2017
DOI: 10.1016/j.enganabound.2017.03.008
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A stochastic perturbation edge-based smoothed finite element method for the analysis of uncertain structural-acoustics problems with random variables

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Cited by 27 publications
(3 citation statements)
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“…By imposing the TBC on the boundary of the truncated domain, the reflection of the wave can be avoided. The TBC has been used for solving many wave scattering problems [17][18][19][20][21][22][23][24].…”
Section: Introductionmentioning
confidence: 99%
“…By imposing the TBC on the boundary of the truncated domain, the reflection of the wave can be avoided. The TBC has been used for solving many wave scattering problems [17][18][19][20][21][22][23][24].…”
Section: Introductionmentioning
confidence: 99%
“…Here, the traditional stochastic method has been one of the most common methods to deal with uncertainty response analysis in engineering applications on the basis of probability theory. For example, a novel stochastic perturbation method is proposed for the analysis of structural-acoustic problems combined with the edge-based smoothed finite element method (Wu et al, 2017). The polynomial chaos expansion procedure based on the sparse grid collocation strategy is used to handle the random uncertainty for structural-acoustic systems with hybrid uncertainties (Xu et al, 2017).…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, CS-FEM does not require the shape function derivatives or high generosity of program and is insensitive to mesh distortion because of the absence of isoparametric mapping. CS-FEM has been successfully extended into dynamical control of piezoelectric sensors and actuators, topological optimization of linear piezoelectric micromotor, and analysis of static behaviors, frequency, and defects of piezoelectric structures [33][34][35][36][37][38][39][40][41][42][43]. Due to its versatility, CS-FEM becomes a simple and effective numerical tool to solve numerous electric and mechanical physical problems.…”
Section: Introductionmentioning
confidence: 99%