Name
Title | ||
|---|---|---|
Stochastic model reduction for polynomial chaos expansion of acoustic waves using proper orthogonal decomposition |
Abstract | ||
|---|---|---|
•Development of an efficient stochastic model reduction for polynomial chaos expansion solving acoustic waves.•Modeling of stochastic Helmholtz equations for plane waves subject to uncertain wavenumbers.•Implementation of an accurate proper orthogonal decomposition for uncertainty qualification in acoustic waves.•Sensitivity analysis of the finite element solution of surrogate models in computational acoustics.•Numerical simulation of stochastic problems for both plane wave propagation and plane wave scattering. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.ress.2019.106733 | Reliability Engineering & System Safety |
Keywords | Field | DocType |
Proper orthogonal decomposition,Polynomial chaos expansion,Uncertainty quantification,Stochastic helmholtz equation,Acoustic waves | Applied mathematics,Uncertainty quantification,Wavenumber,Finite element method,Polynomial chaos,Helmholtz equation,Stochastic modelling,Engineering,Solver,Acoustic wave,Reliability engineering | Journal |
Volume | ISSN | Citations |
195 | 0951-8320 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nabil El Moçayd | 1 | 0 | 1.35 |
| M. Shadi Mohamed | 2 | 6 | 3.21 |
| Driss Ouazar | 3 | 0 | 0.34 |
| Mohammed Seaïd | 4 | 54 | 16.35 |