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• W2957682458 abstract "The aim of this paper is to accurately solve short wave scattering problems governed by the Helmholtz equation using the Bernstein–Bézier Finite Element method (BBFEM), combined with a conformal perfectly matched layer (PML). Enhanced PMLs, where curved geometries are represented by means of the blending map method of Gordon and Hall, are numerically investigated. In particular, the performance of radial and elliptical shaped PMLs, with a parabolic absorption function, are assessed and compared in terms of accuracy against second order Bayliss–Gunzberger–Turkel (BGT2) based local absorbing boundary conditions. Numerical results dealing with problems of Hankel source radiation and wave scattering by a rigid cylinder show that the radial shaped PML, with the h and p versions of BBFEM, enables the recovery of the predicted algebraic and exponential convergence rates of a high order finite element method (FEM). Furthermore, radial shaped BGT2 and PML have a similar performance, as long as the wave is not sufficiently well resolved. But, BGT2 performs poorly as the wave resolution increases. Additionally, the effect of harmonics of higher modes on accuracy is examined. The study reveals that the PML outperforms BGT2 for almost all propagating modes. However, a similar performance is achieved with both methods either with higher modes or a low wave resolution. Results from a multiple scattering benchmark problem provide evidence of the good performance of the proposed PMLs and the benefit of elliptical shaped PMLs in reducing significantly the size of the computational domain, without altering accuracy. The choice of the PML parameters ensuring optimal performance is also discussed." @default.
• W2957682458 created "2019-07-23" @default.
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• W2957682458 date "2019-10-01" @default.
• W2957682458 modified "2023-10-16" @default.
• W2957682458 title "Enhanced conformal perfectly matched layers for Bernstein–Bézier finite element modelling of short wave scattering" @default.
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• W2957682458 doi "https://doi.org/10.1016/j.cma.2019.06.032" @default.
• W2957682458 hasPublicationYear "2019" @default.
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