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Enhanced conformal perfectly matched layers for Bernstein-Bezier finite element modelling of short wave scattering.

El-Kacimi, A. and Laghrouche, O. and Ouazar, D. and Mohamed, M.S. and Seaid, M. and Trevelyan, J. (2019) 'Enhanced conformal perfectly matched layers for Bernstein-Bezier finite element modelling of short wave scattering.', Computer methods in applied mechanics and engineering., 355 . pp. 614-638.


The aim of this paper is to accurately solve short wave scattering problems governed by the Helmholtz equation using the Bernstein-Bezier 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-Gunzburge-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 nite element method (FEM). Furthermore, radial shaped BGT2 and PML have a similar performance, as long as the wave is not suciently well resolved. But, BGT2 performs poorly as the wave resolution increases. Additionally, the eect 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 benet of elliptical shaped PMLs in reducing signi cantly the size of the computational domain, without altering accuracy. The choice of the PML parameters ensuring optimal performance is also discussed.

Item Type:Article
Full text:(AM) Accepted Manuscript
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Publisher statement:© 2019 This manuscript version is made available under the CC-BY-NC-ND 4.0 license
Date accepted:20 June 2019
Date deposited:26 June 2019
Date of first online publication:08 July 2019
Date first made open access:08 July 2020

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