2021
DOI: 10.1016/j.wavemoti.2021.102732
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Shape optimization of acoustic devices using the Scaled Boundary Finite Element Method

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Cited by 15 publications
(5 citation statements)
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“…To ensure stability and control the variation of the solution, stabilization terms are introduced near the cut elements at the boundary. Khajah, Liu [2] propose the utilization of the Scaled Boundary Finite Element Method (SBFEM) to optimize the shape of devices involved in acoustic wave propagation. SBFEM, similar to the Boundary Element Method (BEM), only requires discretization of the boundary of the computational domain.…”
Section: Introductionmentioning
confidence: 99%
“…To ensure stability and control the variation of the solution, stabilization terms are introduced near the cut elements at the boundary. Khajah, Liu [2] propose the utilization of the Scaled Boundary Finite Element Method (SBFEM) to optimize the shape of devices involved in acoustic wave propagation. SBFEM, similar to the Boundary Element Method (BEM), only requires discretization of the boundary of the computational domain.…”
Section: Introductionmentioning
confidence: 99%
“…Recently, Song et al and collaborators proposed the polygonal SBFEM 11,28,29 and the quadtree SBFEM, [30][31][32] in which the advantages of SBFEM in building element and conventional FEM framework is combined, and a series of successfully applications were achieved. However, when SBFEM works in FEM form, the computational cost on eigenvalue solution could greatly increase as the increase of the number of elements, particularly for the nonlinear problems, [33][34][35] large-scale problems or the problem with the reconstruction of stiffness matrix, such as uncertainty analysis, 19,[36][37][38][39] optimization, [40][41][42] inverse problem solving, 21,43 the computational expense may become a bottleneck.…”
Section: Introductionmentioning
confidence: 99%
“…al. recently showed how a 2D Scaled Boundary Finite Element Method can be used to efficiently shape optimize acoustic horns, and also apply it to optimize acoustic metamaterial (Khajah et al, 2021).…”
Section: Introductionmentioning
confidence: 99%