Adaptive Order WENO Reconstructions for the Semi-Lagrangian Finite Difference Scheme for Advection Problem

被引:0
|
作者
Chen, Jiajie [1 ]
Cai, Xiaofeng [1 ]
Qiu, Jianxian [2 ,3 ]
Qiu, Jing-Mei [1 ]
机构
[1] Univ Delaware, Dept Math Sci, Newark, DE 19717 USA
[2] Xiamen Univ, Sch Math Sci, Xiamen 361005, Fujian, Peoples R China
[3] Xiamen Univ, Fujian Prov Key Lab Math Modeling & High Performa, Xiamen 361005, Fujian, Peoples R China
关键词
Semi-Lagrangian; weighted essentially nonoscillatory; WENO adaptive order recon-struction; finite difference; mass conservation; Vlasov-Poisson; incompressible Euler; TARGETED ENO SCHEMES; DISCONTINUOUS GALERKIN; VLASOV; INDICATOR;
D O I
10.4208/cicp.OA-2020-0073
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
We present a new conservative semi-Lagrangian finite difference weighted essentially non-oscillatory scheme with adaptive order. This is an extension of the conservative semi-Lagrangian (SL) finite difference WENO scheme in [Qiu and Shu, JCP, 230 (4) (2011), pp. 863-889], in which linear weights in SL WENO framework were shown to not exist for variable coefficient problems. Hence, the order of accuracy is not optimal from reconstruction stencils. In this paper, we incorporate a recent WENO adaptive order (AO) technique [Balsara et al., JCP, 326 (2016), pp. 780-804] to the SL WENO framework. The new scheme can achieve an optimal high order of accuracy, while maintaining the properties of mass conservation and non-oscillatory capture of solutions from the original SL WENO. The positivity-preserving limiter is further applied to ensure the positivity of solutions. Finally, the scheme is applied to high dimensional problems by a fourth-order dimensional splitting. We demonstrate the effectiveness of the new scheme by extensive numerical tests on linear advection equations, the Vlasov-Poisson system, the guiding center Vlasov model as well as the incompressible Euler equations.
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页码:67 / 96
页数:30
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