发表状态 | 已发表Published |
题名 | Adaptive order WENO Reconstructions for the semi-lagrangian finite difference scheme for advection problem |
作者 | |
发表日期 | 2021 |
发表期刊 | Communications in Computational Physics
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ISSN/eISSN | 1815-2406 |
卷号 | 30期号:1页码:67-96 |
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. |
关键词 | Finite difference Incompressible euler Mass conservation Semi-Lagrangian Vlasov-Poisson Weighted essentially nonoscillatory WENO adaptive order reconstruction |
DOI | 10.4208/CICP.OA-2020-0073 |
URL | 查看来源 |
收录类别 | SCIE |
语种 | 英语English |
WOS研究方向 | Physics |
WOS类目 | Physics, Mathematical |
WOS记录号 | WOS:000651618800003 |
Scopus入藏号 | 2-s2.0-85106352570 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | https://repository.uic.edu.cn/handle/39GCC9TT/8986 |
专题 | 个人在本单位外知识产出 |
通讯作者 | Qiu, Jing-Mei |
作者单位 | 1.Department of Mathematical Sciences,University of Delaware,Newark,19717,United States 2.School of Mathematical Sciences,Fujian Provincial Key Laboratory of Mathematical Modeling and High-Performance Scientific Computing,Xiamen University,Xiamen, Fujian,361005,China |
推荐引用方式 GB/T 7714 | Chen, Jiajie,Cai, Xiaofeng,Qiu, Jianxianet al. Adaptive order WENO Reconstructions for the semi-lagrangian finite difference scheme for advection problem[J]. Communications in Computational Physics, 2021, 30(1): 67-96. |
APA | Chen, Jiajie, Cai, Xiaofeng, Qiu, Jianxian, & Qiu, Jing-Mei. (2021). Adaptive order WENO Reconstructions for the semi-lagrangian finite difference scheme for advection problem. Communications in Computational Physics, 30(1), 67-96. |
MLA | Chen, Jiajie,et al."Adaptive order WENO Reconstructions for the semi-lagrangian finite difference scheme for advection problem". Communications in Computational Physics 30.1(2021): 67-96. |
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