{"title":"An adaptive mesh refinement method based on a characteristic‐compression embedded shock wave indicator for high‐speed flows","authors":"Yiwei Feng, Lili Lv, Tiegang Liu, Liang Xu, Weixiong Yuan","doi":"10.1002/num.23095","DOIUrl":null,"url":null,"abstract":"Numerical simulation of high‐speed flows often needs a fine grid for capturing detailed structures of shock or contact wave, which makes high‐order discontinuous Galerkin methods (DGMs) extremely costly. In this work, a characteristic‐compression based adaptive mesh refinement (AMR, h‐adaptive) method is proposed for efficiently improving resolution of the high‐speed flows. In order to allocate computational resources to needed regions, a characteristic‐compression embedded shock wave indicator is developed on incompatible grids and employed as the criterion for AMR. This indicator applies the admissible jumps of eigenvalues to measure the local compression of homogeneous characteristic curves, and theoretically can capture regions of characteristic‐compression which contain structures of shock, contact waves and vortices. Numerical results show that the proposed h‐adaptive DGM is robust, efficient and high‐resolution, it can capture dissipative shock, contact waves of different strengths and vortices with low noise on a rather coarse grid, and can significantly improve resolution of these structures through mild increase of computational resources as compared with the residual‐based h‐adaptive method.","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2024-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1002/num.23095","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
引用次数: 0
Abstract
Numerical simulation of high‐speed flows often needs a fine grid for capturing detailed structures of shock or contact wave, which makes high‐order discontinuous Galerkin methods (DGMs) extremely costly. In this work, a characteristic‐compression based adaptive mesh refinement (AMR, h‐adaptive) method is proposed for efficiently improving resolution of the high‐speed flows. In order to allocate computational resources to needed regions, a characteristic‐compression embedded shock wave indicator is developed on incompatible grids and employed as the criterion for AMR. This indicator applies the admissible jumps of eigenvalues to measure the local compression of homogeneous characteristic curves, and theoretically can capture regions of characteristic‐compression which contain structures of shock, contact waves and vortices. Numerical results show that the proposed h‐adaptive DGM is robust, efficient and high‐resolution, it can capture dissipative shock, contact waves of different strengths and vortices with low noise on a rather coarse grid, and can significantly improve resolution of these structures through mild increase of computational resources as compared with the residual‐based h‐adaptive method.
高速流动的数值模拟通常需要精细网格来捕捉冲击波或接触波的细节结构,这使得高阶非连续伽勒金方法(DGM)的成本极高。本研究提出了一种基于特征压缩的自适应网格细化(AMR,h-adaptive)方法,以有效提高高速流动的分辨率。为了将计算资源分配到需要的区域,在不兼容网格上开发了一种嵌入式特征压缩冲击波指标,并将其作为 AMR 的标准。该指标利用特征值的可容许跃迁来测量均质特征曲线的局部压缩,理论上可以捕捉到包含冲击波、接触波和涡流结构的特征压缩区域。数值结果表明,与基于残差的 h 自适应方法相比,所提出的 h 自适应 DGM 具有鲁棒性、高效性和高分辨率的特点,它可以在相当粗的网格上捕获耗散冲击、不同强度的接触波和低噪声的涡流,并能通过轻微增加计算资源显著提高这些结构的分辨率。