Stabilizing Discontinuous Galerkin Methods Using Dafermos’ Entropy Rate Criterion: II—Systems of Conservation Laws and Entropy Inequality Predictors

IF 3.3 2区 数学 Q1 MATHEMATICS, APPLIED Journal of Scientific Computing Pub Date : 2024-06-24 DOI:10.1007/s10915-024-02595-1
Simon-Christian Klein
{"title":"Stabilizing Discontinuous Galerkin Methods Using Dafermos’ Entropy Rate Criterion: II—Systems of Conservation Laws and Entropy Inequality Predictors","authors":"Simon-Christian Klein","doi":"10.1007/s10915-024-02595-1","DOIUrl":null,"url":null,"abstract":"<p>A novel approach for the stabilization of the Discontinuous Galerkin method based on the Dafermos entropy rate crition is presented. First, estimates for the maximal possible entropy dissipation rate of a weak solution are derived. Second, families of conservative Hilbert–Schmidt operators are identified to dissipate entropy. Steering these operators using the bounds on the entropy dissipation results in high-order accurate shock-capturing DG schemes for the one-dimensional Euler equations, satisfying the entropy rate criterion and an entropy inequality. Other testcases include the one-dimensional Buckley–Leverett equation.</p>","PeriodicalId":50055,"journal":{"name":"Journal of Scientific Computing","volume":"183 1","pages":""},"PeriodicalIF":3.3000,"publicationDate":"2024-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Scientific Computing","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1007/s10915-024-02595-1","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
引用次数: 0

Abstract

A novel approach for the stabilization of the Discontinuous Galerkin method based on the Dafermos entropy rate crition is presented. First, estimates for the maximal possible entropy dissipation rate of a weak solution are derived. Second, families of conservative Hilbert–Schmidt operators are identified to dissipate entropy. Steering these operators using the bounds on the entropy dissipation results in high-order accurate shock-capturing DG schemes for the one-dimensional Euler equations, satisfying the entropy rate criterion and an entropy inequality. Other testcases include the one-dimensional Buckley–Leverett equation.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
使用 Dafermos 的熵率标准稳定非连续 Galerkin 方法:II-守恒定律系统和熵不等式预测器
本文提出了一种基于 Dafermos 熵率判据的非连续伽勒金方法稳定化的新方法。首先,推导出弱解的最大可能熵耗散率估计值。其次,确定了能耗散熵的保守希尔伯特-施密特算子系列。利用熵耗散的边界来引导这些算子,结果是一维欧拉方程的高阶精确冲击捕捉 DG 方案,满足熵率准则和熵不等式。其他测试案例包括一维巴克利-勒维特方程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Journal of Scientific Computing
Journal of Scientific Computing 数学-应用数学
CiteScore
4.00
自引率
12.00%
发文量
302
审稿时长
4-8 weeks
期刊介绍: Journal of Scientific Computing is an international interdisciplinary forum for the publication of papers on state-of-the-art developments in scientific computing and its applications in science and engineering. The journal publishes high-quality, peer-reviewed original papers, review papers and short communications on scientific computing.
期刊最新文献
Stochastic Conformal Integrators for Linearly Damped Stochastic Poisson Systems. Inf-sup stable space-time Local Discontinuous Galerkin method for the heat equation. Fast Numerical Solvers for Parameter Identification Problems in Mathematical Biology. Automatic Differentiation is Essential in Training Neural Networks for Solving Differential Equations. Homotopy Relaxation Training Algorithms for Infinite-Width Two-Layer ReLU Neural Networks.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1