Jia Guo, Lingyan Tang, Songhe Song, Huajun Zhu, Zhen-Guo Yan
{"title":"一种高效的混合WCNS-CPR休克捕获算法","authors":"Jia Guo, Lingyan Tang, Songhe Song, Huajun Zhu, Zhen-Guo Yan","doi":"10.1109/CCET50901.2020.9213085","DOIUrl":null,"url":null,"abstract":"An efficient hybrid shock-capturing algorithm based on WCNS (Weighted compact nonlinear scheme) and CPR (Correction procedure via reconstruction) is proposed. TVB (Total Variation Bounded) shock detection indicator is used to identify cells with shocks. Then WCNS is used to capture shocks in these cells, while other cells are calculated by CPR. A strategy of algorithm switching is developed. Numerical experiments are simulated to test accuracy, shock-capturing ability and computational efficiency. The results show that this hybrid algorithm achieves expected high-order accuracy and high resolution and has less computational cost compared to WCNS.","PeriodicalId":236862,"journal":{"name":"2020 IEEE 3rd International Conference on Computer and Communication Engineering Technology (CCET)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Efficient Hybrid WCNS-CPR Algorithm in Shock Capturing\",\"authors\":\"Jia Guo, Lingyan Tang, Songhe Song, Huajun Zhu, Zhen-Guo Yan\",\"doi\":\"10.1109/CCET50901.2020.9213085\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An efficient hybrid shock-capturing algorithm based on WCNS (Weighted compact nonlinear scheme) and CPR (Correction procedure via reconstruction) is proposed. TVB (Total Variation Bounded) shock detection indicator is used to identify cells with shocks. Then WCNS is used to capture shocks in these cells, while other cells are calculated by CPR. A strategy of algorithm switching is developed. Numerical experiments are simulated to test accuracy, shock-capturing ability and computational efficiency. The results show that this hybrid algorithm achieves expected high-order accuracy and high resolution and has less computational cost compared to WCNS.\",\"PeriodicalId\":236862,\"journal\":{\"name\":\"2020 IEEE 3rd International Conference on Computer and Communication Engineering Technology (CCET)\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE 3rd International Conference on Computer and Communication Engineering Technology (CCET)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCET50901.2020.9213085\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 3rd International Conference on Computer and Communication Engineering Technology (CCET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCET50901.2020.9213085","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Efficient Hybrid WCNS-CPR Algorithm in Shock Capturing
An efficient hybrid shock-capturing algorithm based on WCNS (Weighted compact nonlinear scheme) and CPR (Correction procedure via reconstruction) is proposed. TVB (Total Variation Bounded) shock detection indicator is used to identify cells with shocks. Then WCNS is used to capture shocks in these cells, while other cells are calculated by CPR. A strategy of algorithm switching is developed. Numerical experiments are simulated to test accuracy, shock-capturing ability and computational efficiency. The results show that this hybrid algorithm achieves expected high-order accuracy and high resolution and has less computational cost compared to WCNS.