Tao Xu, H. Kai, Fei Cheng, Guikai Guo, Tatsuo Yoshino
{"title":"一种附加自由度拓扑修改的静态再分析新方法","authors":"Tao Xu, H. Kai, Fei Cheng, Guikai Guo, Tatsuo Yoshino","doi":"10.1109/CSO.2010.101","DOIUrl":null,"url":null,"abstract":"A new method for structural static reanalysis of topological modifications with Added Degrees of Freedom is presented. The proposed procedure is easy to implement and suit for the case of modifications with the number of DOFs is increased. According to the analysis result of original system, the suitable preconditioner is selected and the response of modified structure is gained by Lanczos algorithm. Both the present method and the Lanczos algorithm without preconditioning are applied to numerical example, respectively. The Convergence of the two methods are compared. The computational cost is significantly reduced by the proposed method. The numerical results show the exactitude and effectiveness of the reanalysis algorithm.","PeriodicalId":427481,"journal":{"name":"2010 Third International Joint Conference on Computational Science and Optimization","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A New Static Reanalysis Method of Topological Modifications with Added Degrees of Freedom\",\"authors\":\"Tao Xu, H. Kai, Fei Cheng, Guikai Guo, Tatsuo Yoshino\",\"doi\":\"10.1109/CSO.2010.101\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A new method for structural static reanalysis of topological modifications with Added Degrees of Freedom is presented. The proposed procedure is easy to implement and suit for the case of modifications with the number of DOFs is increased. According to the analysis result of original system, the suitable preconditioner is selected and the response of modified structure is gained by Lanczos algorithm. Both the present method and the Lanczos algorithm without preconditioning are applied to numerical example, respectively. The Convergence of the two methods are compared. The computational cost is significantly reduced by the proposed method. The numerical results show the exactitude and effectiveness of the reanalysis algorithm.\",\"PeriodicalId\":427481,\"journal\":{\"name\":\"2010 Third International Joint Conference on Computational Science and Optimization\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-05-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 Third International Joint Conference on Computational Science and Optimization\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSO.2010.101\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Third International Joint Conference on Computational Science and Optimization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSO.2010.101","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A New Static Reanalysis Method of Topological Modifications with Added Degrees of Freedom
A new method for structural static reanalysis of topological modifications with Added Degrees of Freedom is presented. The proposed procedure is easy to implement and suit for the case of modifications with the number of DOFs is increased. According to the analysis result of original system, the suitable preconditioner is selected and the response of modified structure is gained by Lanczos algorithm. Both the present method and the Lanczos algorithm without preconditioning are applied to numerical example, respectively. The Convergence of the two methods are compared. The computational cost is significantly reduced by the proposed method. The numerical results show the exactitude and effectiveness of the reanalysis algorithm.
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