{"title":"用内变量描述粘弹性阻尼器框架特征问题的子空间迭代法","authors":"M. Łasecka-Plura","doi":"10.21008/J.0860-6897.2020.3.13","DOIUrl":null,"url":null,"abstract":"In the paper, the subspace iteration method is used to solve quadratic eigenproblems written for structures with viscoelastic dampers. This allows a certain previously assumed number of eigenvalues and corresponding eigenvectors to be determined. A shear frame with mass lumped on the storey level with built-in dampers is considered. Dampers are modelled with the classical Zener model. Equations of motion are written in the matrix form and include the internal variables resulting from built-in dampers. The subspace iteration method starts from adopting the number of sought solution for the quadratic eigenproblem, then the starting point of the iteration is determined and the iterative procedure is initiated. In each iterative loop the reduced quadratic eigenproblem with Hermitian matrices is solved by rearranging it into a state space form.","PeriodicalId":38508,"journal":{"name":"Vibrations in Physical Systems","volume":"31 1","pages":"2020313-1-2020313-8"},"PeriodicalIF":0.0000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Subspace Iteration Method for Eigenproblems of Frames with Viscoelastic Dampers Described Using Internal Variables\",\"authors\":\"M. Łasecka-Plura\",\"doi\":\"10.21008/J.0860-6897.2020.3.13\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the paper, the subspace iteration method is used to solve quadratic eigenproblems written for structures with viscoelastic dampers. This allows a certain previously assumed number of eigenvalues and corresponding eigenvectors to be determined. A shear frame with mass lumped on the storey level with built-in dampers is considered. Dampers are modelled with the classical Zener model. Equations of motion are written in the matrix form and include the internal variables resulting from built-in dampers. The subspace iteration method starts from adopting the number of sought solution for the quadratic eigenproblem, then the starting point of the iteration is determined and the iterative procedure is initiated. In each iterative loop the reduced quadratic eigenproblem with Hermitian matrices is solved by rearranging it into a state space form.\",\"PeriodicalId\":38508,\"journal\":{\"name\":\"Vibrations in Physical Systems\",\"volume\":\"31 1\",\"pages\":\"2020313-1-2020313-8\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Vibrations in Physical Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21008/J.0860-6897.2020.3.13\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Vibrations in Physical Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21008/J.0860-6897.2020.3.13","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Engineering","Score":null,"Total":0}
The Subspace Iteration Method for Eigenproblems of Frames with Viscoelastic Dampers Described Using Internal Variables
In the paper, the subspace iteration method is used to solve quadratic eigenproblems written for structures with viscoelastic dampers. This allows a certain previously assumed number of eigenvalues and corresponding eigenvectors to be determined. A shear frame with mass lumped on the storey level with built-in dampers is considered. Dampers are modelled with the classical Zener model. Equations of motion are written in the matrix form and include the internal variables resulting from built-in dampers. The subspace iteration method starts from adopting the number of sought solution for the quadratic eigenproblem, then the starting point of the iteration is determined and the iterative procedure is initiated. In each iterative loop the reduced quadratic eigenproblem with Hermitian matrices is solved by rearranging it into a state space form.