On the computational efficiency of the error estimator for Guyan reduction
An improved error estimator for Guyan reduction is presented for efficient calculation of the relative eigenvalue error. In this work, the original error estimator is simply redefined in the level of the component matrix by neglecting its component matrices that do not affect the performance of esti...
Gespeichert in:
Veröffentlicht in: | Computer methods in applied mechanics and engineering 2016-06, Vol.305, p.759-776 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 776 |
---|---|
container_issue | |
container_start_page | 759 |
container_title | Computer methods in applied mechanics and engineering |
container_volume | 305 |
creator | Kim, Jin-Gyun Boo, Seung-Hwan Lee, Chang-Ock Lee, Phill-Seung |
description | An improved error estimator for Guyan reduction is presented for efficient calculation of the relative eigenvalue error. In this work, the original error estimator is simply redefined in the level of the component matrix by neglecting its component matrices that do not affect the performance of estimation. Consequently, a new simple formulation of the error estimator is developed. Compared with the original formulation, it leads to better computational efficiency without significant loss of the estimating accuracy. The performance of the present error estimator is demonstrated theoretically and numerically. |
doi_str_mv | 10.1016/j.cma.2016.03.030 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1816086212</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0045782516301153</els_id><sourcerecordid>1816086212</sourcerecordid><originalsourceid>FETCH-LOGICAL-c330t-601c973b7bea5c187b8f26a7f31dc3fd086f2d3d36f6e814eaf1be92288303963</originalsourceid><addsrcrecordid>eNp9UE1PwzAMjRBIjI8fwK1HLi1xsqWpOKEJBmjSLnCO0tQRmdpmJCnS_j3ZxhnLli3Z78nvEXIHtAIK4mFbmUFXLI8V5TnpGZmBrJuSAZfnZEbpfFHWki0uyVWMW5pDApuR981YpC8sjB92U9LJ-VH3BVrrjMPR7Atvj3sMwYcCY3KDTnmyuVbTXo9FwG4yB9wNubC6j3j716_J58vzx_K1XG9Wb8undWk4p6kUFExT87ZuUS9M_rGVlgldWw6d4bajUljW8Y4LK1DCHLWFFhvGpOSUN4Jfk_sT7y747ym_pAYXDfa9HtFPUYEEkUkYsHwKp1MTfIwBrdqFLCDsFVB18E1tVfZNHXxTlOekGfN4wmDW8OMwqHi0AjsX0CTVefcP-hekpHWv</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1816086212</pqid></control><display><type>article</type><title>On the computational efficiency of the error estimator for Guyan reduction</title><source>Elsevier ScienceDirect Journals</source><creator>Kim, Jin-Gyun ; Boo, Seung-Hwan ; Lee, Chang-Ock ; Lee, Phill-Seung</creator><creatorcontrib>Kim, Jin-Gyun ; Boo, Seung-Hwan ; Lee, Chang-Ock ; Lee, Phill-Seung</creatorcontrib><description>An improved error estimator for Guyan reduction is presented for efficient calculation of the relative eigenvalue error. In this work, the original error estimator is simply redefined in the level of the component matrix by neglecting its component matrices that do not affect the performance of estimation. Consequently, a new simple formulation of the error estimator is developed. Compared with the original formulation, it leads to better computational efficiency without significant loss of the estimating accuracy. The performance of the present error estimator is demonstrated theoretically and numerically.</description><identifier>ISSN: 0045-7825</identifier><identifier>EISSN: 1879-2138</identifier><identifier>DOI: 10.1016/j.cma.2016.03.030</identifier><language>eng</language><publisher>Elsevier B.V</publisher><subject>Computational efficiency ; Computer simulation ; Eigenvalue problem ; Eigenvalues ; Error estimation ; Errors ; Estimators ; Finite element method ; Guyan reduction ; Mathematical analysis ; Mathematical models ; Reduced order modeling ; Reduction ; Structural dynamics</subject><ispartof>Computer methods in applied mechanics and engineering, 2016-06, Vol.305, p.759-776</ispartof><rights>2016 Elsevier B.V.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c330t-601c973b7bea5c187b8f26a7f31dc3fd086f2d3d36f6e814eaf1be92288303963</citedby><cites>FETCH-LOGICAL-c330t-601c973b7bea5c187b8f26a7f31dc3fd086f2d3d36f6e814eaf1be92288303963</cites><orcidid>0000-0002-2146-7609</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0045782516301153$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids></links><search><creatorcontrib>Kim, Jin-Gyun</creatorcontrib><creatorcontrib>Boo, Seung-Hwan</creatorcontrib><creatorcontrib>Lee, Chang-Ock</creatorcontrib><creatorcontrib>Lee, Phill-Seung</creatorcontrib><title>On the computational efficiency of the error estimator for Guyan reduction</title><title>Computer methods in applied mechanics and engineering</title><description>An improved error estimator for Guyan reduction is presented for efficient calculation of the relative eigenvalue error. In this work, the original error estimator is simply redefined in the level of the component matrix by neglecting its component matrices that do not affect the performance of estimation. Consequently, a new simple formulation of the error estimator is developed. Compared with the original formulation, it leads to better computational efficiency without significant loss of the estimating accuracy. The performance of the present error estimator is demonstrated theoretically and numerically.</description><subject>Computational efficiency</subject><subject>Computer simulation</subject><subject>Eigenvalue problem</subject><subject>Eigenvalues</subject><subject>Error estimation</subject><subject>Errors</subject><subject>Estimators</subject><subject>Finite element method</subject><subject>Guyan reduction</subject><subject>Mathematical analysis</subject><subject>Mathematical models</subject><subject>Reduced order modeling</subject><subject>Reduction</subject><subject>Structural dynamics</subject><issn>0045-7825</issn><issn>1879-2138</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><recordid>eNp9UE1PwzAMjRBIjI8fwK1HLi1xsqWpOKEJBmjSLnCO0tQRmdpmJCnS_j3ZxhnLli3Z78nvEXIHtAIK4mFbmUFXLI8V5TnpGZmBrJuSAZfnZEbpfFHWki0uyVWMW5pDApuR981YpC8sjB92U9LJ-VH3BVrrjMPR7Atvj3sMwYcCY3KDTnmyuVbTXo9FwG4yB9wNubC6j3j716_J58vzx_K1XG9Wb8undWk4p6kUFExT87ZuUS9M_rGVlgldWw6d4bajUljW8Y4LK1DCHLWFFhvGpOSUN4Jfk_sT7y747ym_pAYXDfa9HtFPUYEEkUkYsHwKp1MTfIwBrdqFLCDsFVB18E1tVfZNHXxTlOekGfN4wmDW8OMwqHi0AjsX0CTVefcP-hekpHWv</recordid><startdate>20160615</startdate><enddate>20160615</enddate><creator>Kim, Jin-Gyun</creator><creator>Boo, Seung-Hwan</creator><creator>Lee, Chang-Ock</creator><creator>Lee, Phill-Seung</creator><general>Elsevier B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><orcidid>https://orcid.org/0000-0002-2146-7609</orcidid></search><sort><creationdate>20160615</creationdate><title>On the computational efficiency of the error estimator for Guyan reduction</title><author>Kim, Jin-Gyun ; Boo, Seung-Hwan ; Lee, Chang-Ock ; Lee, Phill-Seung</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c330t-601c973b7bea5c187b8f26a7f31dc3fd086f2d3d36f6e814eaf1be92288303963</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Computational efficiency</topic><topic>Computer simulation</topic><topic>Eigenvalue problem</topic><topic>Eigenvalues</topic><topic>Error estimation</topic><topic>Errors</topic><topic>Estimators</topic><topic>Finite element method</topic><topic>Guyan reduction</topic><topic>Mathematical analysis</topic><topic>Mathematical models</topic><topic>Reduced order modeling</topic><topic>Reduction</topic><topic>Structural dynamics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kim, Jin-Gyun</creatorcontrib><creatorcontrib>Boo, Seung-Hwan</creatorcontrib><creatorcontrib>Lee, Chang-Ock</creatorcontrib><creatorcontrib>Lee, Phill-Seung</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Computer methods in applied mechanics and engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kim, Jin-Gyun</au><au>Boo, Seung-Hwan</au><au>Lee, Chang-Ock</au><au>Lee, Phill-Seung</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>On the computational efficiency of the error estimator for Guyan reduction</atitle><jtitle>Computer methods in applied mechanics and engineering</jtitle><date>2016-06-15</date><risdate>2016</risdate><volume>305</volume><spage>759</spage><epage>776</epage><pages>759-776</pages><issn>0045-7825</issn><eissn>1879-2138</eissn><abstract>An improved error estimator for Guyan reduction is presented for efficient calculation of the relative eigenvalue error. In this work, the original error estimator is simply redefined in the level of the component matrix by neglecting its component matrices that do not affect the performance of estimation. Consequently, a new simple formulation of the error estimator is developed. Compared with the original formulation, it leads to better computational efficiency without significant loss of the estimating accuracy. The performance of the present error estimator is demonstrated theoretically and numerically.</abstract><pub>Elsevier B.V</pub><doi>10.1016/j.cma.2016.03.030</doi><tpages>18</tpages><orcidid>https://orcid.org/0000-0002-2146-7609</orcidid></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0045-7825 |
ispartof | Computer methods in applied mechanics and engineering, 2016-06, Vol.305, p.759-776 |
issn | 0045-7825 1879-2138 |
language | eng |
recordid | cdi_proquest_miscellaneous_1816086212 |
source | Elsevier ScienceDirect Journals |
subjects | Computational efficiency Computer simulation Eigenvalue problem Eigenvalues Error estimation Errors Estimators Finite element method Guyan reduction Mathematical analysis Mathematical models Reduced order modeling Reduction Structural dynamics |
title | On the computational efficiency of the error estimator for Guyan reduction |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-10T09%3A25%3A03IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=On%20the%20computational%20efficiency%20of%20the%20error%20estimator%20for%20Guyan%20reduction&rft.jtitle=Computer%20methods%20in%20applied%20mechanics%20and%20engineering&rft.au=Kim,%20Jin-Gyun&rft.date=2016-06-15&rft.volume=305&rft.spage=759&rft.epage=776&rft.pages=759-776&rft.issn=0045-7825&rft.eissn=1879-2138&rft_id=info:doi/10.1016/j.cma.2016.03.030&rft_dat=%3Cproquest_cross%3E1816086212%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1816086212&rft_id=info:pmid/&rft_els_id=S0045782516301153&rfr_iscdi=true |