Error estimation for the automated multi-level substructuring method

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In this study, we propose an effective method to estimate the reliability of finite element models reduced by the automated multi-level substructuring (AMLS) method. The proposed error estimation method can accurately predict relative eigenvalue errors in reduced finite element models. A new, enhanced transformation matrix for the AMLS method is derived from the original transformation matrix by properly considering the contribution of residual substructural modes. The enhanced transformation matrix is an important prerequisite to develop the error estimation method. Adopting the basic concept of the error estimation method recently developed for the Craig-Bampton method, an error estimation method is developed for the AMLS method. Through various numerical examples, we demonstrate the accuracy of the proposed error estimation method and explore its computational efficiency. Copyright (C) 2015 John Wiley & Sons, Ltd
Publisher
WILEY-BLACKWELL
Issue Date
2016-06
Language
English
Article Type
Article
Keywords

COMPONENT MODE SYNTHESIS; FINITE-ELEMENT METHOD; CRAIG-BAMPTON METHOD; DYNAMIC ANALYSIS; INTERPOLATION

Citation

INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING, v.106, no.11, pp.927 - 950

ISSN
0029-5981
DOI
10.1002/nme.5161
URI
http://hdl.handle.net/10203/212269
Appears in Collection
ME-Journal Papers(저널논문)
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