Since 1963
ARTICLE
A new nondeterministic method for optimal selection of master degrees of freedom for dynamic condensation based on evolutionary optimization
1
Silesian University of Technology, Department of Computational Mechanics and Engineering, Gliwice, Poland
Submission date: 2019-11-29
Acceptance date: 2020-02-14
Online publication date: 2020-04-15
Publication date: 2020-04-15
Corresponding author
Waldemar Mucha
Department of Computational Mechanics and Engineering, Silesian University of Technology, Konarskiego 18A, 44-100, Gliwice, Poland
Department of Computational Mechanics and Engineering, Silesian University of Technology, Konarskiego 18A, 44-100, Gliwice, Poland
Journal of Theoretical and Applied Mechanics 2020;58(2):445-458
KEYWORDS
TOPICS
ABSTRACT
The following paper presents a new method for choosing a set of master degrees of freedom
for the process of dynamic condensation in order to reduce a finite element model. The
general rule is that the more degrees of freedom are eliminated, the more accurate the
reduced model is. However, eliminating different subsets (of equal sizes) of degrees of freedom
may influence the accuracy differently. Therefore, choosing an optimal subset is crucial.
The presented method is based on multicriterial evolutionary optimization which makes it
the first nondeterministic approach based on computational optimization technique for this
application.
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