NDLI: Improvement of substructuring reduction technique for large eigenproblems using an efficient dynamic condensation method

Content Provider	Springer Nature Link
Author	Choi, Dongsoo Kim, Hyungi Cho, Maenghyo
Copyright Year	2008
Abstract	An accelerated substructuring reduction procedure for the iterated improved reduced system (IIRS) method is proposed. The iterated IIRS method can be combined with a substructuring scheme to provide an efficient methodology for large-scale eigenvalue problems. Not only can it reduce eigenvalue analysis errors through successive iterations, but the accuracy of the eigenanalysis is not sensitive to the selected master degrees of freedom. In practical structural eigenproblems, reducing the number of iterations can save a great deal of computation cost. The present substructuring technique modifies the iterative form of the transformation matrices in each substructure to achieve faster convergence. Applications of the present method to two numerical examples demonstrate that the proposed method can obtain lower eigensolutions of structures more accurately and efficiently, as compared with those of the current substructuring technique.
Starting Page	255
Ending Page	268
Page Count	14
File Format	PDF
ISSN	1738494X
Journal	Journal of Mechanical Science and Technology
Volume Number	22
Issue Number	2
e-ISSN	19763824
Language	English
Publisher	Korean Society of Mechanical Engineers
Publisher Date	2008-05-31
Publisher Place	Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Dynamic condensation method Iterated IRS (IIRS) method Substructuring technique Engineering Thermodynamics, Transport Phenomena Engineering Fluid Dynamics Power Engineering Industrial and Production Engineering Vibration, Dynamical Systems, Control Engineering Design
Content Type	Text
Resource Type	Article
Subject	Mechanics of Materials Mechanical Engineering

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