000021712 001__ 21712
000021712 005__ 20170622131301.0
000021712 04107 $$aeng
000021712 046__ $$k2017-06-15
000021712 100__ $$aPalomba, Ilaria
000021712 24500 $$aMODEL REDUCTION THROUGH ENHANCED CRAIG-BAMPTON TRANSFORMATION AND INTERIOR MODE SELECTION

000021712 24630 $$n6.$$pComputational Methods in Structural Dynamics and Earhquake Engineering
000021712 260__ $$bNational Technical University of Athens, 2017
000021712 506__ $$arestricted
000021712 520__ $$2eng$$aThe application of the most advanced engineering techniques, such as model updating, design optimization, real-time control, requires the availability of very accurate and computationally efficient system models. To meet such a need several model reduction techniques have been developed and improved. In recent studies it has been proved that very accurate reduced-order models can be obtained by enhancing the Craig-Bampton method, which is the most implemented reduction technique because of its effectiveness and easiness of implementation. Not only does the accuracy of reduced-order models depend on the strategy adopted but also on the modes retained at the reduction stage. In particular, it has been proved that a proper selection of the interior Craig-Bampton modes to be retained in the reduced-order model can considerably boost the accuracy of "minimum-size" models. In this paper a reduction strategy is proposed that exploits both the benefits of enhanced Craig-Bampton transformation and of an effective mode selection criterion. The latter, in particular, ranks and selects through analytical coefficients the interior modes on the basis of their contribution to the system dynamics, while the first adds the contribution of the neglected interior modes through the enhanced transformation, which is based on the residual flexibility of the neglected modes. The minor increase in the complexity of the Craig Bampton method due to the proposed strategy is compensated by the remarkable improvement of reduced-order models in terms of accuracy and size. The effectiveness of the proposed strategy is validated through a few representative examples.

000021712 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000021712 653__ $$a

000021712 7112_ $$aCOMPDYN 2017 - 6th International Thematic Conference$$cRhodes Island (GR)$$d2017-06-15 / 2017-06-17$$gCOMPDYN2017
000021712 720__ $$aPalomba, Ilaria$$iKim, Jin-Gyun$$iTrevisani, Alberto$$iRichiedei, Dario
000021712 8560_ $$ffischerc@itam.cas.cz
000021712 8564_ $$s117218$$uhttps://invenio.itam.cas.cz/record/21712/files/17595.pdf$$yOriginal version of the author's contribution as presented on CD, section: [MS12] Advances in model reduction techniques in structural and multi-physics dynamical systems
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000021712 962__ $$r21500
000021712 980__ $$aPAPER