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Finite element modeling of the signal propagation in a thin tube and comparison with experimental data
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SYSNO ASEP 0491020 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title Finite element modeling of the signal propagation in a thin tube and comparison with experimental data Author(s) Kruisová, Alena (UT-L) RID
Kolman, Radek (UT-L) RID
Trnka, Jan (UT-L) RID
Mračko, Michal (UT-L)Number of authors 4 Source Title Engineering mechanics 2018. Book of full texts. - Prague : Institute of Theoretical and Applied Mechanics of the Czech Academy of Sciences, 2018 / Fischer C. ; Náprstek J. - ISSN 1805-8248 - ISBN 978-80-86246-88-8 Pages s. 441-444 Number of pages 4 s. Publication form Print - P Action Engineering mechanics 2018 /24./ Event date 14.05.2018 - 17.05.2018 VEvent location Svratka Country CZ - Czech Republic Event type EUR Language eng - English Country CZ - Czech Republic Keywords wave propagation ; finite element method ; dispersion errors Subject RIV BI - Acoustics OECD category Applied mechanics R&D Projects EF15_003/0000493 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) GA17-22615S GA ČR - Czech Science Foundation (CSF) Institutional support UT-L - RVO:61388998 Annotation In finite element modeling of wave propagation problems, both the spatial and temporal discretization lead to dispersion errors. It means that the phase velocity of propagated wave is related to its frequency. In framework of temporal-spatial dispersion analysis, the time step size for implicit time integration method based on the Newmark method is proposed for linear and quadratic serendipity plane finite elements. In this paper, we verify the theoretical dispersion analysis by elastic wave propagation in thin tube, where experimental results are known. Such time step size was used in finite element modeling of the stress wave propagating in this thin steel tube, the results of simulations were compared with experimental results. Workplace Institute of Thermomechanics Contact Marie Kajprová, kajprova@it.cas.cz, Tel.: 266 053 154 ; Jana Lahovská, jaja@it.cas.cz, Tel.: 266 053 823 Year of Publishing 2019
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