The Tribomechadynamics Research Challenge: Confronting blind predictions for the linear and nonlinear dynamics of a thin-walled jointed structure with measurement results

The present article summarizes the submissions to the Tribomechadynamics Research Challenge announced in 2021. The task was a blind prediction of the vibration behavior of a system comprising a thin plate clamped on two sides via bolted joints. Both geometric and frictional contact nonlinearities ar...

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Published in:Mechanical systems and signal processing Vol. 224; no. 1; p. 112016
Main Authors: Krack, Malte, Brake, Matthew R.W., Schwingshackl, Christoph, Gross, Johann, Hippold, Patrick, Lasen, Matias, Dini, Daniele, Salles, Loic, Allen, Matthew S., Shetty, Drithi, Payne, Courtney A., Willner, Kai, Lengger, Michael, Khan, Moheimin Y., Ortiz, Jonel, Najera-Flores, David A., Kuether, Robert J., Miles, Paul R., Xu, Chao, Yang, Huiyi, Jalali, Hassan, Taghipour, Javad, Khodaparast, Hamed Haddad, Friswell, Michael I., Tiso, Paolo, Morsy, Ahmed Amr, Bhattu, Arati, Hermann, Svenja, Jamia, Nidhal, Özgüven, H. Nevzat, Müller, Florian, Scheel, Maren
Format: Journal Article
Language:English
Published: United States Elsevier Ltd 01.01.2025
Academic Press
Elsevier
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ISSN:0888-3270, 1096-1216
Online Access:Get full text
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Summary:The present article summarizes the submissions to the Tribomechadynamics Research Challenge announced in 2021. The task was a blind prediction of the vibration behavior of a system comprising a thin plate clamped on two sides via bolted joints. Both geometric and frictional contact nonlinearities are expected to be relevant. Provided were the CAD models and technical drawings of all parts as well as assembly instructions. The main objective was to predict the frequency and damping ratio of the lowest-frequency mode as function of the amplitude. Many different prediction approaches were pursued, ranging from well-known methods to very recently developed ones. After the submission deadline, the system has been fabricated and tested. The aim of this article is to evaluate the current state of the art in modeling and vibration prediction, and to provide directions for future methodological advancements.
Bibliography:scopus-id:2-s2.0-85207643070
Engineering and Physical Sciences Research Council (EPSRC)
NA0003525
USDOE National Nuclear Security Administration (NNSA)
SAND--2024-14756J
ISSN:0888-3270
1096-1216
DOI:10.1016/j.ymssp.2024.112016