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

Malte Krack*, Matthew R.W. Brake, Christoph Schwingshackl, Johann Gross, Patrick Hippold, Matias Lasen, Daniele Dini, Loic Salles, Matthew S. Allen, Drithi Shetty, Courtney A. Payne, Kai Willner, Michael Lengger, Moheimin Y. Khan, Jonel Ortiz, David A. Najera-Flores, Robert J. Kuether, Paul R. Miles, Chao Xu, Huiyi YangHassan Jalali, Javad Taghipour, Hamed Haddad Khodaparast, Michael I. Friswell, Paolo Tiso, Ahmed Amr Morsy, Arati Bhattu, Svenja Hermann, Nidhal Jamia, H. Nevzat Özgüven, Florian Müller, Maren Scheel

*Corresponding author for this work

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    Abstract

    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.
    Original languageEnglish
    Article number112016
    Pages (from-to)1-25
    Number of pages25
    JournalMechanical Systems and Signal Processing
    Volume224
    Early online date24 Oct 2024
    DOIs
    Publication statusPublished - 1 Jan 2025

    Keywords

    • Friction damping
    • Jointed structures
    • Geometric nonlinearity
    • Nonlinear dynamics
    • Nonlinear modal analysis

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