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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 Yang
  • Hassan 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
  • University of Stuttgart
  • Rice University
  • Imperial College London
  • University of Liege
  • Brigham Young University
  • Friedrich-Alexander University Erlangen-Nürnberg
  • Sandia National Laboratories
  • ATA Engineering Inc.
  • Northwestern Polytechnical University Xian
  • Northumbria University
  • Swansea University
  • ETH Zürich
  • TU Dortmund University
  • Middle East Technical University

科研成果: 期刊稿件文章同行评审

12 引用 (Scopus)

摘要

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.

源语言英语
文章编号112016
期刊Mechanical Systems and Signal Processing
224
DOI
出版状态已出版 - 1 1月 2025

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