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

Journal Article · · Mechanical Systems and Signal Processing
ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [3];  [1];  [1];  [3];  [3];  [4]; ORCiD logo [5]; ORCiD logo [2];  [5]; ORCiD logo [2];  [5]; ORCiD logo [6];  [6]; ORCiD logo [7];  [6]; ORCiD logo [6]; ORCiD logo [8];  [8] more »; ORCiD logo [9]; ORCiD logo [10]; ORCiD logo [10]; ORCiD logo [10];  [11]; ORCiD logo [11];  [10]; ORCiD logo [12]; ORCiD logo [10]; ORCiD logo [13];  [1]; ORCiD logo [1] « less
  1. University of Stuttgart (Germany)
  2. Rice Univ., Houston, TX (United States)
  3. Imperial College, London (United Kingdom)
  4. Univ. of Liege, (Belgium)
  5. Brigham Young Univ., Provo, UT (United States)
  6. Sandia National Laboratories (SNL-CA), Livermore, CA (United States)
  7. ATA Engineering, Inc., San Diego, CA (United States)
  8. Northwestern Polytechnical Univ., Xi'an, Shaanxi (China)
  9. Northumbria University, Newcastle-Upon-Tyne (United Kingdom)
  10. Swansea University, Wales (United Kingdom)
  11. Eidgenoessische Technische Hochschule (ETH), Zurich (Switzerland)
  12. Technische Univ. of Dortmund (Germany)
  13. Middle East Technical University, Cankaya, Ankara (Turkey)

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.

Research Organization:
Sandia National Laboratories (SNL-CA), Livermore, CA (United States)
Sponsoring Organization:
Engineering and Physical Sciences Research Council (EPSRC); USDOE National Nuclear Security Administration (NNSA)
Grant/Contract Number:
NA0003525
OSTI ID:
2475739
Report Number(s):
SAND--2024-14756J
Journal Information:
Mechanical Systems and Signal Processing, Journal Name: Mechanical Systems and Signal Processing Journal Issue: 1 Vol. 224; ISSN 0888-3270
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English

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