The Tribomechadynamics Research Challenge: Confronting blind predictions for the linear and nonlinear dynamics of a thin-walled jointed structure with measurement results
Krack, Malte; Brake, Matthew R.W.; Schwingshackl, Christophet al.
2025 • In Mechanical Systems and Signal Processing, 224, p. 112016
Friction damping; Geometric nonlinearity; Jointed structures; Nonlinear dynamics; Nonlinear modal analysis; Blind predictions; Frictional contact; Geometric non-linearity; Jointed structure; Research challenges; Thin plate; Thin-walled; Vibration behaviours; Control and Systems Engineering; Signal Processing; Civil and Structural Engineering; Aerospace Engineering; Mechanical Engineering; Computer Science Applications
Abstract :
[en] 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.
The Tribomechadynamics Research Challenge: Confronting blind predictions for the linear and nonlinear dynamics of a thin-walled jointed structure with measurement results
M. Krack is grateful for the funding received by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) [Project 450056469, 495957501]. This work presents results of the Tribomechadynamics Research Camp (TRC). The authors thank MTU Aero Engines AG for sponsoring the TRC 2022. The authors are grateful to Maximilian W. Beck for aiding with the design of the benchmark system. S. Hermann is grateful for the funding received by the EIPHI Graduate School, ANR-17-EURE-0002. N. Jamia gratefully acknowledges the support of the Engineering and Physical Sciences Research Council, United Kingdom through the award of the Programme Grant \u201CDigital Twins for Improved Dynamic Design\u201D, grant number EP/R006768/1. P. Tiso and A. A. Morsy acknowledge the funding of the Swiss National Science Foundation project \u201CMeso-scale modeling of Friction in reduced non-linear interface Dynamics: MesoFriDy\u201D. M.Y. Khan, J. Ortiz, D.A. Najera-Flores, R.J. Kuether, and P.R. Miles acknowledge that this article has been authored by an employee of National Technology & Engineering Solutions of Sandia, LLC under Contract No. DE-NA0003525 with the U.S. Department of Energy (DOE). The employee owns all right, title and interest in and to the article and is solely responsible for its contents. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this article or allow others to do so, for United States Government purposes. The DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan https://www.energy.gov/downloads/doe-public-access-plan. This paper describes objective technical results and analysis. Any subjective views or opinions that might be expressed in the paper do not necessarily represent the views of the U.S. Department of Energy or the United States Government.M. Krack is grateful for the funding received by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) [Project 450056469, 495957501].S. Hermann is grateful for the funding received by the EIPHI Graduate School , ANR-17-EURE-0002 .N. Jamia gratefully acknowledges the support of the Engineering and Physical Sciences Research Council through the award of the Programme Grant \u201CDigital Twins for Improved Dynamic Design\u201D, grant number EP/R006768/1 .
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