Introducing a Round-Robin Challenge to Quantify Model Form Uncertainty in Passive and Active Vibration Isolation
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-37003-8_1
Reference11 articles.
1. Platz, R.: Approach to assess basic deterministic data and model form uncertainty in passive and active vibration isolation. In: Pelz, P.F., Groche, P. (eds.) Uncertainty in Mechanical Engineering, pp. 208–223. Springer International Publishing, Cham (2021)
2. Higdon, D., Gattiker, J., Williams, B., Rightley, M.: Computer model calibration using high-dimensional output. J. Am. Stat. Assoc. 103(482), 570–583 (2008). https://doi.org/10.1198/016214507000000888
3. Kennedy, M.C., O’Hagan, A.: Bayesian calibration of computer models. J. R. Stat. Soc. Series B Stat. Methodology. 63(3), 425–464 (2001). https://doi.org/10.1111/1467-9868.00294
4. Conference Proceedings of the Society for Experimental Mechanics Series;R Platz,2023
5. Platz, R., Ondoua, S., Enss, G.C., Melz, T.: Approach to evaluate uncertainty in passive and active vibration reduction. In: IMAC–XXXII A Conference and Exposition on Structural Dynamics, Orlando, FL, USA, pp. 345–352, 3–6 Feb 2014
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