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Improvement in the predictivity of squeal simulations: Uncertainty and robustness

Abstract : The objective of this paper is to improve the predictivity of squeal simulations by introducing uncertainty and robustness concepts during simulations. Complex eigenvalue analysis is a traditional way to detect numerically the unstable modes that can be associated with extensive vibration and noise pollution. This simulation, for which associated computational times are compatible with the design phase, is known to be insufficiently predictive. We first propose a complete strategy that relies on the integration of random fields into the contact interface, complex eigenvalue calculations, probabilistic analysis and a robustness criterion. Next, this strategy is applied to study the instabilities of a complete industrial brake system. Experimental comparisons highlight the efficiency of the improved squeal detection methodology.
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https://hal-uphf.archives-ouvertes.fr/hal-03184580
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Submitted on : Monday, March 29, 2021 - 4:07:55 PM
Last modification on : Saturday, October 9, 2021 - 3:15:51 AM

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Thierry Tison, Arnaud Heussaff, Franck Massa, Isabelle Turpin, R.F. Nunes. Improvement in the predictivity of squeal simulations: Uncertainty and robustness. Journal of Sound and Vibration, Elsevier, 2014, 333 (15), pp.3394-3412. ⟨10.1016/j.jsv.2014.03.011⟩. ⟨hal-03184580⟩

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