Robust optimization of nonlinear energy sinks used for mitigation of friction-induced limit cycle oscillations

DOI10.1016/J.EUROMECHSOL.2022.104529OpenAlexW4205399359MaRDI QIDQ2077513

Sébastien Berger, Baptiste Bergeot, Cherif Snoun

Publication date: 21 February 2022

Published in: European Journal of Mechanics. A. Solids (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.euromechsol.2022.104529

zbMATH Keywords

uncertaintyrobust optimizationpolynomial chaosnonlinear energy sinkfriction-induced vibration

Mathematics Subject Classification ID

Mechanics of deformable solids (74-XX)

Cites Work

• A polynomial chaos approach to the robust analysis of the dynamic behaviour of friction systems
• Recent developments in spectral stochastic methods for the numerical solution of stochastic partial differential equations
• Nonlinear targeted energy transfer in mechanical and structural systems. 2 Vols.
• Models and computational methods for dynamic friction phenomena
• Stochastic study of a non-linear self-excited system with friction
• Dynamic behavior analysis of a mechanical system with two unstable modes coupled to a single nonlinear energy sink
• Prediction of the dynamic behavior of an uncertain friction system coupled to nonlinear energy sinks using a multi-element generalized polynomial chaos approach
• Analysis of squeal noise and mode coupling instabilities including damping and gyroscopic effects
• An adaptive multi-element generalized polynomial chaos method for stochastic differential equations
• The orthogonal development of non-linear functionals in series of Fourier-Hermite functionals
• A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code
• Energy Pumping in Nonlinear Mechanical Oscillators: Part II—Resonance Capture
• Stochastic finite element: a non intrusive approach by regression
• Some basic hypergeometric orthogonal polynomials that generalize Jacobi polynomials
• The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations

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