Jean Claude Golinval

TL;DR: In this article, a review of the past and recent developments in system identification of nonlinear dynamical structures is presented, highlighting their assets and limitations and identifying future directions in this research area.

TL;DR: In this article, a different approach is adopted, and proper orthogonal decomposition is considered, and modes extracted from the decomposition may serve two purposes, namely order reduction by projecting high-dimensional data into a lower-dimensional space and feature extraction by revealing relevant but unexpected structure hidden in the data.

TL;DR: In this paper, a damage detection method based on principal component analysis (PCA) applied to vibration features identified during the monitoring of the structure is proposed for structural health monitoring under varying environmental and operational conditions.

TL;DR: In this article, the nonlinear normal modes of the Morane-Saulnier Paris aircraft were computed from a reduced-order nonlinear finite element model using a numerical algorithm combining shooting and pseudo-arclength continuation.

TL;DR: In this article, the use of a nonlinear energy sink (NES) attachment has been shown to be effective in reducing or even eliminating self-excited motions in van der Pol and aeroelastic systems.