Automated computation of autonomous spectral submanifolds for nonlinear modal analysis. (28th April 2018)

• Record Type: Journal Article
• Authors: Ponsioen, Sten; Pedergnana, Tiemo; Haller, George
• Is Part Of: Journal of sound and vibration. Volume 420(2018)
• Page Start: 269
• Page End: 295
• Publication Date: 2018-04-28
• Subjects: Spectral submanifolds -- Model order reduction -- Nonlinear normal modes -- Structural dynamics -- Backbone curves; Sound -- Periodicals; Vibration -- Periodicals; Son -- Périodiques; Vibration -- Périodiques; Sound; Vibration; Periodicals; Electronic journals; 620.205
• DOI: 10.1016/j.jsv.2018.01.048
• Languages: English
• ISSNs: 0022-460X

Abstract

Abstract: We discuss an automated computational methodology for computing two-dimensional spectral submanifolds (SSMs) in autonomous nonlinear mechanical systems of arbitrary degrees of freedom. In our algorithm, SSMs, the smoothest nonlinear continuations of modal subspaces of the linearized system, are constructed up to arbitrary orders of accuracy, using the parameterization method. An advantage of this approach is that the construction of the SSMs does not break down when the SSM folds over its underlying spectral subspace. A further advantage is an automated a posteriori error estimation feature that enables a systematic increase in the orders of the SSM computation until the required accuracy is reached. We find that the present algorithm provides a major speed-up, relative to numerical continuation methods, in the computation of backbone curves, especially in higher-dimensional problems. We illustrate the accuracy and speed of the automated SSM algorithm on lower- and higher-dimensional mechanical systems.