activity
20202026
most citedNonautonomous Spectral Submanifolds for Model Reduction of Nonlinear Mechanical Systems under Parametric Resonance

1 citations · 1 across the 3 of their papers we have counts for

collaborators
Showing math.DSShow all

6 papers · 1 filter

math.DS2026

Predicting Generalized Steady States in Aperiodically Forced Mechanical Systems

Roshan S. Kaundinya, Isabella Thiel, Bálint Kaszás +2

The existence of generalized steady states (GSSs) in nonlinear mechanical systems under moderate temporally aperiodic forcing has only been shown recently. Here we derive systemati…

math.DS2024

Nonlinear Model Reduction to Random Spectral Submanifolds in Random Vibrations

Zhenwei Xu, Roshan S. Kaundinya, Shobhit Jain +1

Dynamical systems in engineering and physics are often subject to irregular excitations that are best modeled as random. Monte Carlo simulations are routinely performed on such ran…

math.DS2023

Data-Assisted Non-Intrusive Model Reduction for Forced Nonlinear Finite Elements Models

Mattia Cenedese, Jacopo Marconi, George Haller +1

Spectral submanifolds (SSMs) have emerged as accurate and predictive model reduction tools for dynamical systems defined either by equations or data sets. While finite-elements (FE…

math.DS2023

Fast computation and characterization of forced response surfaces via spectral submanifolds and parameter continuation

Mingwu Li, Shobhit Jain, George Haller

For mechanical systems subject to periodic excitation, forced response curves (FRCs) depict the relationship between the amplitude of the periodic response and the forcing frequenc…

math.DS20231 cited

Nonautonomous Spectral Submanifolds for Model Reduction of Nonlinear Mechanical Systems under Parametric Resonance

Thomas Thurnher, George Haller, Shobhit Jain

We use the recent theory of Spectral Submanifolds (SSM) for model reduction of nonlinear mechanical systems subject to parametric excitations. Specifically, we develop expressions…

math.DS2020

Using Spectral Submanifolds for Optimal Mode Selection in Model Reduction

Gergely Buza, Shobhit Jain, George Haller

Model reduction of large nonlinear systems often involves the projection of the governing equations onto linear subspaces spanned by carefully-selected modes. The criteria to selec…