Data-assisted non-intrusive model reduction for forced nonlinear finite elements models
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 …
tools for dynamical systems defined either by equations or data sets. While finite-elements …
Topology optimization of MEMS resonators with target eigenfrequencies and modes
D Giannini, N Aage, F Braghin - European Journal of Mechanics-A/Solids, 2022 - Elsevier
In this paper we present a density based topology optimization approach to the synthesis of
industrially relevant MEMS resonators. The methodology addresses general resonators …
industrially relevant MEMS resonators. The methodology addresses general resonators …
Data-free non-intrusive model reduction for nonlinear finite element models via spectral submanifolds
The theory of spectral submanifolds (SSMs) has emerged as a powerful tool for constructing
rigorous, low-dimensional reduced-order models (ROMs) of high-dimensional nonlinear …
rigorous, low-dimensional reduced-order models (ROMs) of high-dimensional nonlinear …
A Robust Angular Rate Sensor Utilizing 2: 1 Auto-Parametric Resonance Excitation
B Gadhavi, F Golnaraghi, B Bahreyni - Sensors, 2022 - mdpi.com
This paper presents a single-axis angular rate sensor that is robust to variations in its
operating voltage and frequencies. The sensor is developed to overcome the shortcomings …
operating voltage and frequencies. The sensor is developed to overcome the shortcomings …