Optimal second order reduction basis selection for nonlinear transient analysis

By Paolo Tiso. 2011

48 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Mechanical Engineering, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/20b77ce58a1a1b3a72402301fca4a85d9020eb97

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. Long Wu
2. Bernd Simeon
3. Oliver Weeger
4. Utz Wever
5. Daniel J. Rixen
6. Paolo Tiso
7. Fabian M. Gruber

In Mechanical Engineering

1. Long Wu
2. Daniel J. Rixen
3. Bernd Simeon
4. Paolo Tiso

In Statistical and Nonlinear Physics

1. Long Wu
2. Daniel J. Rixen
3. Bernd Simeon
4. Oliver Weeger
5. Utz Wever
6. Paolo Tiso

Citations in the corpus

• On the use of modal derivatives for nonlinear model order reduction (2016, background): “In [33], some criteria have been presented for the estimation of contributions of MDs to the solutions of transient problems and thus provide a guideline for the selection.”
• Discrete Empirical Interpolation Method for Finite Element Structural Dynamics (2013, background): “However, other choices are possible when dealing with geometrical nonlinearities [4, 5].”
• Nonlinear model order reduction for flexible multibody dynamics: a modal derivatives approach (2016, methodology): “Also, the MDs have been successfully calculated for three dimensional models [29, 39] in the inertia frame, to solve nonlinear problems without large rigid body motion.”