Methods for dimension reduction and their application in nonlinear dynamics

By A. Steindl, H. Troger. 2001

127 citations recorded by the source corpus.

Subfields: Computational Mechanics, Statistical and Nonlinear Physics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/17c1ba752a3d52a07ca89ef3670dd0867ac01406

How researchers see this paper

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

In Computational Mechanics

1. Gaetan Kerschen
2. Jean-Claude Golinval
3. Lawrence A. Bergman
4. Alexander F. Vakakis

In Statistical and Nonlinear Physics

1. Gaetan Kerschen
2. Jean-Claude Golinval
3. Lawrence A. Bergman
4. Alexander F. Vakakis

In Statistics and Probability

1. Jean-Claude Golinval
2. Gaetan Kerschen
3. Lawrence A. Bergman
4. Alexander F. Vakakis
5. Charbel Farhat
6. Kevin T. Carlberg

Citations in the corpus

• The Method of Proper Orthogonal Decomposition for Dynamical Characterization and Order Reduction of Mechanical Systems: An Overview (2005, background): “The POD now enjoys various applications in structural dynamics such as active control [28], aeroelastic problems [29, 30], damage detection [31–33], dynamic characterization [34–41], finite element model updating [42, 43], modal analysis [44, 45], multibody systems [46], model order reduction [47–52”