Analysis of Eigenvalues and Modal Interaction of Stochastic Systems
By Debraj Ghosh, Roger G. Ghanem, John R. Red-Horse. 2005
84 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Environmental Engineering, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/447c34ef9359b550a746cb737f2208e3b26599b9
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Theory and Mathematics
In Environmental Engineering
- Jean-Jacques Sinou
- O. Dessombz
- Emmanuelle Sarrouy
- Debraj Ghosh
- Roger G. Ghanem
- Anthony Nouy
- Dongbin Xiu
- G. Em Karniadakis
In Statistics and Probability
- Jean-Jacques Sinou
- O. Dessombz
- Emmanuelle Sarrouy
- Debraj Ghosh
- Roger G. Ghanem
- Anthony Nouy
- Bruno Sudret
- Dongbin Xiu
Citations in the corpus
- Efficient characterization of the random eigenvalue problem in a polynomial chaos decomposition (2007, background): “Statistics of the modal vectors can be described using statistical modal interaction [21, 22].”
- The stochastic finite element method: Past, present and future (2009, unknown): “solid, structural and fluid mechanics, acoustics, heat transfer) [1–4,13–15,18,20,22–29,31,32,37,40,42,44–46,48–51,57–69,72,74, 89,91,92,94–96,99,103,104,106–108,111–113,116–124,126–139,148, 154,155,158,160,162,166,173,175,188,196].”
- Piecewise polynomial chaos expansion with an application to brake squeal of a linear brake system (2013, methodology): “One of the most popular methods based on such a polynomial decomposition is the Polynomial Chaos expansion which uses a basis of Hermite multivariate polynomials [25, 35].”