Modeling physical uncertainties in dynamic stall induced fluid-structure interaction of turbine blades using arbitrary polynomial chaos
By Jeroen A. S. Witteveen, Sunetra Sarkar, Hester Bijl. 2007
149 citations recorded by the source corpus.
Subfields: Computational Mechanics, Environmental Engineering, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/2e61b2b91572d0371ba3bc33bdc146376d270b90
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
In Environmental Engineering
- Bruno Sudret
- Géraud Blatman
- Roland Schöbi
- J. Wiart
- Stefano Marelli
- Sergey Oladyshkin
- Wolfgang Nowak
- Daniel Dias
In Statistics and Probability
- Géraud Blatman
- Bruno Sudret
- Wei-Xin Ren
- Michael D. Todd
- H. Wan
- Anthony Nouy
- Stefano Marelli
- Xiaoping Du
Citations in the corpus
- Arbitrary polynomial chaos expansion method for uncertainty quantification and global sensitivity analysis in structural dynamics (2020, background): “Because of its substantial generality in dealing with arbitrary probability 109 distributions, aPCE has been successfully applied to solve a wide range of engineering 110 problems [42-46].”
- Adaptive sparse polynomial chaos expansion based on least angle regression (2011, methodology): “As an alternative, ad hoc orthogonal polynomial may be generated numerically for random variables with arbitrary distributions [28, 29].”