On the accuracy of the polynomial chaos approximation for random variables and stationary stochastic processes.
By R. Field, Mircea Dan Grigoriu. 2003
153 citations recorded by the source corpus.
Subfields: Environmental Engineering, Global and Planetary Change, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/6e55c6898d43db7bd7a947480905f52bfc70d140
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Environmental Engineering
- Bruno Sudret
- Géraud Blatman
- Miroslav Vorechovský
- Kok-Kwang Phoon
- Gerhart I. Schuëller
- B. Liang
- Siu-seong Law
- Nicholas Zabaras
In Global and Planetary Change
- Kok-Kwang Phoon
- Gerhart I. Schuëller
- Miroslav Vorechovský
- Bruno Sudret
- Helmut J. Pradlwarter
- Marc Berveiller
- Maurice Lemaire
In Statistics and Probability
- Bruno Sudret
- Géraud Blatman
- Anthony Nouy
- George Stefanou
- Kok-Kwang Phoon
- Gerhart I. Schuëller
- Helmut J. Pradlwarter
- Marc Berveiller
Citations in the corpus
- Simulation of simply cross correlated random fields by series expansion methods (2008, background): “Grigoriu [3] criticize the algorithm for its computational intensity and questionable accuracy.”
- Uncertainty analysis of complex structural systems (2009, background): “Since in practical application the number P is necessarily finite, and also sufficiently small to be competitive with simple ‘direct’ MCS, the rate of convergence plays an important role [14].”
- A non-intrusive stochastic Galerkin approach for modeling uncertainty propagation in deformation processes (2007, background): “It was shown in [ 15 ] and [16] that for functions involving high nonlinearities and critical points the GPCE fails to perform satisfactorily.”
- An adaptive algorithm to build up sparse polynomial chaos expansions for stochastic finite element analysis (2010, background): “in [30] for evaluating a posteriori the accuracy of truncated PC expansions.”
- Geotechnical probabilistic analysis by collocation-based stochastic response surface method: An Excel add-in implementation (2009, background): “The accuracy of these truncated low-order expansions are discussed elsewhere (Field and Grigoriu 2004, Debusschere et al. 2004).”
- Evaluating the response statistics of an uncertain bridge–vehicle system (2012, background): “An increase in the order of PCE cannot improve the accuracy, which may be due to the limitation of the PC approximations [37].”
- A stochastic finite element procedure for moment and reliability analysis (2006, methodology): “Projection method This method was used by (Puiget al., 2002, Xiu and Karniadakis, 2002, Field and Grigoriu, 2004).”