A non-intrusive stochastic Galerkin approach for modeling uncertainty propagation in deformation processes
By Swagato Acharjee, Nicholas Zabaras. 2007
92 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/c216d64753aaf83a5bbd79662c8dfc9a4e95d379
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In Civil and Structural Engineering
In Statistics and Probability
Citations in the corpus
- Efficient Analysis of High Dimensional Data in Tensor Formats (2012, unknown): “(14) [1–3, 14, 17, 22, 28, 36, 37, 43, 44, 48, 49].”
- Weighted stochastic response surface method considering sample weights (2011, methodology): “polynomials based PCE model, developed by Ghanem and Spanos (1991), successfully expands the application of PCE to various fields, from finite deforming problem ( Acharjee and Zabaras 2006, 2007 ) environment and acoustics problems (Finette 2006), stochastic differential equations (Xiu and Karniadak”
- Reengineering Aircraft Structural Life Prediction Using a Digital Twin (2011, background): “The second development is nonintrusive SFEM approaches [39].”
- Evaluating the response statistics of an uncertain bridge–vehicle system (2012, background): “It is noted that applications of SSFEM in engineering problem can be found in fluid flow problem [21,22], diffusion problem [23], structural vibration problem [24], acoustic scattering problem [25], embankment dam problem [26], etc.”