CMAS Lab

Indian Institute of Technology Roorkee

Fast Uncertainty Quantification in Engine Nacelle Inlet Design Using a Reduced Dimensional Polynomial Chaos Approach


Journal article


Xinfeng Gao, Yijun Wang, N. Spotts, N. Xie, Sourajeet Roy, A. Prasad
2016

Semantic Scholar DOI
Cite

Cite

APA   Click to copy
Gao, X., Wang, Y., Spotts, N., Xie, N., Roy, S., & Prasad, A. (2016). Fast Uncertainty Quantification in Engine Nacelle Inlet Design Using a Reduced Dimensional Polynomial Chaos Approach.


Chicago/Turabian   Click to copy
Gao, Xinfeng, Yijun Wang, N. Spotts, N. Xie, Sourajeet Roy, and A. Prasad. “Fast Uncertainty Quantification in Engine Nacelle Inlet Design Using a Reduced Dimensional Polynomial Chaos Approach” (2016).


MLA   Click to copy
Gao, Xinfeng, et al. Fast Uncertainty Quantification in Engine Nacelle Inlet Design Using a Reduced Dimensional Polynomial Chaos Approach. 2016.


BibTeX   Click to copy

@article{xinfeng2016a,
  title = {Fast Uncertainty Quantification in Engine Nacelle Inlet Design Using a Reduced Dimensional Polynomial Chaos Approach},
  year = {2016},
  author = {Gao, Xinfeng and Wang, Yijun and Spotts, N. and Xie, N. and Roy, Sourajeet and Prasad, A.}
}