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Document type:
Konferenzbeitrag 
Contribution type:
Vortrag / Präsentation 
Author(s):
Kodakkal, A.; Ghantasala, A.; Andre M.; Wüchner, R.; Bletzinger, K.-U. 
Title:
Two Step Uncertainty Quantification Using Gradient Enhanced Stochastic Collocation for Geometric Uncertainties in FSI Problems. 
Abstract:
Uncertainty quantification (UQ) for multi physics problems like fluid-structure interaction is challenging in terms of the computational cost and efficiency. Sampling algorithms like Monte-Carlo is not feasible for these complex problems due to the constrains in computational time and cost. Random geometry variation arises due to manufacturing tolerances, icing, wear and tear during operation etc. Quantification of these geometric uncertainties is challenging due to the large number of geometric...    »
 
Keywords:
UQ, Gradient Enhanced, Sensitivities 
Book / Congress title:
Frontiers of Uncertainty Quantification in Engineering, 2017 
Organization:
GAMM 
Year:
2017 
Quarter:
3. Quartal 
Year / month:
2017-09 
Month:
Sep 
Reviewed:
ja 
Language:
en 
Last change:
06.09.2017