For more information about this meeting, contact Victor Nistor, Jinchao Xu, Xiantao Li, Yuxi Zheng, Kris Jenssen, Hope Shaffer.
| Title: | Uncertainty Quantification Algorithms, Analysis and Applications |
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| Seminar: | Computational and Applied Mathematics Colloquium |
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| Speaker: | Guang Lin, Pacific Northwest National Lab |
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| Abstract: |
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| Experience suggests that uncertainties often play an important role in
quantifying the performance of complex systems. Therefore, uncertainty
needs to be treated as a core element in modeling, simulation and
optimization of complex systems. In this talk, a new formulation for
quantifying uncertainty in the context of subsurface flow and transport
problem will be discussed. An integrated simulation framework will be
presented that quantifies both numerical and modeling errors in an
effort to establish "error bars" in CFD. In particular, stochastic
formulations based on Galerkin and collocation versions of the
generalized Polynomial Chaos (gPC), adaptive ANOVA decomposition, random
domain decomposition, and some stochastic sensitivity analysis
techniques will be discussed in some detail. Several specific examples
on flow and transport in randomly heterogeneous porous media piston
problem will be presented to illustrate the main idea of our approach. |
Room Reservation Information
| Room Number: | MB106 |
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| Date: | 11 / 04 / 2011 |
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| Time: | 03:35pm - 04:25pm |
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