Uncertainty Quantification of Numerical Simulation of Flows around a Cylinder Using Non-intrusive Polynomial Chaos

The uncertainty quantification of flows around a cylinder is studied by the non-intrusive polynomial chaos method. Based on the validation with benchmark results, discussions are mainly focused on the statistic properties of the peak lift and drag coefficients and base pressure drop over the cylinde...

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Bibliographic Details
Published inChinese physics letters Vol. 33; no. 9; pp. 17 - 21
Main Author 王言金 张树道
Format Journal Article
LanguageEnglish
Published 01.09.2016
Subjects
不确定度
侵入
圆柱绕流
基准测试
多项式
度量化
数值模拟
混沌方法
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ISSN0256-307X
1741-3540
DOI10.1088/0256-307X/33/9/090501

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Summary:The uncertainty quantification of flows around a cylinder is studied by the non-intrusive polynomial chaos method. Based on the validation with benchmark results, discussions are mainly focused on the statistic properties of the peak lift and drag coefficients and base pressure drop over the cylinder with the uncertainties of viscosity coefficient and inflow boundary velocity. As for the numerical results of flows around a cylinder, influence of the inflow boundary velocity uncertainty is larger than that of viscosity. The results indeed demonstrate that a five-order degree of polynomial chaos expansion is enough to represent the solution of flow in this study.
Bibliography:The uncertainty quantification of flows around a cylinder is studied by the non-intrusive polynomial chaos method. Based on the validation with benchmark results, discussions are mainly focused on the statistic properties of the peak lift and drag coefficients and base pressure drop over the cylinder with the uncertainties of viscosity coefficient and inflow boundary velocity. As for the numerical results of flows around a cylinder, influence of the inflow boundary velocity uncertainty is larger than that of viscosity. The results indeed demonstrate that a five-order degree of polynomial chaos expansion is enough to represent the solution of flow in this study.
11-1959/O4
Yan-Jin Wang , Shu-Dao Zhang（ Institute of Applied Physics and Computational Mathematics, Beijing 100094）
ISSN:0256-307X
1741-3540
DOI:10.1088/0256-307X/33/9/090501