Uncertainty Quantification of Numerical Simulation of Flows around a Cylinder Using Non-intrusive Polynomial Chaos
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Abstract
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.
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Yan-Jin Wang, Shu-Dao Zhang. Uncertainty Quantification of Numerical Simulation of Flows around a Cylinder Using Non-intrusive Polynomial Chaos[J]. Chin. Phys. Lett., 2016, 33(9): 090501. DOI: 10.1088/0256-307X/33/9/090501
Yan-Jin Wang, Shu-Dao Zhang. Uncertainty Quantification of Numerical Simulation of Flows around a Cylinder Using Non-intrusive Polynomial Chaos[J]. Chin. Phys. Lett., 2016, 33(9): 090501. DOI: 10.1088/0256-307X/33/9/090501
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Yan-Jin Wang, Shu-Dao Zhang. Uncertainty Quantification of Numerical Simulation of Flows around a Cylinder Using Non-intrusive Polynomial Chaos[J]. Chin. Phys. Lett., 2016, 33(9): 090501. DOI: 10.1088/0256-307X/33/9/090501
Yan-Jin Wang, Shu-Dao Zhang. Uncertainty Quantification of Numerical Simulation of Flows around a Cylinder Using Non-intrusive Polynomial Chaos[J]. Chin. Phys. Lett., 2016, 33(9): 090501. DOI: 10.1088/0256-307X/33/9/090501
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