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Journal Articles

Numerical simulation of thermal striping phenomena for fundamental validation and uncertainty quantification; Application of least square version GCI and area validation method to impinging jet in a T-Junction piping system

Tanaka, Masaaki

Proceedings of 12th International Topical Meeting on Nuclear Reactor Thermal-Hydraulics, Operation and Safety (NUTHOS-12) (USB Flash Drive), 14 Pages, 2018/10

A numerical simulation code MUGTHES has been developed to estimate high cycle thermal fatigue in SFRs. In development of numerical simulation code, verification, validation, and uncertainty quantification (VVUQ) are indispensable. In this study, numerical simulation at impinging jet condition in the WATLON experiment which was the water experiment of a T-junction piping system was performed for the fundamental validation. Based on the previous studies, the simplified least square version GCI method and the area validation metrics were employed as reference methods to quantify uncertainty and to measure the degree of difference between the numerical and the experimental results, respectively. Through the examinations, the potential applicability of the MUGTHES to the thermal striping phenomena was indicated and requirements of modification in the simulation was suggested in accordance with the uncertainty values.

Journal Articles

Numerical stability analysis of the Gaussian filtered Navier-Stokes equations

Ida, Masato; Taniguchi, Nobuyuki*

Nihon Ryutai Rikigakkai Nenkai 2004 Koen Rombunshu, p.122 - 123, 2004/08

The numerical stability of the Gaussian filtered Navier-Stokes equations is studied theoretically. Our recent theoretical results showed that for a large filter width, the linear shears in the time-averaged velocity fields numerically destabilize the fluctuation components because a numerically unstable term is derived by the Gaussian filtering operation. In this report we extend that numerical stability analysis based on an exact expansion series for the subgrid-scale stress terms and a numerical stability analysis of arbitrary-order spatial derivatives. The present investigation shows that numerically unstable terms can appear in many situations.

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