Numerical simulation of thermal striping phenomena in a T-junction piping system for fundamental validation and uncertainty quantification by GCI estimation

Thermal striping caused by the mixing of fluids at different temperatures is one of the most important issues in the design of Sodium cooled Fast Reactors (SFRs), because it may cause high-cycle thermal fatigue in the structure and affect the structural integrity. A numerical simulation code named M...

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Autores principales:	Masaaki TANAKA, Yasuhiro MIYAKE
Formato:	article
Lenguaje:	EN
Publicado:	The Japan Society of Mechanical Engineers 2015
Materias:	code validation grid convergence index (gci) uncertainty quantification thermal striping t-junction piping system large eddy simulation Mechanical engineering and machinery TJ1-1570
Acceso en línea:	https://doaj.org/article/fcf5b1786ffb4c12b3248be3954fd014
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spelling	oai:doaj.org-article:fcf5b1786ffb4c12b3248be3954fd0142021-11-26T06:30:10ZNumerical simulation of thermal striping phenomena in a T-junction piping system for fundamental validation and uncertainty quantification by GCI estimation2187-974510.1299/mej.15-00134https://doaj.org/article/fcf5b1786ffb4c12b3248be3954fd0142015-07-01T00:00:00Zhttps://www.jstage.jst.go.jp/article/mej/2/5/2_15-00134/_pdf/-char/enhttps://doaj.org/toc/2187-9745Thermal striping caused by the mixing of fluids at different temperatures is one of the most important issues in the design of Sodium cooled Fast Reactors (SFRs), because it may cause high-cycle thermal fatigue in the structure and affect the structural integrity. A numerical simulation code named MUGTHES has been developed to investigate thermal striping phenomena and to estimate high-cycle thermal fatigue in SFRs. In this study, the numerical simulation of the WATLON which was a water experiment of the T-junction piping system conducted by the Japan Atomic Energy Agency (JAEA) was conducted to validate the MUGTHES as a typical problem of thermal striping and to investigate the temperature fluctuation generation mechanism relating to the unsteady motion of large eddy structures. In the numerical simulation, an approach using the large eddy simulation (LES) with the standard Smagorinsky model was employed to simulate large scale eddy motions in the T-pipe. To quantify the uncertainty of the numerical results, the Grid Convergence Index (GCI) estimation was examined using two modified methods from the Roache’s GCI method described in the ASME V&V-20 guideline and the Eça-Hoekstra’s least square version GCI. The modified least square version GCI was named SLS-GCI (Simplified Least Square version GCI estimation method). Three mesh arrangements were employed to estimate the GCI value for uncertainty quantification in the validation process. Through the GCI estimation, it was found that the SLS-GCI method could successfully quantify the uncertainty of the numerical results. The numerical results suggested that the fine mesh arrangement in this study could improve the temperature distribution in the wake and that the thermal mixing phenomena in the T-pipe were caused by the mutual interaction of the necklace-shaped vortex around the wake from the front of the branch jet, the horseshoe-shaped vortex, and Karman’s vortex motions in the wake.Masaaki TANAKAYasuhiro MIYAKEThe Japan Society of Mechanical Engineersarticlecode validationgrid convergence index (gci)uncertainty quantificationthermal stripingt-junction piping systemlarge eddy simulationMechanical engineering and machineryTJ1-1570ENMechanical Engineering Journal, Vol 2, Iss 5, Pp 15-00134-15-00134 (2015)
institution	DOAJ
collection	DOAJ
language	EN
topic	code validation grid convergence index (gci) uncertainty quantification thermal striping t-junction piping system large eddy simulation Mechanical engineering and machinery TJ1-1570
spellingShingle	code validation grid convergence index (gci) uncertainty quantification thermal striping t-junction piping system large eddy simulation Mechanical engineering and machinery TJ1-1570 Masaaki TANAKA Yasuhiro MIYAKE Numerical simulation of thermal striping phenomena in a T-junction piping system for fundamental validation and uncertainty quantification by GCI estimation
description	Thermal striping caused by the mixing of fluids at different temperatures is one of the most important issues in the design of Sodium cooled Fast Reactors (SFRs), because it may cause high-cycle thermal fatigue in the structure and affect the structural integrity. A numerical simulation code named MUGTHES has been developed to investigate thermal striping phenomena and to estimate high-cycle thermal fatigue in SFRs. In this study, the numerical simulation of the WATLON which was a water experiment of the T-junction piping system conducted by the Japan Atomic Energy Agency (JAEA) was conducted to validate the MUGTHES as a typical problem of thermal striping and to investigate the temperature fluctuation generation mechanism relating to the unsteady motion of large eddy structures. In the numerical simulation, an approach using the large eddy simulation (LES) with the standard Smagorinsky model was employed to simulate large scale eddy motions in the T-pipe. To quantify the uncertainty of the numerical results, the Grid Convergence Index (GCI) estimation was examined using two modified methods from the Roache’s GCI method described in the ASME V&V-20 guideline and the Eça-Hoekstra’s least square version GCI. The modified least square version GCI was named SLS-GCI (Simplified Least Square version GCI estimation method). Three mesh arrangements were employed to estimate the GCI value for uncertainty quantification in the validation process. Through the GCI estimation, it was found that the SLS-GCI method could successfully quantify the uncertainty of the numerical results. The numerical results suggested that the fine mesh arrangement in this study could improve the temperature distribution in the wake and that the thermal mixing phenomena in the T-pipe were caused by the mutual interaction of the necklace-shaped vortex around the wake from the front of the branch jet, the horseshoe-shaped vortex, and Karman’s vortex motions in the wake.
format	article
author	Masaaki TANAKA Yasuhiro MIYAKE
author_facet	Masaaki TANAKA Yasuhiro MIYAKE
author_sort	Masaaki TANAKA
title	Numerical simulation of thermal striping phenomena in a T-junction piping system for fundamental validation and uncertainty quantification by GCI estimation
title_short	Numerical simulation of thermal striping phenomena in a T-junction piping system for fundamental validation and uncertainty quantification by GCI estimation
title_full	Numerical simulation of thermal striping phenomena in a T-junction piping system for fundamental validation and uncertainty quantification by GCI estimation
title_fullStr	Numerical simulation of thermal striping phenomena in a T-junction piping system for fundamental validation and uncertainty quantification by GCI estimation
title_full_unstemmed	Numerical simulation of thermal striping phenomena in a T-junction piping system for fundamental validation and uncertainty quantification by GCI estimation
title_sort	numerical simulation of thermal striping phenomena in a t-junction piping system for fundamental validation and uncertainty quantification by gci estimation
publisher	The Japan Society of Mechanical Engineers
publishDate	2015
url	https://doaj.org/article/fcf5b1786ffb4c12b3248be3954fd014
work_keys_str_mv	AT masaakitanaka numericalsimulationofthermalstripingphenomenainatjunctionpipingsystemforfundamentalvalidationanduncertaintyquantificationbygciestimation AT yasuhiromiyake numericalsimulationofthermalstripingphenomenainatjunctionpipingsystemforfundamentalvalidationanduncertaintyquantificationbygciestimation
_version_	1718409820140208128

Numerical simulation of thermal striping phenomena in a T-junction piping system for fundamental validation and uncertainty quantification by GCI estimation

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