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Tanaka, Masaaki
Keisan Kogaku Koenkai Rombunshu (CD-ROM), 22, 4 Pages, 2017/05
In the development of the simulation code and the numerical estimation for high cycle thermal fatigue on a structure caused by thermal striping phenomena in sodium cooled fast reactors, implementation of verification and validation (V&V) process is indispensable. A procedure named V2UP (Verification and Validation plus Uncertainty quantification and Prediction) has been made by referring to the existing guidelines regarding the V&V and the methodologies of the safety assessment. In this paper, a challenging installation of quality management procedures into the V2UP procedure is attempted based on the JSCES Standard for "A Model Procedure for Engineering Simulation".
Yamamoto, Shinya*; Sakurai, Hideyuki*; Onoe, Hironori; Masumoto, Kiyoshi*
no journal, ,
The result of groundwater flow simulation includes the epistemic uncertainty due to the limited hydrogeological data available. Ensemble-based data assimilation scheme can reduce the uncertainty. Additionally, the analysis result of the data assimilation gives useful information for the layout design of the groundwater monitoring. We showed that the layouts determined by the ensemble of the assimilated results in the synthetic experiments are effective in reducing the uncertainty of hydrogeological model.
Onodera, Naoyuki; Ohashi, Kunihide*
no journal, ,
Ship maneuverability under heavy weather is one of important themes for safety. In order to understand the detail of ship motion, it is necessary to carry out large scale gas-liquid-solid multiphase simulations. We have developed a CFD code based on LBM (Lattice Boltzmann Method) with a two-phase free-surface model. LBM accesses memory with a simple algorithm and is suitable for large-scale computations. The code is written in CUDA and tuned to achieve high performance on TSUBAME 2.5. The proposed two-phase model is based on a free-surface model, and both liquid and gas phases are independently time-integrated. We demonstrate a fluid-structure interaction problem by using a bulk carrier data. The simulation is executed with 700 
120 400 mesh, and numerical stabilities are confirmed with high density ratio.
Osakabe, Kazuya*; Masaki, Koichi; Miyamoto, Yuhei*; Katsumata, Genshichiro*; Katsuyama, Jinya
no journal, ,
Probabilistic fracture mechanics (PFM) analysis is a useful methodology for quantitative evaluation because failure probabilities can be calculated considering uncertainties of material properties. The recent studies about the classification of uncertainties of inputs for PFM analyses are introduced. In this paper, we describe overseas study on the handling of epistemic uncertainty and aleatory uncertainty in PFM analysis considering reliability.