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Zheng, X.; 石川 淳; 杉山 智之; 丸山 結
Nuclear Engineering and Technology, 49(2), p.434 - 441, 2017/03
被引用回数：4 パーセンタイル：36.71(Nuclear Science & Technology)Containment venting is one of essential measures to protect the integrity of the final barrier of a nuclear reactor during severe accidents, by which the uncontrollable release of fission products can be avoided. The authors seek to develop an optimization approach, from a simulation-based perspective, to the venting operations by using an integrated severe accident code, THALES2/KICHE. The effectiveness of containment venting strategies needs to be verified via numerical simulations based on various settings of venting conditions. The number of iterations, however, needs to be controlled for cumbersome computational burden of integrated codes. Bayesian optimization is an efficient global optimization approach. By using Gaussian process regression, a surrogate model of the "black-box" code is constructed. It can be updated simultaneously whenever new simulation results are acquired. With predictions via the surrogate model, upcoming locations of the most probable optimum can be revealed. The sampling procedure is adaptive. The number of code queries is largely reduced for the optimum finding, compared with pure random searches. One typical severe accident scenario of a boiling water reactor is chosen as an example. The research demonstrates the applicability of the Bayesian optimization approach to the design and establishment of containment-venting strategies during severe accidents.
Zheng, X.; 石川 淳; 杉山 智之; 丸山 結
Proceedings of 13th Probabilistic Safety Assessment and Management Conference (PSAM-13) (USB Flash Drive), 10 Pages, 2016/10
Containment venting is one of essential measures to protect the integrity of the final barrier of a nuclear reactor, by which the uncontrollable release of fission products can be avoided. The authors seek to develop an optimization approach to the planning of containment-venting operations by using THALES2/KICHE. Factors that control the activation of the venting system, for example, containment pressure, amount of fission products within the containment and pH value in the suppression chamber water pool, will affect radiological consequences. The effectiveness of containment venting strategies needs to be confirmed through numerical simulations. The number of iterations, however, needs to be controlled for cumbersome computational burden of severe accident codes. Bayesian optimization is a computationally efficient global optimization approach to find desired solutions. With the use of Gaussian process regression, a surrogate model of the "black-box" code is constructed. According to the predictions through the surrogate model, the upcoming location of the most probable optimum can be revealed. The number of code queries is largely reduced for the optimum finding, compared with simpler methods such as pure random search. The research demonstrates the applicability of the Bayesian optimization approach to the design and establishment of containment-venting strategies under BWR severe accident conditions.
塩津 弘之; 石川 淳; 丸山 結
Proceedings of 23rd International Conference on Nuclear Engineering (ICONE-23) (DVD-ROM), 6 Pages, 2015/05
In order to evaluate the effect of chemical forms of Cs and I on source terms and solution pH in a severe accident of a BWR, parametric analysis was performed with an integral severe accident code, THALES2, developed by JAEA. In the present analysis, THALES2 code was modified to take into account CsOH, Cs
MoO
and CsBO as Cs chemical forms, and CsI and HI as I chemical forms. The severe accident sequence examined was similar to that occurred at unit 3 of the Fukushima Dai-ichi NPP. Due to the effective scrubbing, approximately 90% of the initial core inventory of Cs and I was predicted to be retained in the water pool of the suppression chamber, resulting in limited influence of Cs chemical form on Cs source term. On the other hand, the present analysis indicated that solution pH of the water pool was strongly affected by chemical forms of Cs and I. This outcome implies that chemical forms of Cs and I influence I source term since the formation of volatile I species such as I2 and organic iodine in the water pool depends strongly on solution pH.
石川 淳; 伊藤 裕人; 丸山 結
Proceedings of 23rd International Conference on Nuclear Engineering (ICONE-23) (DVD-ROM), 6 Pages, 2015/05
Two tests performed in the THAI-2 project of the OECD/NEA on the adsorption of molecular iodine onto chemically inactive and active aerosols were analyzed with ART code for analysis of transportation of radioactive materials during a severe accident in order mainly to estimate adsorption velocities of I onto the aerosols. The results of the analysis for aerosol characteristics including airborne concentration and size distribution were reasonably agreed with the measured tendencies. The total surface areas of the aerosols, contributing to physisorption and chemisorption of I, were evaluated to be comparable with the surface area of the THAI test vessel wall. It was found that, giving the adsorption velocity onto aerosol at 10
through 10
m/s, the decreasing tendency in the airborne concentration of I was well reproduced for the test with chemically inactive aerosol. The present analysis also indicated that the adsorption velocity in the test with chemically active aerosol was estimated to be larger than that in the test with chemically inactive aerosol by two orders.
