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Journal Articles

Development of a surrogate system of a plant dynamics simulation model and an abnormal situation identification system for nuclear power plants using deep neural networks

Seki, Akiyuki; Yoshikawa, Masanori; Nishinomiya, Ryota*; Okita, Shoichiro; Takaya, Shigeru; Yan, X.

Nuclear Technology, 12 Pages, 2024/00

 Times Cited Count:0 Percentile:0.18(Nuclear Science & Technology)

Two types of deep neural network (DNN) systems have been constructed with the intent to assist safety operation of a nuclear power plant. One is a surrogate system (SS) that can estimate physical quantities of a nuclear power plant in a computational time of several orders less than a physical simulation model. The other is an abnormal situation identification system (ASIS) that can estimate the state of the disturbance causing an anomaly from physical quantities of a nuclear power plant. Both systems are trained and tested using data obtained from the analytical code for incore and plant dynamics (ACCORD), which reproduces the steady and dynamic behavior of the actual high Temperature engineering test reactor (HTTR) under various scenarios. The DNN models are built by adjusting, the main hyperparameters. Through these procedures, these systems are shown able to perform with a high degree of accuracy.

Journal Articles

Residual stress mapping on ultrasonic shot peened dissimilar weld joint before- and after- thermal loading

Akita, Koichi; Suzuki, Hiroshi; Nishikawa, Satoru*; Okita, Shigeru*

Nihon Zairyo Gakkai Dai-61-Ki Tsujo Sokai, Gakujutsu Koenkai Rombunshu (USB Flash Drive), 2 Pages, 2012/05

Residual stresses on the surface and inside of ultrasonic shot peened dissimilar weld joint were measured using X-ray and neutron diffraction before and after thermal loading. Mechanism of residual stress relaxation due to thermal loading was discussed.

Oral presentation

Consideration for long-term storage of a spent zeolite adsorption vessel, 10; Experiment of adsorption distribution of non-radioactive cesium in a spent zeolite adsorption vessel, SARRY

Sato, Hiroyuki; Kimura, Shigeru; Yamagishi, Isao; Ikeda, Akira*; Okita, Takeshi*

no journal, , 

As a part of consideration for long-term storage of a spent zeolite adsorption vessel in the Fukushima Daiichi Nuclear Power Plant, experiment of non-radioactive Cesium adsorbed distribution in vessel was carried out to estimate inner environment (radiation and decay heat by radioactive Cesium) effected to corrosion in SARRY, using actual sized model of SARRY adsorption vessel.

Oral presentation

Development of countermeasure proposal system using deep reinforcement learning

Yoshikawa, Masanori; Seki, Akiyuki; Okita, Shoichiro; Takaya, Shigeru; Yan, X.

no journal, , 

Oral presentation

Development of AI system to support safety operation of nuclear power plants

Seki, Akiyuki; Yoshikawa, Masanori; Okita, Shoichiro; Takaya, Shigeru; Yan, X.

no journal, , 

Oral presentation

Development of countermeasure proposal system using deep reinforcement learning

Yoshikawa, Masanori; Seki, Akiyuki; Okita, Shoichiro; Takaya, Shigeru; Yan, X.

no journal, , 

Oral presentation

Hyperparameter survey on learning of countermeasure proposal system

Yoshikawa, Masanori; Seki, Akiyuki; Okita, Shoichiro; Takaya, Shigeru; Yan, X.

no journal, , 

Oral presentation

Improvement to plant dynamics analysis code surrogate system and related anomaly identification system utilizing time series data

Seki, Akiyuki; Yoshikawa, Masanori; Okita, Shoichiro; Takaya, Shigeru; Yan, X.

no journal, , 

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