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Journal Articles

Lattice Boltzmann simulation of solution chemistry for crevice corrosion

Ebihara, Kenichi; Kaburaki, Hideo

Mathematics and Computers in Simulation, 72(2-6), p.117 - 123, 2006/09

 Times Cited Count:0 Percentile:0.01(Computer Science, Interdisciplinary Applications)

This paper summarizes the presentation at the "14th International Conference on Discrete Simulation of Fluid Dynamics in Complex Systems" which was opened at Kyoto in August, 2005. We applied the two-dimensional lattice Boltzmann method (2DLBM) to the simulation of solution chemistry for crevice corrosion. The 2D distributions of pH and electric potential were obtained by the numerical simulation. The critical value of pH which brings about the rapid crevice corrosion and the incubation period until the solution reaches this pH were estimated from the simulation results. It was found that the estimated pH and incubation period were in nearly agreement with experiment.

Journal Articles

Nuclear reactor monitoring with the combination of neural network and expert system

Nabeshima, Kunihiko; Suzudo, Tomoaki; Ono, Tomio*; Kudo, Kazuhiko*

Mathematics and Computers in Simulation, 60(3-5), p.233 - 244, 2002/09

 Times Cited Count:15 Percentile:69.77(Computer Science, Interdisciplinary Applications)

This study presents a hybrid monitoring system for nuclear reactor utilizing neural networks and a rule-based real-time expert system. The whole monitoring system including a data acquisition system and the advisory displays has been tested by an on-line simulator of pressurized water reactor. From the testing results, it was shown that the neural network in the monitoring system successfully modeled the plant dynamics and detected the symptoms of anomalies earlier than the conventional alarm system. The real-time expert system also worked satisfactorily in diagnosing and displaying the system status by using the outputs of neural networks and a priori knowledge base.

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