2023 Fall Meeting

Presentation information

Oral presentation

V. Nuclear Fuel Cycle and Nuclear Materials » 503-1 Reactor Chemistry, Radiation Chemistry, Corrosion, Water Chemistry,Water Quality Control

[1A01-04] Radiolysis, Corrosion 1

Wed. Sep 6, 2023 2:45 PM - 3:50 PM Room A (IB Bildg.1F IB013)

Chair:Hiroshi Abe(Tohoku Univ.)

3:15 PM - 3:30 PM

[1A03] Machine learning analysis of piping dose rate and water chemistry parameters in Japanese BWRs

*Gaku Yamazaki1, Kazutoshi Fujiwara1 (1. CRIEPI)

Keywords:Machine learning, Radiation dose reduction, Piping dose rate, Water chemistry, Boiling water reactor

To develop a new water chemistry technique for reducing radioactive sources, the relationship between the piping dose rate and water chemistry parameters for Japanese BWRs was investigated. Machine learning was used to quantify the effect of each water chemistry parameter on the piping dose rate. The results suggested that the concentrations of the condensed filter Fe crud and the reactor water 54Mn crud, 60Co crud, and 131I are somehow related to the piping dose rate.

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