Database for corrosion under irradiation conditions (Contract research)

Sato, Tomonori; Hata, Kuniki; Kaji, Yoshiyuki; Ueno, Fumiyoshi; Inoue, Hiroyuki*; Taguchi, Mitsumasa*; Seito, Hajime*; Tada, Eiji*; Abe, Hiroshi*; Akiyama, Eiji*; et al.

JAEA-Review 2021-001, 123 Pages, 2021/06

JAEA-Review-2021-001.pdf:10.33MB

In the implement of the decommissioning of Fukushima Daiichi Nuclear Power Station (1F), there are many problems to be solved. Specially, the mitigation of the aging degradation by the corrosion of the structural materials is important to implement the decommissioning safely and continuously. However, there are limited data for the environmental factors of corrosion in 1F, and the condition of 1F is continuously changing. So, the literature data for the water radiolysis and the corrosion under irradiation are listed as the database of corrosion under irradiation in this report. And the new obtained radiolysis and corrosion data, which have not been reported in the literature and will be required in the decommissioning of 1F, are reported.

Design and construction of -rays irradiation facility for remote-handling parts and components of fusion reactor

Yagi, Toshiaki; Morita, Yosuke; Seguchi, Tadao

JAERI-Tech 95-015, 30 Pages, 1995/03

JAERI-Tech-95-015.pdf:1.33MB

no abstracts in English

The Electric installation at environment of nuclear fusion, 55; Development of a radiation resistance insulation constructional material

Izumi, Keisuke*; Iguchi, Masayuki*; Iida, Shinji*; Kawasaki, Masaji*; Okawa, Yoshinao*; Oka, Kiyoshi; Yamagata, Ryohei

no journal, , 

no abstracts in English

Summary of development of corrosion database under radiation environment

Kaji, Yoshiyuki; Sato, Tomonori; Hata, Kuniki; Inoue, Hiroyuki*; Taguchi, Mitsumasa*; Seito, Hajime*; Tada, Eiji*; Abe, Hiroshi*; Akiyama, Eiji*; Suzuki, Shunichi*

no journal, , 

Risk of corrosion degradation for plant materials in Fukushima-Daiichi Nuclear Power Plant (1F) site have been increasing with time duration and/or environmental changes by decommissioning procedure. We will build the corrosion and radiolysis database in irradiated condition including estimating data area for 1F corrosion in this project. In this presentation, we will describe summary of this project.

Development of corrosion database under radiation environment, 1; Overview

Kaji, Yoshiyuki; Sato, Tomonori; Hata, Kuniki; Inoue, Hiroyuki*; Taguchi, Mitsumasa*; Seito, Hajime*; Tada, Eiji*; Abe, Hiroshi*; Akiyama, Eiji*; Suzuki, Shunichi*

no journal, , 

Since risk of corrosion degradation for plant materials in Fukushima-Daiichi Power Plant (1F) site have been increasing with time duration and/or environmental changes by decommissioning procedure, we will build a corrosion and radiolysis database in irradiated condition including estimating data area for 1F corrosion. In this presentation, we describe the overview of this project.

Aiming to elucidate corrosion phenomenon under irradiation environment

Kaji, Yoshiyuki; Sato, Tomonori; Hata, Kuniki; Inoue, Hiroyuki*; Taguchi, Mitsumasa*; Seito, Hajime*; Tada, Eiji*; Abe, Hiroshi*; Akiyama, Eiji*; Suzuki, Shunichi*

no journal, , 

Since risk of corrosion degradation for plant materials in Fukushima-Daiichi Power Plant (1F) site have been increasing with time duration and/or environmental changes by decommissioning procedure, we will build a corrosion and radiolysis database in irradiated condition including estimating data area for 1F corrosion. In this presentation, we describe the overview of this project results as a facility sharing excellence award winning lecture in the Takasaki Advanced Radiation Research Institute of National Institutes for Quantum and Radiological Science and Technology.

Development of a PHITS simulation technique and a numerical method to optimize measures against radioactive sources

Furutachi, Naoya*; Yoshida, Toru*; Yanagi, Hideaki*; Hasegawa, Yukihiro*; Machida, Masahiko

no journal, , 

We developed a system called 3D-ADRES-Indoor for evaluating radiation doses in indoor environments, focusing on estimating radioactive source distributions using machine learning and planning measures against these sources. The system utilizes the Particle and Heavy Ion Transport code System (PHITS) for dose rate calculations. We introduced a simulation technique and a numerical method to improve planning efficiency. By decomposing dose rates and using specific models, our technique significantly reduces computational times compared to normal simulations. We incorporated four measures against radioactive sources: decontamination, removal, relocation, and shielding. For decontamination, we optimized rates for each source to achieve target doses at minimum cost using Particle Swarm Optimization. Users can set these measures through a user-friendly interface, enabling various simulations and enhancing planning flexibility in 3D-ADRES-Indoor.