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Suzuki, Masahiro; Aoki, Yuto; Yamaguchi, Takashi; Machida, Masahiko; Miyamura, Hiroko; Okamoto, Koji
no journal, ,
In order to facilitate the full-scale implementation of fuel debris removal at the Tokyo Electric Power Fukushima Daiichi Nuclear Power Plant (hereinafter referred to as 1F), it is necessary to establish a safe access route within the highly radiation-intensive reactor building (hereinafter referred to as "R/B"). For the purpose of the establishment, it requires environmental improvements such as decontamination of highly-intensive radiation sources and shielding measures. Based on the radiation dose measurement data at the site, Japan Atomic Energy Agency (JAEA) has examined inverse estimation scheme of highly-intensive radiation sources and developed a system that incorporates not only virtual reality (VR) but also mixed reality (MR, AR) to evaluate the effectiveness of decontamination and shielding measures. This report presents an overview of the research and development achievements to date and introduces necessary efforts for enhancing functionality to ensure practical applications at 1F.
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.