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Ishikuro, Yasuhiro; Wada, Shigeru
UTNL-R-0494, p.6_1 - 6_14, 2017/03
no abstracts in English
Itagaki, Wataru; Noguchi, Koichi; Endo, Norio; Nakamura, Toshiyuki; Ashida, Takashi; Saito, Takakazu; Someya, Hiroyuki*; Tomine, Hiroshi*; Kato, Jun*; Gunji, Masakatsu*
no journal, ,
no abstracts in English
Ho, H. Q.; Honda, Yuki; Goto, Minoru; Takada, Shoji; Ishitsuka, Etsuo
no journal, ,
Coated fuel particles (CFPs) play an important role to the passive safety feature of the high temperature engineering test reactor (HTTR). However, random distribution of the CFPs also makes the simulation become more difficult and therefore affects the quality of the HTGR benchmark assessment. The highly accurate calculation enables the design of a commercial HTGR to operate with low cost and high performance. The purpose of this study was to develop MCNP model for the HTTR by using the explicit random model, namely Realized Random Packing (RRP), to improve the accuracy of the benchmark assessment. The RRP model was validated by comparing with the conventional uniform model as well as the experimental data. The neutronic and criticality calculations were performed by using MCNP6 code with ENDF/B-VII.1 nuclear data library.
Hamamoto, Shimpei; Sawahata, Hiroaki; Suzuki, Hisashi; Ishii, Toshiaki; Yanagida, Yoshinori
no journal, ,
no abstracts in English
Kai, Takeshi
no journal, ,
Particle transport codes such as PHITS can calculate energy deposition in living system, however, it is impossible to analyze radiation interaction in nano-scale because the codes cannot simulate microscopic behavior of low energy electrons. We have developed a simulation code which can simulate the behavior. In this presentation, we explain the calculation methods of electron collision cross section as well as the electron behavior in water. We also show the results for a primary electron transport and secondary electrons deceleration. From the results, we perform DNA damage prediction involved in the low energy electrons. We found novel complex DNA damage mechanism which induces radiation biological effect such as cell death or mutation. We also present an implementation of the code into PHITS and future plans for the functional extension of PHITS.