Session Details
[2C01-08]Decommissioning Technology for Fukushima 1
Tue. Mar 17, 2020 10:00 AM - 12:10 PM JST
Tue. Mar 17, 2020 1:00 AM - 3:10 AM UTC
Tue. Mar 17, 2020 1:00 AM - 3:10 AM UTC
Room C Lecture Bildg. L 1F L-2
Chair:Hideharu Takahashi(Tokyo Tech)
[2C01]Radiation resistance of gel for debris coating
*Hiroaki Muta1, Kohki Hibino1, Yuji Ohishi1, Yoko Akiyama1 (1. Osaka Univ.)
[2C02]Study on Applicability of Grouting Materials for Retrieval of Fuel Debris
*Katsunori Kurozawa1, Shunichi Suzuki1 (1. Univ. of Tokyo)
[2C03]Piping system, risk management based on wall thinning monitoring and prediction - PYRAMID -(1)Evaluation of mass transfer coefficient and corrosion rate under solid-liquid multiphase flow
*Ryota Nakagawa1, Hiroshi Abe1, Yutaka Watanabe1 (1. Tohoku Univ)
[2C04]Piping system, risk management based on wall thinning monitoring and prediction - PYRAMID -(2)Experimental investigation of influence of solid particle properties upon a solid-liquid two-phase flow by flow visualization
*Shinji Ebara1 (1. Tohoku Univ.)
[2C05]Piping system, risk management based on wall thinning monitoring and prediction - PYRAMID -(3)Evaluation of Solid Particle Characteristic on Pipe Wall Thinning by Flow Accelerated Corrosion
*Shun Watanabe1, Ryo Morita1 (1. CRIEPI)
[2C06]Piping system, risk management based on wall thinning monitoring and prediction - PYRAMID -(4)Improvement of reliability of pipe wall thickness measuremnt by electromagnetic acoustic transducers
*Tetsuya Uchimoto1, Toshiyuki Takagi1, Hongjun Sun1, Ryoichi Urayama1, Akitoshi Tezuka1 (1. Tohoku Univ.)
[2C07]Piping system, risk management based on wall thinning monitoring and prediction - PYRAMID -(5)Roughness measurement based on frequency analysis of ultrasonic wave reflected on rough surface
*Hiroyuki Nakamoto1,3, Philippe Guy2, Toshiyuki Takagi3,4, Tetsuya Uchimoto3,4 (1. Kobe Univ., 2. INSA de Lyon, 3. Tohoku Univ., 4. ELyTMaX UMI 3757)
[2C08]Piping system, risk management based on wall thinning monitoring and prediction - PYRAMID -(6)Evaluation of Probability of Failure using Bayesian Method with multi-point piping inner surface monitoring
*Atsushi Iwasaki1, Shouta Sekizuka1 (1. Gunma Univ.)
