多視点画像を用いた流動計測及び解析手法の開発

抄録

Pool scrubbing is a critical measure employed during severe accidents at nuclear power plants to mitigate the release of fission products (FP) into the environment. It involves passing gas containing FP through a liquid filter before its release during depressurization. Accurately predicting the efficiency of FP removal through pool scrubbing is essential for realistic Probabilistic Risk Analysis (PRA) and requires a deep understanding of gas-liquid two-phase flow phenomena. This study aims to develop novel techniques for obtaining comprehensive insights into these complex phenomena. In this work, a new approach utilizing multi-view imaging is being developed to acquire three-dimensional (3D) two-phase flow data. The study also focuses on the development of a machine-learning based two-phase flow simulation and a methodology to incorporate the acquired 3D flow data into the calculation. By integrating this data-driven approach, the developed techniques will contribute to the improvement of the PRA methodologies by providing a thorough understanding of gas-liquid two-phase flow phenomena.