The decontamination of high‐level radioactive nuclear storage tanks with complex internal devices poses critical challenges in nuclear decommissioning engineering. This study develops a computational fluid dynamics (CFD) framework integrating the volume of fluid–discrete phase model (VOF–DPM) with the Eulerian wall film model (EWFM) to systematically evaluate spray decontamination processes in a prototypical stainless steel tank. The analysis covers critical performance indicators including transient pressure distribution across serpentine pipe surfaces, spraying liquid coverage rate and the effectiveness of liquid film formation. The data offer valuable insights and references for nuclear decontamination engineering applications, which can be applied to estimate the minimum spraying cycle for the tank, provide cases for spraying point layout, and optimize process parameters.
Fei et al. (Thu,) studied this question.