Piping systems in a nuclear plant can be damaged by high-cycle fatigue due to acoustic-induced  
vibration. Moreover, if the frequency of the vibration in the piping system is overlapped with a  
natural frequency of the piping, the magnitude of the amplitude will be increased resulting in many  
problems. For example, the damage is considered as flow-induced acoustic resonance at the  
branch pipes of the safety relief valve in the main steam lines. This study has investigated the  
Computational Fluid Dynamics (CFD) analysis methodology to predict and quantify the vortex  
shedding frequencies and the pressure pulsation magnitude in the dead-end piping system. In  
order to estimate the vortex shedding vibration, a high level turbulent models should be applied.  
Such a turbulent model, however, requires a huge amount of computing time. Therefore, the  
purpose of the study is to investigate the effects of the main pipe length, the sub-layer inflation  
rate, and the number of branches on the vortex shedding frequency and pressure pulsation  
magnitude. The results for the effects will be able to reduce the size of the fluid domain so that  
the computing time can be significantly decreased in using the high resolution turbulent models.  
Keywords: vortex shedding frequency, acoustic vibration, flow-induced acoustic resonance,  
Computational Fluid Dynamics, dead-end pipe


Feasibility Study for Flow-Induced Vibration in Stud Pipe Using Computational Fluid Dynamics

Division / Sponsors: 
Heat Transfer Division (HTD), Fluids Engineering Division (FED)

Heat Transfer Summer Conference
Paper Proceedings: https://asmedigitalcollection.asme.org/HT/HT2020/volume/83709

18th International Conference on Nanochannels, Microchannels, and Minichannels
Paper Proceedings: https://asmedigitalcollection.asme.org/ICNMM/ICNMM2020/volume/83693

Fluids Engineering Division Summer Meeting
Paper Proceedings: https://asmedigitalcollection.asme.org/FEDSM/FEDSM2020/volume/83716

HT-ICNMM2020 - Virtual Conference, SHTC - Virtual Conference, FEDSM2020 - Virtual Conference

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