PIV Uncertainty Methodologies for CFD Code Validation at the MIR Facility

Sabharwall, Piyush ; Skifton, Richard ; Stoots, Carl ; Kim, Eung Soo ; Conder, Thomas

Idaho National Laboratory

关键词: Matched Index Of Refraction;    Computational Fluid Dynamics;    Thermal - Hydraulics;    99 General And Miscellaneous Computational Fluid Dynamics;   

DOI  :  10.2172/1116742
RP-ID  :  INL/EXT-12-27728
RP-ID  :  DE-AC07-05ID14517
RP-ID  :  1116742

美国|英语

来源: UNT Digital Library

【 摘 要 】

Currently, computational fluid dynamics (CFD) is widely used in the nuclear thermal hydraulics field for design and safety analyses. To validate CFD codes, high quality multi dimensional flow field data are essential. The Matched Index of Refraction (MIR) Flow Facility at Idaho National Laboratory has a unique capability to contribute to the development of validated CFD codes through the use of Particle Image Velocimetry (PIV). The significance of the MIR facility is that it permits non intrusive velocity measurement techniques, such as PIV, through complex models without requiring probes and other instrumentation that disturb the flow. At the heart of any PIV calculation is the cross-correlation, which is used to estimate the displacement of particles in some small part of the image over the time span between two images. This image displacement is indicated by the location of the largest peak. In the MIR facility, uncertainty quantification is a challenging task due to the use of optical measurement techniques. Currently, this study is developing a reliable method to analyze uncertainty and sensitivity of the measured data and develop a computer code to automatically analyze the uncertainty/sensitivity of the measured data. The main objective of this study is to develop a well established uncertainty quantification method for the MIR Flow Facility, which consists of many complicated uncertainty factors. In this study, the uncertainty sources are resolved in depth by categorizing them into uncertainties from the MIR flow loop and PIV system (including particle motion, image distortion, and data processing). Then, each uncertainty source is mathematically modeled or adequately defined. Finally, this study will provide a method and procedure to quantify the experimental uncertainty in the MIR Flow Facility with sample test results.