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research-article

A Method of Measuring Turbulent Flow Structures with Particle Image Velocimetry (PIV) and Incorporating into Boundary Conditions of Large Eddy Simulations

[+] Author and Article Information
Puxuan Li

Institute for Environmental Research, Mechanical and Nuclear Engineering Department, Kansas State University, Manhattan, Kansas 66506, USA
puxuanli@ksu.edu

Steve Eckels

Institute for Environmental Research, Mechanical and Nuclear Engineering Department, Kansas State University, Manhattan, Kansas 66506, USA
eckels@ksu.edu

Garrett Mann

Institute for Environmental Research, Mechanical and Nuclear Engineering Department, Kansas State University, Manhattan, Kansas 66506, USA
gmann@ksu.edu

Ning Zhang

Department of Chemical, Civil and Mechanical Engineering, McNeese State University, Lake Charles, Louisiana 70609, USA
nzhang@mcneese.edu

1Corresponding author.

ASME doi:10.1115/1.4039256 History: Received January 23, 2017; Revised November 22, 2017

Abstract

The setup of inlet conditions for a Large Eddy Simulation (LES) is a complex and important problem. Normally there are two methods to generate the inlet conditions for LES, i.e. synthesized turbulence methods and precursor simulation methods. This study presents a new method for determining inlet boundary conditions of LES using particle image velocimetry (PIV). LES shows sensitivity to inlet boundary conditions in the developing region, and this effect can even extend into the fully developed region of the flow. Two kinds of boundary conditions generated from PIV data, i.e. steady spatial distributed inlet (SSDI) and unsteady spatial distributed inlet (USDI), are studied. PIV provides valuable field measurement,but special care is needed to estimate turbulent kinetic energy and turbulent dissipation rate for SSDI. Correlation coefficients are used to analyze the autocorrelation of the PIV data. Different boundary conditions have different influences on LES, and their advantages and disadvantages for turbulence prediction and static pressure prediction are discussed in the paper. Two kinds of LES with different sub-grid turbulence models are evaluated: namely Dynamic Smagorinsky-Lilly Model (Lilly model) and Wall Modeled Large Eddy Simulation (WMLES model). The performance of these models for flow prediction in a square duct are presented. Furthermore, the LES results are compared with PIV measurement results and Reynolds-Stress Model (RSM) results at a downstream location for validation.

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