Taylor’s Hypothesis in High-order Turbulence Correlations

Zamir Koshuriyan; Sarah Stirrat; Adrian Sescu

Taylor’s Hypothesis in High-order Turbulence Correlations

Zamir Koshuriyan^*, Sarah Stirrat, Adrian Sescu

^*Corresponding author for this work

Mathematics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Taylor’s hypothesis states that a turbulence field will remain relatively ‘frozen’ within a flow, and as such evolve with respect to a convected variable. In this paper we show results from Large Eddy Simulations (LES) of a round jet at 4 operating points covering the parameter range of static temperature ratio (T R = 0.84, 1.0, 2.7) and acoustic Mach number (M a = 0.5, 0.9). Our results indicates that, remarkably, Taylor’s hypothesis provides an accurate estimation of the turbulence auto-correlation under an appropriate moving co-ordinate transformation.

Original language	English
Title of host publication	International Conference on Flow Dynamics
Number of pages	3
Publication status	Published - 6 Nov 2023
Event	International Conference on Flow Dynamics - Tohoku University, Sendai, Japan Duration: 6 Nov 2023 → 8 Nov 2023 https://www.ifs.tohoku.ac.jp/icfd/2023/

Conference

Conference	International Conference on Flow Dynamics
Abbreviated title	ICFD-20
Country/Territory	Japan
City	Sendai
Period	6/11/23 → 8/11/23
Internet address	https://www.ifs.tohoku.ac.jp/icfd/2023/

Bibliographical note

This is an author-produced version of the published paper. Uploaded in accordance with the University’s Research Publications and Open Access policy

Access to Document

ICFD_2023_Taylors
This is an author-produced version of the published paper. Uploaded in accordance with the University’s Research Publications and Open Access policy
Accepted author manuscript, 467 KBLicence: CC BY

Cite this

@inproceedings{223203e79bcd4d508cacec3a63d5df14,

title = "Taylor{\textquoteright}s Hypothesis in High-order Turbulence Correlations",

abstract = "Taylor{\textquoteright}s hypothesis states that a turbulence field will remain relatively {\textquoteleft}frozen{\textquoteright} within a flow, and as such evolve with respect to a convected variable. In this paper we show results from Large Eddy Simulations (LES) of a round jet at 4 operating points covering the parameter range of static temperature ratio (T R = 0.84, 1.0, 2.7) and acoustic Mach number (M a = 0.5, 0.9). Our results indicates that, remarkably, Taylor{\textquoteright}s hypothesis provides an accurate estimation of the turbulence auto-correlation under an appropriate moving co-ordinate transformation.",

author = "Zamir Koshuriyan and Sarah Stirrat and Adrian Sescu",

note = "This is an author-produced version of the published paper. Uploaded in accordance with the University{\textquoteright}s Research Publications and Open Access policy; International Conference on Flow Dynamics, ICFD-20 ; Conference date: 06-11-2023 Through 08-11-2023",

year = "2023",

month = nov,

day = "6",

language = "English",

booktitle = "International Conference on Flow Dynamics",

url = "https://www.ifs.tohoku.ac.jp/icfd/2023/",

}

TY - GEN

T1 - Taylor’s Hypothesis in High-order Turbulence Correlations

AU - Koshuriyan, Zamir

AU - Stirrat, Sarah

AU - Sescu, Adrian

N1 - This is an author-produced version of the published paper. Uploaded in accordance with the University’s Research Publications and Open Access policy

PY - 2023/11/6

Y1 - 2023/11/6

N2 - Taylor’s hypothesis states that a turbulence field will remain relatively ‘frozen’ within a flow, and as such evolve with respect to a convected variable. In this paper we show results from Large Eddy Simulations (LES) of a round jet at 4 operating points covering the parameter range of static temperature ratio (T R = 0.84, 1.0, 2.7) and acoustic Mach number (M a = 0.5, 0.9). Our results indicates that, remarkably, Taylor’s hypothesis provides an accurate estimation of the turbulence auto-correlation under an appropriate moving co-ordinate transformation.

AB - Taylor’s hypothesis states that a turbulence field will remain relatively ‘frozen’ within a flow, and as such evolve with respect to a convected variable. In this paper we show results from Large Eddy Simulations (LES) of a round jet at 4 operating points covering the parameter range of static temperature ratio (T R = 0.84, 1.0, 2.7) and acoustic Mach number (M a = 0.5, 0.9). Our results indicates that, remarkably, Taylor’s hypothesis provides an accurate estimation of the turbulence auto-correlation under an appropriate moving co-ordinate transformation.

M3 - Conference contribution

BT - International Conference on Flow Dynamics

T2 - International Conference on Flow Dynamics

Y2 - 6 November 2023 through 8 November 2023

ER -