Investigation of Orthogonal Modes in High-speed Axisymmetric Jet Turbulence: Instantaneous vs. Statistical Data

Sadaf Arabi; Zamir Koshuriyan; Adrian Sescu

Investigation of Orthogonal Modes in High-speed Axisymmetric Jet Turbulence: Instantaneous vs. Statistical Data

Sadaf Arabi, Zamir Koshuriyan^*, Adrian Sescu

^*Corresponding author for this work

Mathematics

Research output: Contribution to conference › Paper › peer-review

Abstract

We investigate orthogonal turbulence modes in a high-speed axisymmetric jet via the S-POD algorithm. We use S-POD as a barometer to gauge the energy content of the turbulence measured by its statistics vs. instantaneous flow data. Our results show that the statistics possesses modes with uniform energy distribution at low frequencies bounded by a ratio of modal energies much greater than unity, indicating that most of the auto-covariance energy is contained within a short temporal neighborhood about its auto-correlation amplitude

Original language	English
Pages	1-4
Number of pages	4
Publication status	Published - 18 Nov 2024
Event	Twenty-first International Conference on Flow Dynamics, November 18 - 20, 2024, Sendai International Center, Sendai, Miyagi, Japan. - Japan, Sendai, Japan Duration: 18 Nov 2024 → 20 Nov 2024 https://www.ifs.tohoku.ac.jp/icfd/2024/

Conference

Conference	Twenty-first International Conference on Flow Dynamics, November 18 - 20, 2024, Sendai International Center, Sendai, Miyagi, Japan.
Abbreviated title	ICFD-2024
Country/Territory	Japan
City	Sendai
Period	18/11/24 → 20/11/24
Internet address	https://www.ifs.tohoku.ac.jp/icfd/2024/

Access to Document

ICFD_2024_S_POD (Arabi+Koshuriyan+Sescu 2024)Accepted author manuscript, 1.97 MBLicence: Unspecified

Cite this

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title = "Investigation of Orthogonal Modes in High-speed Axisymmetric Jet Turbulence: Instantaneous vs. Statistical Data",

abstract = "We investigate orthogonal turbulence modes in a high-speed axisymmetric jet via the S-POD algorithm. We use S-POD as a barometer to gauge the energy content of the turbulence measured by its statistics vs. instantaneous flow data. Our results show that the statistics possesses modes with uniform energy distribution at low frequencies bounded by a ratio of modal energies much greater than unity, indicating that most of the auto-covariance energy is contained within a short temporal neighborhood about its auto-correlation amplitude",

author = "Sadaf Arabi and Zamir Koshuriyan and Adrian Sescu",

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note = "Twenty-first International Conference on Flow Dynamics, November 18 - 20, 2024, Sendai International Center, Sendai, Miyagi, Japan., ICFD-2024 ; Conference date: 18-11-2024 Through 20-11-2024",

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Investigation of Orthogonal Modes in High-speed Axisymmetric Jet Turbulence: Instantaneous vs. Statistical Data. / Arabi, Sadaf ; Koshuriyan, Zamir; Sescu, Adrian.
2024. 1-4 Paper presented at Twenty-first International Conference on Flow Dynamics, November 18 - 20, 2024, Sendai International Center, Sendai, Miyagi, Japan., Sendai, Japan.

Research output: Contribution to conference › Paper › peer-review

TY - CONF

T1 - Investigation of Orthogonal Modes in High-speed Axisymmetric Jet Turbulence: Instantaneous vs. Statistical Data

AU - Arabi, Sadaf

AU - Koshuriyan, Zamir

AU - Sescu, Adrian

PY - 2024/11/18

Y1 - 2024/11/18

N2 - We investigate orthogonal turbulence modes in a high-speed axisymmetric jet via the S-POD algorithm. We use S-POD as a barometer to gauge the energy content of the turbulence measured by its statistics vs. instantaneous flow data. Our results show that the statistics possesses modes with uniform energy distribution at low frequencies bounded by a ratio of modal energies much greater than unity, indicating that most of the auto-covariance energy is contained within a short temporal neighborhood about its auto-correlation amplitude

AB - We investigate orthogonal turbulence modes in a high-speed axisymmetric jet via the S-POD algorithm. We use S-POD as a barometer to gauge the energy content of the turbulence measured by its statistics vs. instantaneous flow data. Our results show that the statistics possesses modes with uniform energy distribution at low frequencies bounded by a ratio of modal energies much greater than unity, indicating that most of the auto-covariance energy is contained within a short temporal neighborhood about its auto-correlation amplitude

M3 - Paper

SP - 1

EP - 4

T2 - Twenty-first International Conference on Flow Dynamics, November 18 - 20, 2024, Sendai International Center, Sendai, Miyagi, Japan.

Y2 - 18 November 2024 through 20 November 2024

ER -