Eigensensitivity analysis of subgrid-scale stresses in large-eddy simulation of a turbulent axisymmetric jet

Jofre, Lluís; Domino, Stefan P.; Iaccarino, Gianluca

doi:10.1016/j.ijheatfluidflow.2019.04.014

Title: Eigensensitivity analysis of subgrid-scale stresses in large-eddy simulation of a turbulent axisymmetric jet

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Abstract

The study of complex turbulent flows by means of large-eddy simulation approaches has become increasingly popular in many scientific and engineering applications. The underlying filtering operation of the approach enables to significantly reduce the spatial and temporal resolution requirements by means of representing only large-scale motions. However, the small-scale stresses and their effects on the resolved flow field are not negligible, and therefore require additional modeling. As a consequence, the assumptions made in the closure formulations become potential sources of model-form uncertainty that can impact the quantities of interest. The objective of this work, thus, is to perform a model-form sensitivity analysis in large-eddy simulations of an axisymmetric turbulent jet following an eigenspace-based strategy recently proposed. The approach relies on introducing perturbations to the decomposed subgrid-scale stress tensor within a range of physically plausible values. These correspond to discrepancy in magnitude (trace), anisotropy (eigenvalues) and orientation (eigenvectors) of the normalized, small-scale stresses with respect to a given tensor state, such that propagation of their effects can be assessed. As a result, the generality of the framework with respect to the six degrees of freedom of the small-scale stress tensor makes it also suitable for its application within data-driven techniques formore » improved subgrid-scale modeling.« less

Authors:

Jofre, Lluís ^[1]; Domino, Stefan P. ^[2]; Iaccarino, Gianluca ^[1]

Stanford Univ., CA (United States)
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

Publication Date:: Fri May 10 00:00:00 EDT 2019

Research Org.:: Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

Sponsoring Org.:: USDOE National Nuclear Security Administration (NNSA)

OSTI Identifier:: 1581988

Alternate Identifier(s):: OSTI ID: 1547210

Report Number(s):: SAND-2019-0078J
Journal ID: ISSN 0142-727X; 671311

Grant/Contract Number:: AC04-94AL85000; NA0002373; NA0003525

Resource Type:: Accepted Manuscript

Journal Name:: International Journal of Heat and Fluid Flow

Additional Journal Information:: Journal Volume: 77; Journal Issue: C; Journal ID: ISSN 0142-727X

Publisher:: Elsevier

Country of Publication:: United States

Language:: English

Subject:: 42 ENGINEERING; Large-eddy simulation; Sensitivity analysis; Subgrid-scale modeling; Turbulent axisymmetric jet; Uncertainty quantification

Citation Formats


                    Jofre, Lluís, Domino, Stefan P., and Iaccarino, Gianluca. Eigensensitivity analysis of subgrid-scale stresses in large-eddy simulation of a turbulent axisymmetric jet.  United States: N. p., 2019. 
Web.  doi:10.1016/j.ijheatfluidflow.2019.04.014.

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                    Jofre, Lluís, Domino, Stefan P., & Iaccarino, Gianluca. Eigensensitivity analysis of subgrid-scale stresses in large-eddy simulation of a turbulent axisymmetric jet.  United States.  https://doi.org/10.1016/j.ijheatfluidflow.2019.04.014

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                    Jofre, Lluís, Domino, Stefan P., and Iaccarino, Gianluca. Fri .  
"Eigensensitivity analysis of subgrid-scale stresses in large-eddy simulation of a turbulent axisymmetric jet".  United States.  https://doi.org/10.1016/j.ijheatfluidflow.2019.04.014.  https://www.osti.gov/servlets/purl/1581988.

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@article{osti_1581988,

  title        = {Eigensensitivity analysis of subgrid-scale stresses in large-eddy simulation of a turbulent axisymmetric jet},

  author       = {Jofre, Lluís and Domino, Stefan P. and Iaccarino, Gianluca},

  abstractNote = {The study of complex turbulent flows by means of large-eddy simulation approaches has become increasingly popular in many scientific and engineering applications. The underlying filtering operation of the approach enables to significantly reduce the spatial and temporal resolution requirements by means of representing only large-scale motions. However, the small-scale stresses and their effects on the resolved flow field are not negligible, and therefore require additional modeling. As a consequence, the assumptions made in the closure formulations become potential sources of model-form uncertainty that can impact the quantities of interest. The objective of this work, thus, is to perform a model-form sensitivity analysis in large-eddy simulations of an axisymmetric turbulent jet following an eigenspace-based strategy recently proposed. The approach relies on introducing perturbations to the decomposed subgrid-scale stress tensor within a range of physically plausible values. These correspond to discrepancy in magnitude (trace), anisotropy (eigenvalues) and orientation (eigenvectors) of the normalized, small-scale stresses with respect to a given tensor state, such that propagation of their effects can be assessed. As a result, the generality of the framework with respect to the six degrees of freedom of the small-scale stress tensor makes it also suitable for its application within data-driven techniques for improved subgrid-scale modeling.},

  doi          = {10.1016/j.ijheatfluidflow.2019.04.014},

  journal      = {International Journal of Heat and Fluid Flow},

  number       = C,

  volume       = 77,

  place        = {United States},

  year         = {Fri May 10 00:00:00 EDT 2019},

  month        = {Fri May 10 00:00:00 EDT 2019}

}

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