ESTIMATING UNCERTAINTY OF LOW- AND HIGH-ORDER TURBULENCE STATISTICS IN WALL TURBULENCE
Rezaeiravesh S, Xavier D, Vinuesa R, Yao J, Hussain F, Schlatter P (2022)
Publication Type: Conference contribution
Publication year: 2022
Publisher: International Symposium on Turbulence and Shear Flow Phenomena, TSFP
Conference Proceedings Title: 12th International Symposium on Turbulence and Shear Flow Phenomena, TSFP 2022
Event location: Osaka, Virtual, JPN
Abstract
A framework is introduced for accurate estimation of time-average uncertainties in various types of turbulence statistics. A thorough set of guidelines is provided to adjust the different hyperparameters for estimating uncertainty in sample mean estimators (SMEs). For high-order turbulence statistics, a novel approach is proposed which avoids any linearization and preserves all relevant temporal and spatial correlations and cross-covariances between SMEs. This approach is able to accurately estimate uncertainties in any arbitrary statistical moment. The usability of the approach is demonstrated by applying it to data from direct numerical simulation (DNS) of the turbulent flow over a periodic hill and through a straight circular pipe.
Authors with CRIS profile
Involved external institutions
Royal Institute of Technology / Kungliga Tekniska Högskolan (KTH)
Sweden (SE)
Texas Tech University (TTU)
United States (USA) (US)
Sweden (SE)
Texas Tech University (TTU)
United States (USA) (US)
How to cite
APA:
Rezaeiravesh, S., Xavier, D., Vinuesa, R., Yao, J., Hussain, F., & Schlatter, P. (2022). ESTIMATING UNCERTAINTY OF LOW- AND HIGH-ORDER TURBULENCE STATISTICS IN WALL TURBULENCE. In 12th International Symposium on Turbulence and Shear Flow Phenomena, TSFP 2022. Osaka, Virtual, JPN: International Symposium on Turbulence and Shear Flow Phenomena, TSFP.
MLA:
Rezaeiravesh, Saleh, et al. "ESTIMATING UNCERTAINTY OF LOW- AND HIGH-ORDER TURBULENCE STATISTICS IN WALL TURBULENCE." Proceedings of the 12th International Symposium on Turbulence and Shear Flow Phenomena, TSFP 2022, Osaka, Virtual, JPN International Symposium on Turbulence and Shear Flow Phenomena, TSFP, 2022.
BibTeX: Download