Literature DB >> 20616273

Predictive model for wall-bounded turbulent flow.

I Marusic1, R Mathis, N Hutchins.   

Abstract

The behavior of turbulent fluid motion, particularly in the thin chaotic fluid layers immediately adjacent to solid boundaries, can be difficult to understand or predict. These layers account for up to 50% of the aerodynamic drag on modern airliners and occupy the first 100 meters or so of the atmosphere, thus governing wider meteorological phenomena. The physics of these layers is such that the most important processes occur very close to the solid boundary--the region where accurate measurements and simulations are most challenging. We propose a mathematical model to predict the near-wall turbulence given only large-scale information from the outer boundary layer region. This predictive capability may enable new strategies for the control of turbulence and may provide a basis for improved engineering and weather prediction simulations.

Year:  2010        PMID: 20616273     DOI: 10.1126/science.1188765

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  10 in total

1.  Sensing fluctuating airflow with spider silk.

Authors:  Jian Zhou; Ronald N Miles
Journal:  Proc Natl Acad Sci U S A       Date:  2017-10-30       Impact factor: 11.205

2.  Phase relations in a forced turbulent boundary layer: implications for modelling of high Reynolds number wall turbulence.

Authors:  Subrahmanyam Duvvuri; Beverley McKeon
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2017-03-13       Impact factor: 4.226

3.  Modelling high Reynolds number wall-turbulence interactions in laboratory experiments using large-scale free-stream turbulence.

Authors:  Eda Dogan; R Jason Hearst; Bharathram Ganapathisubramani
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2017-03-13       Impact factor: 4.226

4.  Log-layer mismatch and modeling of the fluctuating wall stress in wall-modeled large-eddy simulations.

Authors:  Xiang I A Yang; George Ilhwan Park; Parviz Moin
Journal:  Phys Rev Fluids       Date:  2017-10-03       Impact factor: 2.537

5.  Wall-Modeled Large-Eddy Simulation for Complex Turbulent Flows.

Authors:  Sanjeeb T Bose; George Ilhwan Park
Journal:  Annu Rev Fluid Mech       Date:  2018-01       Impact factor: 18.511

6.  Modeling how shark and dolphin skin patterns control transitional wall-turbulence vorticity patterns using spatiotemporal phase reset mechanisms.

Authors:  Promode R Bandyopadhyay; Aren M Hellum
Journal:  Sci Rep       Date:  2014-10-23       Impact factor: 4.379

7.  Wind-invariant saltation heights imply linear scaling of aeolian saltation flux with shear stress.

Authors:  Raleigh L Martin; Jasper F Kok
Journal:  Sci Adv       Date:  2017-06-07       Impact factor: 14.136

8.  Turbulent superstructures in Rayleigh-Bénard convection.

Authors:  Ambrish Pandey; Janet D Scheel; Jörg Schumacher
Journal:  Nat Commun       Date:  2018-05-29       Impact factor: 14.919

9.  Wall-Normal Variation of Spanwise Streak Spacing in Turbulent Boundary Layer With Low-to-Moderate Reynolds Number.

Authors:  Wenkang Wang; Chong Pan; Jinjun Wang
Journal:  Entropy (Basel)       Date:  2018-12-31       Impact factor: 2.524

10.  Multistable autonomous motion of fruit on a smooth hotplate.

Authors:  Promode R Bandyopadhyay
Journal:  Sci Rep       Date:  2022-01-07       Impact factor: 4.379

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.