Experimental investigation of pressure statistics in laboratory homogeneous isotropic turbulence

被引:4
作者
Lin, Yuhe [1 ,2 ]
Xu, Haitao [3 ,4 ]
机构
[1] Tsinghua Univ, Ctr Combust Energy, Beijing 100084, Peoples R China
[2] Tsinghua Univ, Dept Energy & Power Engn, Beijing 100084, Peoples R China
[3] Tsinghua Univ, Dept Energy & Power Engn, Beijing 100084, Peoples R China
[4] Tsinghua Univ, Sch Aerosp Engn, Beijing 100084, Peoples R China
基金
中国国家自然科学基金;
关键词
ACCELERATIONS; FLUCTUATIONS;
D O I
10.1063/5.0155470
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
Pressure gradient and pressure play a key role in the evolution of structures and energy redistribution in turbulence. However, experimental investigations of pressure statistics in turbulent flows are difficult. With development in optical Lagrangian particle tracking (LPT) techniques over the past decades, it is now possible to obtain the pressure gradient fields with high accuracy from the measured acceleration fields, which gives an inspiration to study pressure statistics experimentally. In this work, we construct the instantaneous pressure and pressure gradient fields by the divergence curl correction method, using Lagrangian particle tracking data from laboratory turbulence generated in our turbulence exploration apparatus (TEA), which is newly developed with eight forcing elements arranged symmetrically in space. The measured velocity and acceleration statistics show that the laboratory turbulence in the TEA system is very close to be homogeneous and isotropic. The statistics of pressure gradient and velocity correlation conditioned on velocity confirm the interesting role of pressure gradient in the redistribution of energy in turbulence. In particular, these statistics of pressure gradient are not sensitive to spatial filtering with a filter size up to the lower end of the inertial range, indicating that these statistics capture the characteristics of the pressure gradient at scales in the inertial range or above.
引用
收藏
页数:7
相关论文
共 52 条
[1]   Reconstructing velocity and pressure from noisy sparse particle tracks using constrained cost minimization [J].
Agarwal, Karuna ;
Ram, Omri ;
Wang, Jin ;
Lu, Yuhui ;
Katz, Joseph .
EXPERIMENTS IN FLUIDS, 2021, 62 (04)
[2]   Lagrangian statistics of pressure fluctuation events in homogeneous isotropic turbulence [J].
Bappy, Mehedi ;
Carrica, Pablo M. ;
Buscaglia, Gustavo C. .
PHYSICS OF FLUIDS, 2019, 31 (08)
[3]   PRESSURE FLUCTUATIONS IN ISOTROPIC TURBULENCE [J].
BATCHELOR, GK .
PROCEEDINGS OF THE CAMBRIDGE PHILOSOPHICAL SOCIETY, 1951, 47 (02) :359-374
[4]   Lagrangian structure functions in turbulence: A quantitative comparison between experiment and direct numerical simulation [J].
Biferale, L. ;
Bodenschatz, E. ;
Cencini, M. ;
Lanotte, A. S. ;
Ouellette, N. T. ;
Toschi, F. ;
Xu, H. .
PHYSICS OF FLUIDS, 2008, 20 (06)
[5]   Acceleration Statistics of Neutrally Buoyant Spherical Particles in Intense Turbulence [J].
Brown, Rachel D. ;
Warhaft, Z. ;
Voth, Greg A. .
PHYSICAL REVIEW LETTERS, 2009, 103 (19)
[6]   On the statistical theory of isotropic turbulence [J].
de Karan, T ;
Howarth, L .
PROCEEDINGS OF THE ROYAL SOCIETY OF LONDON SERIES A-MATHEMATICAL AND PHYSICAL SCIENCES, 1938, 164 (A917) :0192-0215
[7]   Particles and fields in fluid turbulence [J].
Falkovich, G ;
Gawedzki, K ;
Vergassola, M .
REVIEWS OF MODERN PHYSICS, 2001, 73 (04) :913-975
[8]  
Gesemann S., 2015, 18 INT S LASER IMAGI
[9]  
Gotoh T, 2001, PHYS REV LETT, V86, P3775, DOI 10.1103/PhysRevLett86.3775
[10]  
Graham J., 2014, JHU TURBULENCE DATAB