Variational method for determining pressure from velocity in two dimensions

被引:12
作者
Cai, Zemin [1 ]
Liu, Yun [2 ]
Chen, Tao [3 ]
Liu, Tianshu [4 ]
机构
[1] Shantou Univ, Dept Elect Engn, Shantou, Peoples R China
[2] Purdue Univ Northwest, Dept Mech & Civil Engn, Westville, IN USA
[3] Peking Univ, Coll Engn, Beijing, Peoples R China
[4] Western Michigan Univ, Dept Mech & Aerosp Engn, Kalamazoo, MI 49008 USA
基金
中国国家自然科学基金;
关键词
FLUID; FLOW; PIV; FORCES; FIELDS;
D O I
10.1007/s00348-020-02954-2
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
This paper proposes a variational formulation with a smoothness constraint for extraction of pressure from two-dimensional velocity field. The method of characteristics is first described as a reduced case to obtain pressure data by a line integral along a given line. Then, a global optimization method is developed, and the Euler-Lagrange equation is obtained to determine a pressure field from velocity data in a domain with suitable boundary conditions. Numerical algorithms are developed to solve the Euler-Lagrange equation with suitable boundary conditions. The accuracy of the developed methods and the effects of the relevant parameters on extraction of pressure are evaluated on a simulated two-dimensional oblique Hiemenz flow. Subsequently, in an experimental case, pressure fields near a freely flying hawkmoth are estimated from high-resolution velocity fields that are obtained by applying the optical flow method to high-speed Schlieren photography images. [GRAPHICS] .
引用
收藏
页数:26
相关论文
共 36 条
[1]  
[Anonymous], J FLUIDS STRUCT
[2]  
[Anonymous], 2002, Accuracy and stability of numerical algorithms
[3]  
[Anonymous], J GEOM PHYS UNPUB
[4]  
[Anonymous], 1974, Introduction to Numerical Analysis
[5]  
[Anonymous], PHYS FLUIDS
[6]   A posteriori uncertainty quantification of PIV-based pressure data [J].
Azijli, Iliass ;
Sciacchitano, Andrea ;
Ragni, Daniele ;
Palha, Artur ;
Dwight, Richard P. .
EXPERIMENTS IN FLUIDS, 2016, 57 (05)
[7]  
Baur T., 1999, 3rd International Workshop on Particle Image Velocimetry, P101
[8]   Assessment of pressure field calculations from particle image velocimetry measurements [J].
Charonko, John J. ;
King, Cameron V. ;
Smith, Barton L. ;
Vlachos, Pavlos P. .
MEASUREMENT SCIENCE AND TECHNOLOGY, 2010, 21 (10)
[9]   An algorithm to estimate unsteady and quasi-steady pressure fields from velocity field measurements [J].
Dabiri, John O. ;
Bose, Sanjeeb ;
Gemmell, Brad J. ;
Colin, Sean P. ;
Costello, John H. .
JOURNAL OF EXPERIMENTAL BIOLOGY, 2014, 217 (03) :331-336
[10]   Pressure from particle image velocimetry for convective flows: a Taylor's hypothesis approach [J].
de Kat, R. ;
Ganapathisubramani, B. .
MEASUREMENT SCIENCE AND TECHNOLOGY, 2013, 24 (02)