TY - JOUR
T1 - Research on refined reconstruction method of airfoil pressure based on compressed sensing
AU - Zhao, Xuan
AU - Du, Lin
AU - Peng, Xuhao
AU - Deng, Zichen
AU - Zhang, Weiwei
N1 - Publisher Copyright:
© 2021
PY - 2021/2
Y1 - 2021/2
N2 - The placement of pressure taps on the surface of the wind tunnel test model is an important means to obtain the surface pressure distribution. However, limited by space location and experimental cost, it is difficult to arrange enough pressure measuring taps on the surface of complex models to obtain complete pressure distribution information, thus it is impossible to obtain accurate lift and moment characteristics through integration. The paper proposes a refined reconstruction method of airfoil surface pressure based on compressed sensing, which can reconstruct the pressure distribution with high precision with less pressure measurement data. Tests on typical airfoil subsonic flow around flow show that the accuracy of lift and moment after the pressure integration reconstructed by 4-8 measuring points can meet the requirements of the national military standard. The algorithm is robust to noise, and provides a new idea for obtaining accurate force data from sparse surface pressure tests in engineering.
AB - The placement of pressure taps on the surface of the wind tunnel test model is an important means to obtain the surface pressure distribution. However, limited by space location and experimental cost, it is difficult to arrange enough pressure measuring taps on the surface of complex models to obtain complete pressure distribution information, thus it is impossible to obtain accurate lift and moment characteristics through integration. The paper proposes a refined reconstruction method of airfoil surface pressure based on compressed sensing, which can reconstruct the pressure distribution with high precision with less pressure measurement data. Tests on typical airfoil subsonic flow around flow show that the accuracy of lift and moment after the pressure integration reconstructed by 4-8 measuring points can meet the requirements of the national military standard. The algorithm is robust to noise, and provides a new idea for obtaining accurate force data from sparse surface pressure tests in engineering.
KW - Compressed sensing
KW - Pressure field reconstruction
KW - Pressure test
KW - Proper orthogonal decomposition
UR - http://www.scopus.com/inward/record.url?scp=85102879083&partnerID=8YFLogxK
U2 - 10.1016/j.taml.2021.100223
DO - 10.1016/j.taml.2021.100223
M3 - 文章
AN - SCOPUS:85102879083
SN - 2095-0349
VL - 11
JO - Theoretical and Applied Mechanics Letters
JF - Theoretical and Applied Mechanics Letters
IS - 2
M1 - 100223
ER -