Experimental and numerical study of high-order complex curvature mode shape and mode coupling on a three-bladed wind turbine assembly

被引:74
作者
Chen, Yuanchang [1 ]
Mendoza, Alejandra S. Escalera [1 ]
Griffith, D. Todd [1 ]
机构
[1] Univ Texas Dallas, Dept Mech Engn, Dallas, TX 75080 USA
关键词
Wind turbine blade; 3D Scanning Laser Doppler Vibrometer; (SLDV); Finite Element Model; Modal testing and analysis; Dynamic response; Correlation; Mode coupling; DAMAGE DETECTION; DYNAMICS;
D O I
10.1016/j.ymssp.2021.107873
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Experimental and numerical modal analysis on wind turbine blades has been previously studied, considering mainly low order bending modes. However, high-order modes are also critical modes for understanding blade dynamics. The mode coupling is essential because a better understanding of the high-frequency blade dynamics can support advances in model validation, blade aeroelastic simulations, blade design, and structural health monitoring. However, these high-order modes and the associated mode couplings of wind turbine blades have not been studied. This work presents a comprehensive experimental and numerical study based on three modal tests and a correlated finite element simulation to study the complex curvature mode shapes and mode coupling dynamics for a three bladed wind turbine assembly. Three tests are conducted: Test 1, ten accelerometers are deployed on the whole assembly under impact excitation; Test 2, nine accelerometers are deployed on a single blade under impact excitation; and Test 3, a non-contact 3D Scanning Laser Doppler Vibrometer (SLDV) test is performed on a single blade under shaker excitation. This is the first work to use a 3D SLDV for an experimental modal test on the wind turbine blade. With 300-400 points measured with the 3D SLDV, experimental mode shapes having a high spatial resolution with 3D response are used to characterize the coupling for the low-order and high-order modes with complex curvatures. A reliable finite element model of the three-bladed assembly, including the composite blade modeling, is also developed and is well correlated with Test 2 and Test 3. With the high-fidelity 3D SLDV test and well-correlated finite element model, this is also the first work of using experimental and numerical approaches to investigate the high-order mode shape with complex curvatures and mode coupling of bending and torsional behavior that is present in the wind turbine blade for these high-order modes. (c) 2021 Elsevier Ltd. All rights reserved.
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页数:25
相关论文
共 40 条
[1]  
Allemang R. J., 1982, P 1 INT MOD AN C KIS, P110
[2]   Photogrammetry and optical methods in structural dynamics - A review [J].
Baqersad, Javad ;
Poozesh, Peyman ;
Niezrecki, Christopher ;
Avitabile, Peter .
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2017, 86 :17-34
[3]   Numerical and Experimental Analysis of the Boundary Conditions Effects on the Dynamics of Wind Turbines [J].
Baqersad, Javad ;
Niezrecki, Christopher ;
Avitabile, Peter .
WIND ENGINEERING, 2015, 39 (04) :437-452
[4]   Mode-enhanced space-time DIC: applications to ultra-high-speed imaging [J].
Berny, Myriam ;
Jailin, Clement ;
Bouterf, Amine ;
Hild, Francois ;
Roux, Stephane .
MEASUREMENT SCIENCE AND TECHNOLOGY, 2018, 29 (12)
[5]   Nanoindentation measurement of core-skin interphase viscoelastic properties in a sandwich glass composite [J].
Cao, Dongyang ;
Malakooti, Sadeq ;
Kulkarni, Vijay N. ;
Ren, Yao ;
Lu, Hongbing .
MECHANICS OF TIME-DEPENDENT MATERIALS, 2021, 25 (03) :353-363
[6]   The inception of OMA in the development of modal testing technology for wind turbines [J].
Carne, Thomas G. ;
James, George H., III .
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2010, 24 (05) :1213-1226
[7]  
Chabrier R., MECH SYST SIG PROCES, V156
[8]  
Chen, 2019, NONMODEL BASED EXPAN
[9]   Online DWT algorithm for identification of aerodynamic damping in wind turbines [J].
Chen, Bei ;
Basu, Biswajit ;
Hua, Xugang ;
Feng, Zhouquan ;
Zhang, Zili ;
Chen, Zhengqing ;
Nielsen, Soren R. K. .
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2021, 152
[10]  
Chen C., MECH SYST SIG PROCES, V154