Static aeroelasticity analysis of a rotor blade using a Gauss-Seidel fluid-structure interaction method

被引:0
作者
Jiaxing Li
Jiaqi Luo
Yaolong Liu
Zhonghua Han
机构
[1] Zhejiang University,School of Aeronautics and Astronautics
[2] Northwestern Polytechnical University,School of Aeronautics
来源
Advances in Aerodynamics | / 5卷
关键词
Fluid-structure interaction; Rotor blade; Static aeroelasticity; Data transfer; aerodynamic performance;
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摘要
The present study introduces a Gauss-Seidel fluid-structure interaction (FSI) method including the flow solver, structural statics solver and a fast data transfer technique, for the research of structural deformation and flow field variation of rotor blades under the combined influence of steady aerodynamic and centrifugal forces. The FSI method is illustrated and validated by the static aeroelasticity analysis of a transonic compressor rotor blade, NASA Rotor 37. An improved local interpolation with data reduction (LIWDR) algorithm is introduced for fast data transfer on the fluid-solid interface of blade. The results of FSI calculation of NASA Rotor 37 show that when compared with the radial basis function (RBF) based interpolation algorithm, LIWDR meets the interpolation accuracy requirements, while the calculation cost can be greatly improved. The data transmission time is only about 1% of that of RBF. Moreover, the iteration step of steady flow computation within one single FSI has little impact on the converged aerodynamic and structural results. The aerodynamic load-caused deformation accounts for nearly 50% of the total. The effects of blade deformation on the variations of aerodynamic performance are given, demonstrating that when static aeroelasticity is taken into account, the choke mass flow rate increases and the peak adiabatic efficiency slightly decreases. The impact mechanisms on performance variations are presented in detail.
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[1]  
Hodges DH(2003)Introduction to structural dynamics and aeroelasticity Appl Mech Rev 56 B35-30
[2]  
Pierce GA(1996)On the computational efficiency and implementation of block-iterative algorithms for nonlinear coupled problems Eng Comput 13 4-2061
[3]  
Cutchins MA(2001)Coupled analytical sensitivity analysis and optimization of three-dimensional nonlinear aeroelastic systems AIAA J 39 2051-72
[4]  
Cervera M(2008)Fixed-point fluid-structure interaction solvers with dynamic relaxation Comput Mech 43 61-778
[5]  
Codina R(2009)Analysis of the block Gauss–Seidel solution procedure for a strongly coupled model problem with reference to fluid–structure interaction Int J Numer Methods Eng 78 757-83
[6]  
Galindo M(2013)Multiphysics simulations: challenges and opportunities Int J High Perform Comput Appl 27 4-377
[7]  
Maute K(2018)An automated selection algorithm for nonlinear solvers in MDO Struct Multidisc Optim 58 349-1827
[8]  
Nikbay M(2018)Open-source coupled aerostructural optimization using python Struct Multidisc Optim 57 1815-490
[9]  
Farhat C(2001)Modeling of fluid-structure interaction Ann Rev Fluid Mech 33 445-28
[10]  
Küttler U(2001)Computation of mistuning effects on cascade flutter AIAA J 39 22-569