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�������պ����ѧѧ�� 2011, Vol. 37 Issue (11) :1465-1470    DOI:
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2. �й��ռ似���о�Ժ, ���� 100086
Finite element model updating of airplane wing based on Gaussian radial basis function response surface
Qin Yuling1, Kong Xianren1, Luo Wenbo2*
1. Research Center of Satellite Technology, Harbin Institute of Technology, Harbin 150001, China;
2. China Academy of Space Technology, Beijing 100086, China

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Abstract�� The benchmark finite element model(FEM) of the airplane wing was constituted using the three-dimensional solid element SOLID45 in ANSYS, and the uniform design method was employed to group the structure parameters to calculate the corresponding modal frequencies of each set of parameters, then the Gaussian radial basis function(RBF) response surface was constituted, the coefficients of which were fitted by the least square method(LSM), and the fitting precision was evaluated. The non-updated FEM was obtained by adding perturbation to the structure parameters of the benchmark FEM, and the fitness function was constituted based on the difference between the modal frequencies of the benchmark FEM and the Gaussian radial basis function(RBF) response surface, which guided the particle swarm optimization(PSO) algorithm with chaos-search mechanism to search for the perturbation of the structure parameters, the optimal solution was substituted into the non-updated FEM and then the updated FEM was obtained, the validity of the updated FEM is approved by comparing the similarity of the modal frequencies of the updated FEM and the benchmark FEM in and out of the test range.
Keywords�� airplane wing   uniform design   Gaussian radial basis function(RBF) response surface   chaos-search mechanism   particle swarm optimization(PSO) algorithm     
Received 2010-07-14;
Fund:

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About author: ������(1982-),Ů,ʯ��ׯ��, ��ʿ��,erica2004ren@163.com.
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������, ������, ���IJ�.���ھ����������Ӧ��Ļ�������Ԫģ������[J]  �������պ����ѧѧ��, 2011,V37(11): 1465-1470
Qin Yuling, Kong Xianren, Luo Wenbo.Finite element model updating of airplane wing based on Gaussian radial basis function response surface[J]  JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2011,V37(11): 1465-1470
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