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《Earthquake Engineering and Engineering Vibration》 2003-04
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Finite element model correction of large space truss structure based on neural net

QU Wei-lian~(1),TAN Dong-mei~(1), Wang Jing~(1), Teng Jun~(2) (1.Institute of Civil Engineering and Architecture , Wuhan University of Technology, Wuhan 430070,China;2.The Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen, China)  
The finite element model correction of large space truss is done by identifying its joint fixity factor based on neural net. The finite sensors are placed in an optimal fashion by effective independence method. The structure frequency and local modal shape are acquired from structural time-history responses at optimal sensor placement location, then the RBF neural net is established to correct the finite element model of space truss. The numerical example shows that the method can be effectively used to correct the finite element model of space truss structures.
【Fund】: 国家自然科学基金会主任基金(50148020);; 国家自然科学基金(50278057)
【CateGory Index】: TU356
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