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�������պ����ѧѧ�� 2003, Vol. 29 Issue (11) :1038-1041    DOI:
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�����, �󺺳�, ����*
�������պ����ѧ ���տ�ѧ�빤��ѧԺ, ���� 100083
Study of active shape control of SMA reinforced composites and the neural network model
Zeng Shenchang, Mai Hanchao, Wu Sheng*
School of Aeronautics Science and Technology, Beijing University of Aeronautics and Astronautics, Beijing 100083, China

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Abstract�� NiTi SMA wires were embedded in the composite laminate beyond the neutral layer, and by electric current, they are heated up to produce the large recovery force. Consequently, the bending deformation of SMA reinforced structure is achieved. Due to the nonlinear behavior of SMA and the complexity of the principles of stress, strain and shape of the composite structure embedded with SMA wires, use the artificial neural network to establish the model of steady-state deflection-intensity of electric current. Eventually, the relative error between the expected date of the model and the experimental data is less than 9%.
Keywords�� shape memory alloys   fiber reinforced composites   smart materials and structures   active control     
Received 2003-07-07;
About author: �����(1981-),��,���������,˶ʿ��,kevin.zsc@163.com.
�����, �󺺳�, ����.SMARC���ο��Ƽ������罨ģ[J]  �������պ����ѧѧ��, 2003,V29(11): 1038-1041
Zeng Shenchang, Mai Hanchao, Wu Sheng.Study of active shape control of SMA reinforced composites and the neural network model[J]  JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2003,V29(11): 1038-1041
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