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形状记忆合金复合梁的振动特性

DOI: doi:10.3969/j.issn.1006-7043.2011.04.007

Keywords: 形状记忆合金, 恢复力, 振动特性, 复合梁

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Abstract:

针对复合梁的振动特性问题,利用已有的形状记忆合金(SMA)细观力学本构模型、复合材料力学和振动理论,推导了嵌入SMA的复合梁内SMA的恢复力公式,建立了描述该复合梁的应力、应变及温度间关系的力学本构方程和其固有频率和温度间关系的频率方程.应用SMA的恢复力公式、复合梁力学本构方程及频率方程研究了嵌入SMA复合梁的固有频率与温度间的关系和SMA体积分数对固有频率的影响.数值结果表明,利用SMA能有效实现对梁振动行为的主动控制,可以为利用SMA实现结构智能控制等方面的研究提供参考和借鉴.

References

[1]  SRINIVAS N, DEB K. Multi?objective optimization using non?dominated sorting in genetic algorithms [J]. Evolutionary Computation,1995,2:221-248.?
[2]  CHENG Cheng, XU Wengbo, LENG Wenhao. Design and optimization of open water performance of propeller based on isight platform DOE methods[J]. Computer Engineering and Design,2007,28(6):1455-1459.?
[3]  操喜安,刘蔚,崔维成.载人潜水器耐压球壳的多目标优化设计[J].中国造船,2007,48(3):107-113. ?CAO Xi’an,LIU Wei,CUI Weicheng. Multi?objective optimal design of the pressure spherical hull in deep manned submersible based on response surface and genetic algorithm [J].Shipbuilding of China,2007,48(3): 107-103.
[4]  张成成,姚卫星. 基于响应面的结构抗疲劳优化设计方法[J].南京航空航天大学学报,2007,39(1):37-40. ?ZHANG Chengcheng,YAO Weixing.Anti?fatigue optimal design based on response surface model[J]. Journal of Nanjing University of Aeronautics and Astronautics, 2007,39(1):37-40.?
[5]  任远,白广忱. 径向基神经网络在近似模型中的应用研究[J].计算机应用,2009,29(1):115-118. ?REN Yuan, Bai Guangchen. Research on application of radial basis neural network in approximation modeling [J]. Journal of Computer Applications, 2009, 29(1):115-118.?
[6]  JIN R, CHEN W, SIMPSON T W. Comparative studies of metamodeling techniques under multiple criteria[J]. Journal of Structures and Multidisciplinary Optimization, 2001,23(1):1-13.?
[7]  PAPILA N, SHYY W, GRIFFIN L W, DORNEY D J. Shape optimization of supersonic turbines using response surface and neural network methods[J]. Propulsion Power, 2001,18: 509-518. ?
[8]  朱继懋. 潜水器设计[M].上海:上海交通大学出版社,1992:114-116.?
[9]  王福军. 计算流体动力学分析――CFD软件原理与应用[M]. 北京:清华大学出版社, 2004: 124.?
[10]  SIMPSON T W, LIN K J , CHEN W. Sampling strategies for computer experiments design and analysis [J]. International Journal of Reliability and Applications, 2001, 2 (3):209-240.?
[11]  SACKS J, WELCH W J, MITCHEL T J,WYNN H P. Design and analysis of computer experiments[J]. Statistical Science, 1989,4(4):409-435.?
[12]  DEB K, PRATAP A, AGARWAL S, et al. A fast and elitist multi?objective genetic algorithm: NSGA?II [J].IEEE Transactions on Evolutionary Computation, 2002, 6(2):182-197.?

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