基于BP神经网络的金属橡胶本构关系的预估方法

李宇燕; 黄协清; 李福林

基于BP神经网络的金属橡胶本构关系的预估方法

1.
西安工业大学机电工程学院,西安 710032
2.
西安交通大学机械工程学院,西安 710049

基金项目: 国家自然科学基金(50805112)

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出版历程
- 收稿日期: 2010-04-19
- 修回日期: 2010-06-28
- 刊出日期: 2011-05-28

Prediction for constitutive relationship of metallic rubber based on BP neural net

1.
School of Mechatronic Engineering, Xi'an Technological University, Xi'an 71003
2.
School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an 710049, China

摘要

摘要: 采用BP(back propagation)神经网络算法对金属橡胶的本构关系系数进行学习训练,对BP神经网络做了比较详细的介绍,讨论了如何运用神经网络去预估金属橡胶的非线性本构关系系数,选择了BP神经网络参量,通过对金属橡胶的静态压缩实验数据进行参数识别,获得仅材料密度变化、材料密度和形状因子两种因素同时变化两种情况的BP神经网络预估模型,从而实现了对金属橡胶材料非线性本构关系的预估, 通过实验进行验证,发现理论与实验结果吻合较好,说明采用BP神经网络预估金属橡胶材料的非线性本构关系是可行的.
- 金属橡胶 /
- 本构关系 /
- BP(back propagation)神经网络 /
- 密度 /
- 形状因子
Abstract: Coefficients of constitutive relationship for metallic rubber were studied and trained by BP (back propagation) neural net.BP neural net was introduced elaborately,and how to predict coefficients of constitutive relationship by BP neural net was discussed.BP neural net parameters were chosen.Through parameter identification of static experimental data of metallic rubber,BP neural net models were obtained in two cases,including:various densities,various shape factors and densities;and further prediction for the nonlinear constitutive relationship was realized.The experiments prove that the theory agrees with the experiment,indicating that the method of predicting nonlinear constitutive relationship of metallic rubber is feasible.
- metallic rubber /
- constitutive relationship /
- BP (back propagation) neural net /
- density /
- shape factor

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参考文献(12)

[1]	杨昭,刘燕,苗志彬.人工神经网络在天然气负荷预测中的应用[J].煤气与热力,2003,23(6):331-333. YANG Zhao,LIU Yan,MIAO Zhibin.Application of neural-network in natural gas load forecasting[J].Gas & Heat,2003,23(6):331-333.(in Chinese)
[2]	许东,吴铮.基于Matlab 6.X的系统分析与设计——神经网络[M].西安:西安电子科技大学出版社,2002:23-180.
[3]	李宇燕.金属橡胶材料的非线性本构关系及系统振动响应的研究 .西安:西安交通大学,2006. LI Yuyan.Investigation on nonlinear constitutive relationship and vibration response of system for metallic rubber .Xi'an:Xi'an Jiaotong University,2006.(in Chinese)
[4]	Gibson L J,Ashby M F.Cellular solids:structures and properties[M].2nd ed.London:Cambridge University Press,1997.
[5]	Ashby M F,Medalist R F M.The mechanical properties of cellular solids[J].Metallurgical and Materials Transactions A,1983,14(9):1755-1769.
[6]	Maiti S K,Gibson L J,Ashby M F.Deformation and energy absorption diagrams for cellular solids[J].Acta Metal,1984,32(11):1963-1975.
[7]	陈守余,周梅春.人工神经网络模拟实现与应用[M].武汉:中国地质大学出版社,2000:1-45.
[8]	党建武.神经网络技术及应用[M].北京:铁道出版社,1996:56-64.
[9]	陈明.神经网络模型[M].大连:大连理工大学出版社,1995:36-53.
[10]	刘延年,冯纯伯,乔新.多层前向BP网络函数逼近能力的研究[J].南京航空航天大学学报,1994,26(11):34-39. LIU Yannian,FENG Chunbo,QIAO Xin.Studies on approximation ability of multilayer feed forward BP networks[J].Journal of Nanjing University of Aeronautics and Astronautics,1994,26(11):34-39.(in Chinese)
[11]	刘桥.金属橡胶材料的非线性特性及其在航天减振器中的应用 .西安:西安交通大学,1997. LIU Qiao.Nonlinear characteristics and application in the respect of aerospace damper for metal-rubber .Xi'an:Xi'an Jiaotong University,1997.(in Chinese)
[12]	张俊华.金属橡胶材料物理机械性能及阻尼特性理论与应用研究 .西安:西安交通大学,1999. ZHANG Junhua.Investigation on theory and application of mechanical and damping characteristics of metal-rubber .Xi'an:Xi'an Jiaotong University,1999.(in Chinese)