| 求解弹塑性有限元问题的神经网络方法 |
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| 引用本文： | 任小强,陈务军,付功义,董石麟.求解弹塑性有限元问题的神经网络方法[J].上海交通大学学报,2005,39(5):801-804. |
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| 作者姓名： | 任小强 陈务军 付功义 董石麟 |
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| 作者单位： | 上海交通大学,空间结构研究中心,上海,200030;上海交通大学,空间结构研究中心,上海,200030;上海交通大学,空间结构研究中心,上海,200030;上海交通大学,空间结构研究中心,上海,200030 |
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| 摘 要： | 利用神经网络优化计算原理,引入LPNN(Lagrange Programming Neural Network)模型求解弹塑性有限元问题.通过采用非线性函数作为神经元的传递函数,使神经网络的非线性问题同力学的非线性问题得到统一.对两个简单的弹塑性问题进行了数值仿真,计算结果表明了该方法的正确性及有效性.
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| 关 键 词： | 弹塑性 有限元法 神经网络 |
| 文章编号： | 1006-2467(2005)05-0801-04 |
| 修稿时间： | 2004年4月30日 |
A Neural Network Method for Solving Elasto-Plasticity Finite Element Problems |
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| REN Xiao-qiang,CHEN Wu-jun,FU Gong-yi,DONG Shi-lin.A Neural Network Method for Solving Elasto-Plasticity Finite Element Problems[J].Journal of Shanghai Jiaotong University,2005,39(5):801-804. |
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| Authors: | REN Xiao-qiang CHEN Wu-jun FU Gong-yi DONG Shi-lin |
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| Abstract: | According to the basic optimization principle of artificial neural network, the Lagrange programming neural network(LPNN) model was used to solve the elasto-plasticity finite element problems, which improve the calculation accuracy. The nonlinear problems of mechanics are corresponded to the nonlinear problems of neural network, by applying nonlinear functions as nerve cell translation functions. At last, two simple elasto-plastic problems were numerically emulated for the efficiency and effect of the procedure herein. |
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| Keywords: | elasto plasticity finite element methods neural network |
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