| Neural network method for solving elastoplastic finite element problems |
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| 作者姓名： | 任小强 陈务军 董石麟 王锋 |
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| 作者单位： | Space Structures Research Center Shanghai Jiao Tong University Shanghai 200030 China，Space Structures Research Center Shanghai Jiao Tong University Shanghai 200030 China，Space Structures Research Center Shanghai Jiao Tong University Shanghai 200030 China，Space Structures Research Center Shanghai Jiao Tong University Shanghai 200030 China |
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| 基金项目： | Project (No. 10102010) supported by the National Natural Science Foundation of China |
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| 摘 要： | INTRODUCTION An Artificial Neural Network (ANN) is an in-formation-processing paradigm that is inspired by the way biological nervous systems, such as the brain, process information. It is composed of a large number of highly interconnected processing elements (neu-rons) working in unison to solve specific problems. In recent years, neural network has been widely applied in the field of engineering construction as a large dimensional nonlinear dynamic system, because of its support for …
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| 关 键 词： | 弹塑性 有限元法 神经网络 非线性问题 最优化问题 |
| 收稿时间： | 2005-03-20 |
| 修稿时间： | 2005-04-08 |
Neural network method for solving elastoplastic finite element problems |
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| Xiao-qiang Ren,Wu-jun Chen,Shi-lin Dong,Feng Wang.Neural network method for solving elastoplastic finite element problems[J].Journal of Zhejiang University Science,2006,7(3):378-382. |
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| Authors: | Xiao-qiang Ren Wu-jun Chen Shi-lin Dong Feng Wang |
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| Institution: | (1) Space Structures Research Center, Shanghai Jiao Tong University, Shanghai, 200030, China |
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| Abstract: | A basic optimization principle of Artificial Neural Network—the Lagrange Programming Neural Network (LPNN) model for solving
elastoplastic finite element problems is presented. The nonlinear problems of mechanics are represented as a neural network
based optimization problem by adopting the nonlinear function as nerve cell transfer function. Finally, two simple elastoplastic
problems are numerically simulated. LPNN optimization results for elastoplastic problem are found to be comparable to traditional
Hopfield neural network optimization model.
Project (No. 10102010) supported by the National Natural Science Foundation of China |
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| Keywords: | Elastoplasticity Finite element method (FEM) Neural network |
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