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| 储液容器跌落冲击动力学神经网络建模 | |
| 引用本文： | 杨书仪,刘德顺,赵继云.储液容器跌落冲击动力学神经网络建模[J].计算力学学报,2010,27(3):442-445. |
| 作者姓名： | 杨书仪 刘德顺 赵继云 |
| 作者单位： | 1. 湖南科技大学,机电工程学院,湘潭,411201;中国矿业大学,徐州,221116 2. 湖南科技大学,机电工程学院,湘潭,411201 3. 中国矿业大学,徐州,221116 |
| 基金项目： | 国家自然科学基金资助项目，湖南省自然科学基金项目，湖南省教育厅科学研究重点项目 |
| 摘 要： | 运用LS-DYNA程序中的ALE算法模拟储液容器在不同的跌落角度、跌落高度、壳体厚度下的跌落冲击过程,获取神经网络预测模型的训练样本集;利用BP神经网络建立储液容器结构参数、跌落冲击参数与接触点最大应力之间的映射关系预测模型,并将各种参数下的接触点最大应力网络预测值与仿真值比较,两者差异较小,表明该方法是有效的,可以为实际生产过程中参数选择提供理论依据. |
| 关 键 词： | 储液容器 跌落冲击 ALE算法 有限元 神经网络 |
| 收稿时间： | 2008/5/15 0:00:00 |
Neural network modeling for the drop impact dynamics of fluid-filled container |
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| YANG Shu-yi,LIU De-shun and ZHAO Ji-yun.Neural network modeling for the drop impact dynamics of fluid-filled container[J].Chinese Journal of Computational Mechanics,2010,27(3):442-445. | |
| Authors: | YANG Shu-yi LIU De-shun and ZHAO Ji-yun |
| Institution: | College of Electromechanical Engineering,Hunan University of Science and Technology, Xiangtan 411201, China;China University of Mining and Technology, Xuzhou 221116, China;College of Electromechanical Engineering,Hunan University of Science and Technology, Xiangtan 411201, China;China University of Mining and Technology, Xuzhou 221116, China |
| Abstract: | Mapping relations of fluid-filled container structure parameter, drop impact parameter and contact point stress are set up based on the finite element method(FEM)and artificial neural network(ANN). Drop impact process of different drop angle, drop height, container thickness are simulated with the Arbitrary Lagrange-Euler (ALE) algorithm in order to obtain training swatch for the ANN. The BP ANN prediction model is established. The difference is less of the prediction values with the ANN and the simulation datum with the FEM. This indicates that the method is effective and may provide theory gist of preferences in production process. |
| Keywords: | fluid-filled container drop impact ALE algorithm FEM ANN |
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