| 大型组合结构整体性分析的人工神经网络模型 |
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| 引用本文： | 吴生富,聂绍珉,金淼,李树奎. 大型组合结构整体性分析的人工神经网络模型[J]. 塑性工程学报, 2007, 14(2): 77-79,93 |
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| 作者姓名： | 吴生富 聂绍珉 金淼 李树奎 |
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| 作者单位： | 燕山大学,机械工程学院,秦皇岛,066004 |
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| 摘 要： | 大型装备中普遍采用组合结构,其整体工作性能取决于预紧元件的预紧参数。确定预紧参数的传统方法不适用于大型结构,有限元法的分析次数又过多,实际上无法实现。文章提出用人工神经网络取代有限元进行整体性分析的方法,并针对某大型压机建立了神经网络模型。结果表明,用该方法可快速完成复杂组合结构的整体性分析,且精度较高。
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| 关 键 词： | 组合结构 有限元 神经网络 |
| 文章编号： | 1007-2012（2007）02-0077-03 |
| 收稿时间： | 2006-06-13 |
| 修稿时间： | 2006-06-132006-09-01 |
Artificial neural network model of the unity of analysis of large composite structure |
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| WU Sheng-fu,NIE Shao-min,JIN Miao,LI Shu-kui. Artificial neural network model of the unity of analysis of large composite structure[J]. Journal of Plasticity Engineering, 2007, 14(2): 77-79,93 |
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| Authors: | WU Sheng-fu NIE Shao-min JIN Miao LI Shu-kui |
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| Affiliation: | Mechanical Engineering College, Yanshan University, Qinhuangdao 066004 China |
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| Abstract: | Composite structure is usually adopted in large equipment,which unity of work performance is depended on the pre- loading parameter of preloading element.Traditional means aren't applicable on large structure,and the finite element methods cost too much time,so it can not be achieved in fact.In this paper,artificial neural network is used to replace the finite element methods to run the unity of analysis,and how to build the neural networks is also discussed. |
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| Keywords: | composite structure finite element method neural network |
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