| 基于模糊神经网络的材料力学性能识别 |
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| 引用本文： | 俞树荣,张俊武,李建华.基于模糊神经网络的材料力学性能识别[J].兰州理工大学学报,2001,27(1):8-12. |
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| 作者姓名： | 俞树荣 张俊武 李建华 |
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| 作者单位： | 1. 甘肃工业大学石油化工学院,
2. 甘肃省质量技术监督局, |
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| 基金项目： | 机械工业部基金1(982 5 1313)，甘肃省劳动厅基金!资助项目 (19992 3) |
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| 摘 要： | 在模糊聚类分析的基础上 ,根据以往材料的试验数据和工程评定数据 ,采用模糊神经网络方法 ,确定了在用压力容器缺陷评定中断裂韧度的预测数据 ,结果与试验数据相符 ,且与其它选用原则和确定方法的结果一致 .该方法解决了在用压力容器缺陷评定中断裂韧度代用数据确定的问题 .
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| 关 键 词： | 力学性能 模糊神经网络 缺陷评定 压力容器 |
| 文章编号： | 1000-5889（2001）01-0008-05 |
| 修稿时间： | 2000年8月26日 |
Mechanical property identifieation of materials by using fuzzy neural network |
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| YU Shu-rong,ZHANG Jun-wu,LI Jian-hua.Mechanical property identifieation of materials by using fuzzy neural network[J].Journal of Lanzhou University of Technology,2001,27(1):8-12. |
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| Authors: | YU Shu-rong ZHANG Jun-wu LI Jian-hua |
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| Abstract: | On the basis of fuzzy clustering analysis and the data available from materials tests and engineering assessments, prediction data of fracture toughness necessary for defect assessment of pressure vessels are determined by means of fuzzy neural network, the result of prediction being in accordance with that of experiment as well as of other optional principles and procedures for defect determination. The method presented has solved the problem of superseding data determination for the fracture toughness used in defect assessment of pressure vessels. |
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| Keywords: | mechanical property fuzzy neural network defect assessment pressure vessel |
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