| 材料疲劳损伤过程描述的智能方法 |
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| 引用本文： | 李佳,平安,郭浩,王德俊. 材料疲劳损伤过程描述的智能方法[J]. 东北大学学报(自然科学版), 1999, 20(6): 591-593 |
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| 作者姓名： | 李佳 平安 郭浩 王德俊 |
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| 作者单位： | 东北大学机械工程与自动化学院!沈阳110006;东北大学机械工程与自动化学院!沈阳110006;东北大学机械工程与自动化学院!沈阳110006;东北大学机械工程与自动化学院!沈阳110006 |
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| 摘 要： | 对描述材料疲劳损伤过程的智能仿真方法进行了研究,建立了新的模型·它能定量地反映载荷顺序效应和材料疲劳特性,准确地描述材料疲劳损伤的复杂变化历程,材料的疲劳韧性视为常量,可作为失效判据·选用正火３５钢进行了两级载荷及随机载荷疲劳试验,两种载荷作用下其寿命估算的最大误差分别为１５－７４％和８－９％·其寿命估算值与试验值吻合较好,分析精度较高·
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| 关 键 词： | 疲劳损伤 能量法 神经网络 |
| 修稿时间： | 1999-01-15 |
Intellectual Method for Describing the Fatigue Damage Processing of Material |
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| Li Jia,Ping An,Guo Hao,Wang Dejun. Intellectual Method for Describing the Fatigue Damage Processing of Material[J]. Journal of Northeastern University(Natural Science), 1999, 20(6): 591-593 |
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| Authors: | Li Jia Ping An Guo Hao Wang Dejun |
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| Abstract: | A kind of intellectual method of describing the fatigue damage processing of material was investigated. A new model based on BP Network was presented, the effect of loading sequence and material fatigue properties can be reflected by applying this model. Fatigue toughness of material is a constant, so that it can be considered as a failure criterion. Fatigue experiments of two level loading and random loading were performed by using normalizing 35 carbon steel, the maximum errors under two kinds of loading are respectively 15 74% and 8 9%, the agreement of values of predicted fatigue life and test were found to be quite good, the analyzing accuracy is very high. |
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| Keywords: | fatigue damage energy method neural network. |
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