|
|||||
|
|
| 基于灰色神经网络的疲劳裂纹预测方法研究 | |
| 引用本文： | 李建国,江龙平,叶新农.基于灰色神经网络的疲劳裂纹预测方法研究[J].海军航空工程学院学报,2008,23(3):281-284. |
| 作者姓名： | 李建国 江龙平 叶新农 |
| 作者单位： | 1. 海军装备部航订部,北京,100841 2. 海军航空工程学院,青岛分院,山东,青岛,266041 3. 海军驻西安地区航空军事代表室,西安,710021 |
| 摘 要： | 为对构件疲劳损伤进行预测，提出了基于灰色神经网络模型的疲劳裂纹扩展预测方法。将灰色GM（I，1）模型向BP网络映射，建立了一维灰色神经网络GNNM（1，1）模型。基于灰色GM（1，1）模型的发展系数和灰作用量给出了GNNM（1，1）模型初始权值。应用建立的GNNM（1，1）模型预测了某不锈钢构件腐蚀疲劳裂纹的扩展，并与GM（I，1）模型的预测结果进行了对比，表明GNNM（1，1）模型具有更高的预测精度和模型精度。 |
| 关 键 词： | 疲劳损伤 灰色 神经网络 |
Research on Prediction Method of Fatigue Crack Growth Based on the Gray Neural Network |
|
| LI Jian-guo,JIANG Long-ping and YE Xin-nong.Research on Prediction Method of Fatigue Crack Growth Based on the Gray Neural Network[J].Journal of Naval Aeronautical Engineering Institute,2008,23(3):281-284. | |
| Authors: | LI Jian-guo JIANG Long-ping and YE Xin-nong |
| Institution: | LI Jian-guo1,JIANG Long-ping2,YE Xin-nong3(1.Aeronautical Equipment Research , Order Branch of NED,Beijing 100841,China,2.Navy Aeronautical Engineer Academy Qingdao Branch,Qingdao Sh,ong 266041,3.Aeronautical Military Representatives Office of Navy in Xi\'an,Xi\'an 710021,China) |
| Abstract: | To predict the growth of fatigue crack of the structural component,the prediction method of the fatigue crack's growth based on the gray neural network model was presented.The gray GM(1,1) model was mapped to the BP network,and the one-dimension gray neural network GNNM(1,1) model was established.Based on the grow coefficient and the gray actuating quantity of the gray GM(1,1) model,the initial weights of the one-dimension gray neural network GNNM(1,1) model were acquired.The GNNM(1,1) model was applied to ... |
| Keywords: | fatigue damage Gray neural network |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |
| 点击此处可从《海军航空工程学院学报》浏览原始摘要信息 | |
| 点击此处可从《海军航空工程学院学报》下载免费的PDF全文 | |