吉林大学学报(工学版) ›› 2014, Vol. 44 ›› Issue (6): 1710-1715.doi: 10.13229/j.cnki.jdxbgxb201406027

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Fatigue life prediction of materials based on BP neural networks optimized by genetic algorithm

YAN Chu-liang, HAO Yun-xiao, LIU Ke-ge   

  1. Beijing Aircraft Strength Institute, Beijing 100083, China
  • Received:2014-07-01 Online:2014-11-01 Published:2014-11-01

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Abstract:

The error of traditional fatigue life algorithms of materials is big. To overcome this problem, a model of the relationship among stress concentration factor (Kt), stress average (Sm), stress amplitude (Sa) and median life (N50) was built using BP neural network combined with genetic algorithm. This model is based on the classification of fatigue life data of materials, and it can be used to predict fatigue lift of materials with finite life data. Experiment results show that, using this model the relative prediction error is below 5%, in another word, the prediction accuracy of this model is higher than that of the traditional prediction algorithms. So this model can be applied to prediction the fatigue life of materials.

Key words: fatigue life of materials, BP neural networks, genetic algorithm, fatigue life prediction

CLC Number: 

  • O346.2
[1] 高镇同,熊峻江. 疲劳可靠性[M]. 北京: 北京航空航天大学出版社, 2000.
[2] 闫楚良, 刘克格. 飞机结构经济寿命设计与可靠性评定[M].北京: 航空工业出版社, 2010.
[3] Yan Chu-liang, Liu Ke-ge. Fatigue scatter factor of whole life and reliability of aircraft structure service life[J]. Advanced Materials Research, 2008,44-46:739-744.
[4] Yan Chu-liang, Liu Ke-ge. Theory of active reliability-based design for predetermined life of structures[J]. Advanced Materials Research, 2008,44-46:745-750.
[5] Yan Chu-liang,Liu Ke-ge. Theory of economic life prediction and reliability assessment of aircraft structures[J]. Chinese Journal of Aeronautics,2011,24:164-170.
[6] 闫楚良, 高镇同. 疲劳性能广义S-N曲面[J]. 机械工程学报, 1999, 34(1):103-105. Yan Chu-liang, Gao Zhen-tong. Generalized S-N curved surface of fatigue character[J]. Journal of Mechanical Engineering, 1999, 34(1):103-105(In Chinese).
[7] 李宏双, 吕震宙. 估计疲劳寿命三参数P-S-N曲线的新方法[J]. 机械强度, 2007, 29(2):300-304. Li Hong-shuang, Lyu Zhen-zhou. New method for estimating fatigue life three-parameter P-S-N curves[J]. Journal Mechanical Strength,2007, 29(2):300-304.
[8] 赵永翔 杨冰. 不完善概率疲劳S-N曲线的Monte Carlo修正[J]. 机械工程学报,2011,47(12):170-174. Zhao Yong-xiang, Yang Bing. Monte carlo mondification of imperfect probabilistic fatigue S-N curves[J]. Journal of Mechanical Engineering,2011,47(12):170-174.
[9] 孟广伟, 沙丽蓉, 李锋, 等. 基于径向基函数神经网络响应面法的装载机动臂疲劳可靠性[J]. 吉林大学学报:工学版,2009, 39(6):1516-1520. Meng Guang-wei, Sha Li-rong, Li Feng, et al. Fatigue reliability analysis of loader boom based on RBF-NN response surface method[J]. Journal of Jilin University(Engineering and Technology Edition),2009,39(6):1516-1520.
[10] Rodney D Averett, Mary L Realff. Comparative post fatigue residual property predictions of reinforced and unreinforced poly(ethylene terephthalate) fibers using artificial neural networks[J]. Composites Part A: Applied Science and Manufacturing, 2010,41(3):331-344.
[11] 刘仁云, 于繁华, 刘军. 基于小波神经网络的简支梁桥损伤识别[J]. 吉林大学学报:工学版,2009, 39(2):413-416. Liu Ren-yun, Yu Fan-hua, Liu Jun. Damage detection for simply supported based on wavelet neural network[J]. Journal of Jilin University(Engineering and Technology Edition),2009,39(2):413-416.
[12] 马锐. 人工神经网络原理[M]. 北京:机械工业出版社, 2010.
[13] 瞿宜锋, 李鸿雁, 刘寒冰, 等. 用遗传算法优化神经网络初始权重的方法[J]. 吉林大学学报:工学版,2003,33(2):45-50. Qu Yi-feng, Li Hong-yan, Liu Han-bing, et al. Method for optimizing initial werghts of ANNs by GAs[J]. Journal of Jilin University(Engineering and Technology Edition),2003,33(2):45-50.
[14] Zhou Nan, Zhang Ji-xiong. Genetic algorithm coupled with the neural network for fatigue properties of welding joints predicting[J]. Journal of Computers,2012,7(8):1887-1894.
[15] 李敏强, 寇纪凇. 遗传算法的基本理论与应用[M]. 北京: 科学技术出版社, 2003.
[16] 李英, 李元春. 基于神经网络和遗传算法的采油控制系统[J]. 吉林大学学报:工学版, 2006,36(1):83-86. Li Ying, Li Yuan-chun. Oil pumping control system based on neural network and genetic algorithm[J]. Journal of Jilin University(Engineering and Technology Edition),2006,36(1):83-86.
[17] 高镇同. 疲劳性能试验设计和数据处理[M]. 北京: 北京航天航空大学出版社, 1999.
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