@inproceedings{c94c4dbda642418298446093fe321bd5,
title = "Multi-damage life assessment under continuous damage mechanics",
abstract = "Materials in the service process will produce multidamage, such as brittle damage, creep damage and fatigue damage. Traditional linear superposition principle, considering that different kinds of damages are independent, is not always accurate. In order to evaluate reliability of the material life under the multidamage, a new method is presented in the paper. The method is based on continuous damage mechanics(CDM) framework, considering effects on grain size and void damage, proposing creep and fatigue continuous damage model. Then the BP neural network is constructed to train creep-fatigue damage and finally validated the rationality of the model. The method can accurately evaluate the reliability life, which provides a new way to study multi-damage of the material failure behavior under CDM framework based on BP neural network.",
keywords = "BP neural network, Continuous damage mechanics(CDM) framework, Multi-damage",
author = "Chaojie Qi and Yufeng Sun",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 7th IEEE Prognostics and System Health Management Conference, PHM-Chengdu 2016 ; Conference date: 19-10-2016 Through 21-10-2016",
year = "2017",
month = jan,
day = "16",
doi = "10.1109/PHM.2016.7819925",
language = "英语",
series = "Proceedings of 2016 Prognostics and System Health Management Conference, PHM-Chengdu 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Qiang Miao and Zhaojun Li and Zuo, \{Ming J.\} and Liudong Xing and Zhigang Tian",
booktitle = "Proceedings of 2016 Prognostics and System Health Management Conference, PHM-Chengdu 2016",
address = "美国",
}