Fatigue life prediction of GFRP laminates using averaged Bayesian predictive distribution and Lamb wave velocity
Fatigue life prediction of GFRP laminates using averaged Bayesian predictive distribution and Lamb wave velocity
复制标题
使用平均贝叶斯预测分布和兰姆波速预测 GFRP 层压板的疲劳寿命
DOI：
10.1016/j.compscitech.2020.108213
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发表时间：
2020-08
影响因子：
9.1
通讯作者：
Jinhao Qiu
中科院分区：
文献类型：
--
作者：
Chongcong Tao;Chao Zhang;Hongli Ji;Jinhao Qiu
This paper presents a fatigue life prediction approach for GFRP laminates using laser ultrasonic technique for data acquisition and a hierarchical Bayesian model for damage characterization as well as life prediction. Fatigue damage is measured as the degradation of the Lamb wave velocity and described using a scalar damage variable. Due to the complexity of the damage mechanisms involved in the fatigue process and the difficulties in distinguishing different damage modes, i.e. fiber breakage, matrix cracks and delamination, from a single damage variable, multiple degradation models of various levels of complexity are proposed to form a meta-model. Bayesian inference is applied to obtain the distributions of model parameters to include uncertainty information. Then a stacking approach is applied to average the predictive distributions to obtain the optimal combination of each sub-model to generate a meta-prediction with the least diverge from the experimental observation. Experimental results of both traditional stiffness data and Lamb wave velocity data are used for validation. A credible interval (CI) based criterion is also proposed for fatigue life prediction, where consistent results are achieved with reasonable use of informative priors.
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影响因子：
4.2
作者：
Lee, Joon-Hyun;Lee, Seung-Joon
通讯作者：
Lee, Seung-Joon
DOI：
10.1613/jair.1164
发表时间：
2002-08
期刊：
ArXiv
影响因子：
--
作者：
P. Grünwald;Joseph Y. Halpern
通讯作者：
P. Grünwald;Joseph Y. Halpern
影响因子：
4.2
作者：
Nishino, Hideo;Tanaka, Toshiro;Takatsubo, Junji
通讯作者：
Takatsubo, Junji
使用频率依赖性补偿改进基于兰姆波的损伤检测的空间分辨率
影响因子：
4.7
作者：
Zeng Liang;Lin Jing;Bao Jingjing;Joseph Roshan Prakash;Huang Liping
通讯作者：
Huang Liping
影响因子：
1.2
作者：
S. Yashiro;N. Toyama;J. Takatsubo;T. Shiraishi
通讯作者：
S. Yashiro;N. Toyama;J. Takatsubo;T. Shiraishi