基于SWT模型和威布尔分布的CFRP环带微动疲劳寿命预测

doi:10.11896/cldb.20060266

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Abstract Based on the SWT fatigue life prediction model, the probabilistic fatigue life prediction method of pin-loaded CFRP strap obeying Weibull distribution is derived. The ANSYS finite element model is established to obtain the stress and strain at the most unfavorable failure location at given load conditions, and the SWT model is used to calculate the fretting fatigue damage parameters. According to the experimental results of fretting fatigue life, the maximum likelihood estimation method is used to establish the functional relationship between fretting fatigue life and da-mage parameters under two parameter Weibull distribution, and the prediction value of fretting fatigue life under certain reliability is obtained. It is shown that FEA results are consistent with that in the test. Under four load cases, the mean square error of the cubic interpolation function of the damage parameters and Weibull distribution parameters of the SWT model is the minimum. The fatigue life prediction model is validated by the comparision between the calculation results and the test, in which the predicted fatigue life under 95% reliability is less than the minimum mea-sured value in the test. It is obvious that the predicted model can be used in the design.

Key words： SWT model Weibull distribution CFRP strap fretting fatigue life prediction

Published: Online: 2021-09-07

CLC number:

TU599

Fund:National Natural Science Foundation of China (51778372), the Research and Development Plan of China Railway Group Limited (2020-Key Project-11).

About author: Jing Gao,received her B. S degree in Changsha University of Science and Technology in 2002, and Ph. D. degree in Fuzhou University, China in 2009. She got the position in Xiamen University in 2009. From 2013 to 2014, she worked as a visiting scholar at Swiss Fe-deral Institute of Material Science and Technology (EMPA). She is currently an associate professor at Department of Civil Engineering, Xiamen University. Her research interests focus on design theory of arch bridge, structure health monitoring, and application of CFRP in structure enginee-ring.

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Cite this article:

GAO Jing,LUO Cheng. Fretting Fatigue Life Prediction of Pin-loaded CFRP Strap Based on SWT Model and Weibull Distribution[J]. Materials Reports, 2021, 35(16): 16015-16020.

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http://www.mater-rep.com/EN/10.11896/cldb.20060266 OR http://www.mater-rep.com/EN/Y2021/V35/I16/16015

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