Anisomorphic constant fatigue life diagrams of constant probability of failure and prediction of P–S–N curves for unidirectional carbon/epoxy laminates. (February 2016)

• Record Type: Journal Article
• Authors: Kawai, M.; Yano, K.
• Is Part Of: International journal of fatigue. Volume 83:Part 2(2016)
• Page Start: 323
• Page End: 334
• Publication Date: 2016-02
• Subjects: Composite -- Fatigue -- Statistics -- Probability of failure -- P–S–N curve -- Probabilistic constant fatigue life diagram; Materials -- Fatigue -- Periodicals; Materials -- Fatigue; Periodicals; 620.1122
• DOI: 10.1016/j.ijfatigue.2015.11.005
• Languages: English
• ISSNs: 0142-1123

Abstract

Highlights: The stress ratio effect on the scatter of fatigue life of a UD CFRP is examined. A probabilistic anisomorphic constant fatigue life diagram method is developed. P–S–N curves can accurately be predicted for different stress ratios. The stress ratio effect on the scatter in fatigue life can accurately be predicted. Abstract: The effect of stress ratio on statistical distribution of fatigue life of a unidirectional carbon/epoxy composite has been examined. Furthermore, a method for efficiently predicting a family of S–N curves with probability of failure as the parameter for any stress ratio of constant amplitude loading has been developed. For this purpose, fatigue life data are first collected at each of different stress levels for tension–tension (TT), tension–compression (TC) and compression–compression (CC) fatigue loadings, respectively. The experimental results show that the scatter in fatigue life tends to become larger in order of TT, TC and CC loading. Lognormal distribution is used to quantify the statistics of the static tensile and compressive strength data and the fatigue life data for each of different stress levels and stress ratios. It is found that lognormal distribution is applicable approximately not only to the static strength data in tension and compression, but also to the fatigue life data for each of different stress levels and stress ratios. The parameters of the distribution of fatigue life are shown to be dependent on the stress ratio of fatigue loading. The experimental P–S–N curves are established for each of different stress ratios using the distributions fitted to the static strength and fatigue life data. Then, a method for constructing the anisomorphic constant fatigue life (CFL) diagrams of constant probability of failure is developed. The proposed probabilistic anisomorphic CFL diagram approach allows not only accurately predicting the P–S–N curves for different stress ratios, but also adequately describing the stress-ratio dependent scatter in fatigue life of the unidirectional composite.