Date of Award
Master of Science in Engineering
Mechanical and Aerospace Engineering
Mechanical and Aeronautical Engineering
Dr. Daniel Kujawski
Dr. Philip Guichelaar
Dr. Judah Ari-Gur
Masters Thesis-Open Access
The prediction of fatigue crack growth rate of a structural material is an important aspect by which we can predict the critical or safe crack length and, therefore, avoid the sudden failure of components and structures.
There are numerous models which claim to predict the fatigue crack growth rate, but with the exception of the highly published "crack closure methodology" no other model lived up to the expectation of correlating the fatigue crack growth data or predicting the fatigue crack growth rate for different R-ratios.
In order to find an effective solution to the above problem a study has been conducted to discuss the difficulties associated with the existing crack closure,
∆Keff methodology. A simplified fatigue crack driving force parameter, K*=Kmax
α(CK+) (1 • α) is proposed to predict the crack growth rate for different R - ratios.
A validation on the effectiveness of the proposed crack growth parameter K * relative to the existing crack closure approach, ∆Keff, is done based on published experimental data.
In addition, another model is developed called the "master curve" approach, which also predicts the R-ratio effects on crack growth rate.
Dinda, "Correlation and Prediction of Fatigue Crack Growth Rate for different R-Ratios" (2002). Master's Theses. 4774.