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Fatigue crack growth and life prediction under mixed-mode loading.

Authors :
Sajith, S.
Murthy, K. S. R. K.
Robi, P. S.
Kumar, G. C. Mohan
Source :
AIP Conference Proceedings. 2018, Vol. 1943 Issue 1, pN.PAG-N.PAG. 7p.
Publication Year :
2018

Abstract

Fatigue crack growth life as a function of crack length is essential for the prevention of catastrophic failures from damage tolerance perspective. In damage tolerance design approach, principles of fracture mechanics are usually applied to predict the fatigue life of structural components. Numerical prediction of crack growth versus number of cycles is essential in damage tolerance design. For cracks under mixed mode I/II loading, modified Paris law ( d a d N = C ( Δ K e q ) m ) along with different equivalent stress intensity factor (Δ<italic>K</italic><italic>eq</italic>) model is used for fatigue crack growth rate prediction. There are a large number of Δ<italic>K</italic><italic>eq</italic> models available for the mixed mode I/II loading, the selection of proper Δ<italic>K</italic><italic>eq</italic> model has significant impact on fatigue life prediction. In the present investigation, the performance of Δ<italic>K</italic><italic>eq</italic> models in fatigue life prediction is compared with respect to the experimental findings as there are no guidelines/suggestions available on the selection of these models for accurate and/or conservative predictions of fatigue life. Within the limitations of availability of experimental data and currently available numerical simulation techniques, the results of present study attempt to outline models that would provide accurate and conservative life predictions. Such a study aid the numerical analysts or engineers in the proper selection of the model for numerical simulation of the fatigue life. Moreover, the present investigation also suggests a procedure to enhance the accuracy of life prediction using Paris law. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0094243X
Volume :
1943
Issue :
1
Database :
Academic Search Index
Journal :
AIP Conference Proceedings
Publication Type :
Conference
Accession number :
129290570
Full Text :
https://doi.org/10.1063/1.5029644