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The effects of hydro-mechanical fatigue crack growth on the mechanical properties of advanced high strength steels have been investigated using accelerated fatigue testing with 0→T and -T. The methods are based on the coupled use of high-frequency resonance tests to confirm crack initiation and fatigue tests to determine the number of cycles to failure. The results are expressed as the number of cycles to failure (Nc) and the fatigue strength (Nc/mm) of the specimens.

The effects of crack growth on the mechanical properties of high strength steels have been investigated by a model-based approach. The fatigue crack growth was simulated using a previously developed model and the results compared to results from an equivalent experiment. The results indicate that the model is successful in predicting the effects of crack growth on the Nc/mm ratio of high strength steel.

This presentation will describe a machine that was developed to test fatigue crack growth in disc shaped specimens in a controlled, reproducible and cost effective manner. These results can be compared directly to material behaviour and load history, and will be used to further develop the fatigue crack growth technique. This presentation will describe the fatigue crack growth experiments performed using the machine and present the results obtained for a range of material systems including stainless steel and titanium alloys. Additionally, these results will be compared to results obtained on the same material systems using traditional fatigue tests techniques.

Long-term fatigue crack growth experiments can be used to provide significant insight into the material behaviour and the mechanisms of fatigue crack growth. Such experiments can be used to investigate the effects of residual stress, residual stress fields, temperature and other parameters that can be controlled within the laboratory environment. In general, the influence of such tests can only be investigated once the material has failed under fatigue conditions. This is due to the finite size of the test specimen (which is usually much smaller than the location of failure in a component or structure). As a result, it is difficult to extract information from the test specimen that can be compared directly to observed failure modes.

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