Abstract
Accurate and reliable life prediction is one of the challenges faced by engineers working in safety-critical domains such as power plants, transportation, and offshore structures. This paper presents the developments to estimate the fatigue properties of materials using small volume of sample material—similar to scooped samples. Cyclic ball indentation and cyclic small punch testing methods have been developed over a period of nearly two decades and have been demonstrated to predict the fatigue properties of in-service materials. Some salient results are discussed in this paper. In the case of offshore structures, the synergistic effect of mechanical loading at a low frequency combined with the corrosive environment accelerates the damage. Life prediction for such structures requires data on corrosion-fatigue crack growth at low frequencies. This is a time-consuming effort and hence there is a need to estimate the properties through novel test methods. Frequency shedding method is proposed to estimate the fatigue crack growth rate behavior in corrosive environments. Further, designers and operators of offshore equipment resort to avoidance of free corrosion through the use of electrode potentials. However, the choice of electrode potential is dependent on the stress state. Through a systematic study, the optimum electrode potential for a fatigue crack growth study has been identified and the same is discussed here. It is hoped that the results of this study and the directions shown to carry out the data generation under more realistic conditions would help the life prediction and life extension community at large.
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The author would like to thank the support received from various organizations and research scholars who enthusiastically worked on many aspects of this paper. But for their hard work and dedication, not many aspects reported here would have been possible.
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Prakash, R.V. (2019). Toward Improved and Reliable Estimation of Operating Life of Critical Components Through Assessment of Fatigue Properties Using Novel Fatigue Testing Concepts. In: Varde, P., Prakash, R., Joshi, N. (eds) Risk Based Technologies. Springer, Singapore. https://doi.org/10.1007/978-981-13-5796-1_11
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