Imperial College London
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ProfessorPeterCawley

Faculty of Engineering, Department of Mechanical Engineering

Professor of Mechanical Engineering
 
 
 
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Contact

 

+44 (0)20 7594 7069p.cawley CV

 
 
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Assistant

 

Ms Nina Hancock +44 (0)20 7594 7068

 
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Location

 

568City and Guilds BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Leung:2019:10.1016/j.ijfatigue.2018.11.012,
author = {Leung, M and Corcoran, J and Cawley, P and Todd, MD},
doi = {10.1016/j.ijfatigue.2018.11.012},
journal = {International Journal of Fatigue},
pages = {162--174},
title = {Evaluating the use of Rate-based Monitoring for Improved Fatigue Remnant Life Predictions},
url = {http://dx.doi.org/10.1016/j.ijfatigue.2018.11.012},
volume = {120},
year = {2019}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - The ability to perform accurate remnant life predictions is crucial to ensure the integrity of engineering components that experience fatigue loading during operation. This is conventionally achieved with periodic inspections, where results from non-destructive evaluation and estimation of the operating conditions are obtained to perform remnant life predictions using empirical crack growth laws. However, remnant life predictions made with this approach are very sensitive to their input parameters; uncertainty in each parameter would aggregate and result in great uncertainty in the final prediction. With the increasing viability of permanently-installed systems, it is proposed that the rate of damage growth can be used to more accurately and confidently gauge the integrity of an engineering component and perform remnant life predictions using the Failure Forecast Method. A statistical analysis of an example fatigue crack growth test was performed to compare the uncertainties of the remnant life predictions made using the conventional inspection approach and the proposed rate-based monitoring approach. It is shown that the Failure Forecast Method produces significantly more accurate and confident predictions compared to the inspection approach. The use of the Failure Forecast Method under non-constant amplitude loading conditions was also investigated. An equivalent cycles method is introduced to accommodate step changes in operating conditions. The effect of load interactions was also studied through a fatigue test with isolated overloads and a random variable amplitude loading test. Overall, the study has shown that the frequent data obtained from permanently installed monitoring systems provides new opportunities in remnant life estimates and potentially opens the way to increasing the intervals between outages and safely reducing conservatism in life predictions.
AU  - Leung,M
AU  - Corcoran,J
AU  - Cawley,P
AU  - Todd,MD
DO  - 10.1016/j.ijfatigue.2018.11.012
EP  - 174
PY  - 2019///
SN  - 0142-1123
SP  - 162
TI  - Evaluating the use of Rate-based Monitoring for Improved Fatigue Remnant Life Predictions
T2  - International Journal of Fatigue
UR  - http://dx.doi.org/10.1016/j.ijfatigue.2018.11.012
UR  - http://hdl.handle.net/10044/1/64433
VL  - 120
ER  -
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