This paper presents a reliability-based methodology for assessing fracture failures of steel pipes with sharp corrosion pits. Based on newly developed models of elastic fracture toughness, the simple criterion of stress intensity factor (SIF) is used to establish the limit state functions for pipes with sharp corrosion pits in the longitudinal and circumferential directions. A stochastic model of load effect is developed and a time-dependent reliability method based on first passage probability for nonstationary lognormal processes is employed to quantify the probability of failure and predict the remaining service life. After applying the methodology to a case study, sensitivity analysis is carried out to identify the most influential variables on the probability of failure. It is found in the paper that the correlation coefficient has a considerable effect on probability of failure of steel pipes with sharp corrosion pits and that the larger the mode I fracture toughness is, the smaller the probability of pipe failure is.
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June 2019
Research-Article
Prediction of Fracture Failure of Steel Pipes With Sharp Corrosion Pits Using Time-Dependent Reliability Method With Lognormal Process
Guoyang Fu,
Guoyang Fu
School of Engineering,
RMIT University,
Melbourne 3001, Australia;
RMIT University,
Melbourne 3001, Australia;
Department of Civil Engineering,
Monash University,
Clayton 3800, Australia
e-mail: guoyang.fu@monash.edu
Monash University,
Clayton 3800, Australia
e-mail: guoyang.fu@monash.edu
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Wei Yang,
Wei Yang
College of Engineering and Science,
Victoria University,
Melbourne 8001, Australia
e-mail: wei.yang@vu.edu.au
Victoria University,
Melbourne 8001, Australia
e-mail: wei.yang@vu.edu.au
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Chun-Qing Li,
Chun-Qing Li
Professor
School of Engineering,
RMIT University,
Melbourne 3001, Australia
e-mail: chunqing.li@rmit.edu.au
School of Engineering,
RMIT University,
Melbourne 3001, Australia
e-mail: chunqing.li@rmit.edu.au
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Sujeeva Setunge
Sujeeva Setunge
Search for other works by this author on:
Guoyang Fu
School of Engineering,
RMIT University,
Melbourne 3001, Australia;
RMIT University,
Melbourne 3001, Australia;
Department of Civil Engineering,
Monash University,
Clayton 3800, Australia
e-mail: guoyang.fu@monash.edu
Monash University,
Clayton 3800, Australia
e-mail: guoyang.fu@monash.edu
Wei Yang
College of Engineering and Science,
Victoria University,
Melbourne 8001, Australia
e-mail: wei.yang@vu.edu.au
Victoria University,
Melbourne 8001, Australia
e-mail: wei.yang@vu.edu.au
Wenni Deng
Chun-Qing Li
Professor
School of Engineering,
RMIT University,
Melbourne 3001, Australia
e-mail: chunqing.li@rmit.edu.au
School of Engineering,
RMIT University,
Melbourne 3001, Australia
e-mail: chunqing.li@rmit.edu.au
Sujeeva Setunge
1Corresponding author.
Contributed by the Pressure Vessel and Piping Division of ASME for publication in the JOURNAL OF PRESSURE VESSEL TECHNOLOGY. Manuscript received October 1, 2018; final manuscript received February 19, 2019; published online March 21, 2019. Assoc. Editor: Yun-Jae Kim.
J. Pressure Vessel Technol. Jun 2019, 141(3): 031401 (8 pages)
Published Online: March 21, 2019
Article history
Received:
October 1, 2018
Revised:
February 19, 2019
Citation
Fu, G., Yang, W., Deng, W., Li, C., and Setunge, S. (March 21, 2019). "Prediction of Fracture Failure of Steel Pipes With Sharp Corrosion Pits Using Time-Dependent Reliability Method With Lognormal Process." ASME. J. Pressure Vessel Technol. June 2019; 141(3): 031401. https://doi.org/10.1115/1.4043010
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