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Research Papers

Corrosion Reliability Analysis Considering the Coupled Effect of Mechanical Stresses

[+] Author and Article Information
Chaoyang Xie

School of Mechatronics Engineering, University of Electronic Science and Technology of China,
Chengdu 610054, China; Institution of System Engineering, China Academy of Engineering Physics,
Mianyang 621999, China

Pingfeng Wang

Department of Industrial and Manufacturing Engineering,
Wichita State University,
Wichita, KS 67260
e-mail: pingfeng.wang@wichita.edu

Zequn Wang

Department of Industrial and Manufacturing Engineering,
Wichita State University,
Wichita, KS 67260

Hongzhong Huang

School of Mechatronics Engineering, University of Electronic Science and Technology of China,
Chengdu 610054, China

1Corresponding author.

Manuscript received March 4, 2015; final manuscript received November 7, 2015; published online July 1, 2016. Assoc. Editor: Sankaran Mahadevan.

ASME J. Risk Uncertainty Part B 2(3), 031001 (Jul 01, 2016) (9 pages) Paper No: RISK-15-1034; doi: 10.1115/1.4032003 History: Received March 04, 2015; Accepted November 07, 2015

Corrosion is one of the most critical failure mechanisms for engineering structures and systems, as corrosion damages grow with the increase of service time, thus diminish system reliability gradually. Despite tremendous efforts, effectively carrying out reliability analysis considering the complicated coupling effects for corrosion remains to be a grand challenge. There is a substantial need to develop sophisticated corrosion reliability models and effective reliability analysis approaches considering corrosion damage growth under coupled effects such as mechanical stresses. This paper presents a physics-of-failure model for pitting corrosion with the coupled effect of corrosion environment and mechanical stresses. With the developed model, corrosion damage growth can be projected and corrosion reliability can be analyzed. To carry out corrosion reliability analysis, the developed pitting corrosion model can be formulated as time-dependent limit state functions considering pit to crack transition, crack growth, and fracture failure mechanics. A newly developed maximum confidence enhancement (MCE)-based sequential sampling approach is then employed to improve the efficiency of corrosion reliability analysis with the time-dependent limit state functions. A case study is presented to illustrate the efficacy of the developed physics-of-failure model for corrosion considering the coupled mechanical stress effects, and the new corrosion reliability analysis methodology.

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Figures

Grahic Jump Location
Fig. 1

Pitting corrosion growth and transit to crack process

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Fig. 4

Comparison of limit state functions with and without coupled stresses

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Fig. 3

Comparison of pit growth with and without mechanical stresses

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Fig. 2

SCC propagation curve

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Fig. 5

Flowchart of reliability analysis with pitting corrosion damage

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Fig. 6

Pit depth growth curve with different corrosion time

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Fig. 7

Probability of failure analysis results at different corrosion times

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Fig. 8

Errors of failure probability analysis at different corrosion times

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