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Risk Management for Pitting Corrosion

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2014, Master of Science, University of Akron, Applied Mathematics.
Pitting corrosion is a localized corrosion that leads to potential damage to metal structures. The goal of this work is to provide a model for pitting corrosion risk management. The process of pitting corrosion is considered as a combination of pit initiation and pit depth growth. For the pit initiation, a Poisson process is used in which an average pit density is developed to simulate a linear or non-linear pit density pro¿le over time. For the pit depth growth, we use a nonhomogeneous Markov process with the maximum pit depth growth rate depending on time. As benchmarks against experimental results, the mean maximum pit depth and the variance are predicted using statistical methods and these match well with the experimental data. A sensitivity study of the parameters in the pit initiation and pit depth growth models is provided. A Monte Carlo method is also discussed as another method for simulating pitting corrosion.
Nao Mimoto, Dr. (Advisor)
Gerald Young, Dr. (Committee Member)
Kevin Kreider, Dr. (Committee Member)
Curtis Clemons, Dr. (Committee Member)
53 p.

Recommended Citations

Citations

  • Zhao, J. (2014). Risk Management for Pitting Corrosion [Master's thesis, University of Akron]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=akron1396724655

    APA Style (7th edition)

  • Zhao, Jing. Risk Management for Pitting Corrosion. 2014. University of Akron, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=akron1396724655.

    MLA Style (8th edition)

  • Zhao, Jing. "Risk Management for Pitting Corrosion." Master's thesis, University of Akron, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=akron1396724655

    Chicago Manual of Style (17th edition)