Statistical modeling of pitting corrosion and pipeline reliability

Journal Article · Thu Mar 01 00:00:00 EST 1990 · Corrosion (Houston); (USA)

DOI:https://doi.org/10.5006/1.3585090· OSTI ID:6767363

Sheikh, A K ^[1]; Boah, J K ^[2]; Hansen, D A ^[3]

---

1. Mechanical Engineering Dept., King Fahd Univ. of Petroleum and Minerals, Dhahran 31261 (SA)
2. Carrier Corp., Syracuse, NY (USA)
3. Kellogg (M.W.) Co., Houston, TX (USA)

Pitting corrosion is treated as a time-dependent stochastic damage process characterized by an exponential or logarithmic pit growth. Data from water injection pipeline systems and from the published literature are used to simulate the sample functions of pit growth on metal surfaces. Perforation occurs when the deepest pit extends through the thickness of the pipe. Because the growth of the deepest pit is of stochastic nature, the time-to-perforation is modeled as a random variable that can be characterized by a suitable reliability model. It is further demonstrated that this time-to-first-leak is often distributed according to the Weibull extreme value reliability model.

• OSTI ID: 6767363
• Journal Information: Corrosion (Houston); (USA), Vol. 46:3; ISSN 0010-9312
• Country of Publication: United States
• Language: English

Related Subjects

36 MATERIALS SCIENCE
42 ENGINEERING
METALS
RELIABILITY
PIPELINES
PITTING CORROSION
CRACK PROPAGATION
LEAK TESTING
MATERIALS TESTING
STOCHASTIC PROCESSES
TIME DEPENDENCE
CHEMICAL REACTIONS
CORROSION
ELEMENTS
TESTING
360105* - Metals & Alloys- Corrosion & Erosion
360103 - Metals & Alloys- Mechanical Properties
420205 - Engineering- Transport & Storage Facilities- (1980-)