Corrosion wastage of structural members in oil tankers over the time causes variability in structural properties. Corrosion is a function of many variables and uncertainties, such as the types of corrosion protection systems used, types of cargo, temperature, humidity, etc. The traditional engineering and analysis, which uses simplified deterministic approaches to account for this time-dependent reliability or risk of aging ship structure, is not suitable. This investigation explores the use of statistical analysis approaches to predict corrosion wastage in oil carrying tankers. Corrosion wastage measurements from transverse members of 115 oil tankers were collected to add to an extensive corrosion wastage database. Lognormal function was found to best fit the collected data when compared to other methods, such as the Weibull function. Linear regression in the form of three mathematical models of corrosion wastage, developed by considering age of ship, coating life, and the location of the transverse members, is used to indicate the relationship between corrosion wastage and age of ship. Corrosion rates were determined by the derivatives of the corrosion wastage. The results show that corrosion wastage may accelerate after twenty years of service. It is expected that the study will help identify which structural members may be more susceptible to corrosion wastage and require more frequent inspection.
Skip Nav Destination
25th International Conference on Offshore Mechanics and Arctic Engineering
June 4–9, 2006
Hamburg, Germany
Conference Sponsors:
- Ocean, Offshore, and Arctic Engineering Division
ISBN:
0-7918-4748-9
PROCEEDINGS PAPER
A Statistical Analysis of Corrosion Wastage of Transverse Members in Single Hull Tankers
Swieng Thuanboon,
Swieng Thuanboon
Colorado School of Mines, Golden, CO
Search for other works by this author on:
David S. Tordonato,
David S. Tordonato
Colorado School of Mines, Golden, CO
Search for other works by this author on:
William Navidi,
William Navidi
Colorado School of Mines, Golden, CO
Search for other works by this author on:
David L. Olson,
David L. Olson
Colorado School of Mines, Golden, CO
Search for other works by this author on:
Brajendra Mishra,
Brajendra Mishra
Colorado School of Mines, Golden, CO
Search for other works by this author on:
Ge Wang
Ge Wang
American Bureau of Shipping, Houston, TX
Search for other works by this author on:
Swieng Thuanboon
Colorado School of Mines, Golden, CO
David S. Tordonato
Colorado School of Mines, Golden, CO
William Navidi
Colorado School of Mines, Golden, CO
David L. Olson
Colorado School of Mines, Golden, CO
Brajendra Mishra
Colorado School of Mines, Golden, CO
Ge Wang
American Bureau of Shipping, Houston, TX
Paper No:
OMAE2006-92665, pp. 675-681; 7 pages
Published Online:
October 2, 2008
Citation
Thuanboon, S, Tordonato, DS, Navidi, W, Olson, DL, Mishra, B, & Wang, G. "A Statistical Analysis of Corrosion Wastage of Transverse Members in Single Hull Tankers." Proceedings of the 25th International Conference on Offshore Mechanics and Arctic Engineering. Volume 3: Safety and Reliability; Materials Technology; Douglas Faulkner Symposium on Reliability and Ultimate Strength of Marine Structures. Hamburg, Germany. June 4–9, 2006. pp. 675-681. ASME. https://doi.org/10.1115/OMAE2006-92665
Download citation file:
4
Views
Related Proceedings Papers
Related Articles
Assessment of Corrosion Risks to Aging Ships Using an Experience Database
J. Offshore Mech. Arct. Eng (May,2005)
Corrosion Effects on Reliability of Flat Plates in Tension
J. Offshore Mech. Arct. Eng (May,2012)
Structural Reliability of a Suezmax Oil Tanker Designed According to New Common Structural Rules
J. Offshore Mech. Arct. Eng (May,2008)
Related Chapters
Surface Analysis and Tools
Tribology of Mechanical Systems: A Guide to Present and Future Technologies
Corrosion Risk Analysis
Corrosion and Materials in Hydrocarbon Production: A Compendium of Operational and Engineering Aspects
Port State Control (PSC) Targetting System with Discriminant Analysis (PSAM-0321)
Proceedings of the Eighth International Conference on Probabilistic Safety Assessment & Management (PSAM)