Probabilistic analysis of local ice loads on a lifeboat measured in full-scale field trials

• Published in: Journal of Offshore Mechanics and Arctic Engineering
• Main Authors: Rahman, Md Samsur, Taylor, Rocky S., Kennedy, Allison, Ré, António Simões, Veitch, Brian
• Format: Article in Journal/Newspaper
• Language: English
• Published: American Society of Mechnical Engineers 2015
• Subjects: kinetics; lifeboats; sea ice; different operating conditions; exceedance probability; full-scale field trials; ice concentration; pressure analysis; probabilistic analysis; risk-based design; ice; kinetic energy; pack ice; ship design; Arctic; Sea ice
• Online Access: https://doi.org/10.1115/1.4030184; https://nrc-publications.canada.ca/eng/view/ft/?id=af839bbf-9248-4c2f-bef9-f8a3da466a23; https://nrc-publications.canada.ca/eng/view/object/?id=af839bbf-9248-4c2f-bef9-f8a3da466a23; https://nrc-publications.canada.ca/fra/voir/objet/?id=af839bbf-9248-4c2f-bef9-f8a3da466a23

This paper presents an analysis of local ice loads measured during full-scale field trials conducted in 2014 with a totally enclosed motor propelled survival craft (TEMPSC) in controlled pack ice conditions. These data were collected as part of an ongoing research program that aims to identify the limitations of conventional TEMPSC operating in sea ice environments and to provide insight as to how these limitations might be extended. During the 2014 trials, local ice loads were measured at two locations on the TEMPSC's bow area. These loads were the most severe measured to date and corresponded to an average ice floe mass that was approximately 1.25 times the mass of the fully loaded TEMPSC. The event-maximum method of local ice pressure analysis was used to analyze these field data to improve understanding of the nature of ice loads for such interactions and to evaluate the suitability of this approach for design load estimation for TEMPSCs (i.e., lifeboats) in ice. The event-maximum method was adapted for the present application, so as to link exceedance probabilities with design load levels for a given scenario. Comparison of the 2014 results with a previous analysis of 2013 field trials data supports earlier conclusions that these interactions are highly influenced by kinetic energy, since more massive ice floes are observed to impart significantly higher loads on the lifeboats. Illustrative examples examining the influence of ice concentration and sail-away distance have also been provided. The work establishes links between extreme loads and the exposure of the lifeboat to ice for different operating conditions. Based on this work it is concluded that the event-maximum method provides a promising approach for establishing risk-based design criteria for lifeboats if field data are available which adequately represent ice conditions encountered during the design life of the lifeboat. Peer reviewed: Yes NRC publication: Yes