Bureau Veritas (BV) has responded to demand for safe LNG transportation in the Arctic regions by developing new, high-level tools to assess cargo sloshing in ice conditions. It has also developed a cutting-edge probabilistic method for assessing ice loads on structure which will reduce the time and data needed to assess the structure of vessels and units designed for heavy ice operation.
Pierre Besse, BV’s director of innovation, says, “All eyes are on the Arctic sea routes and on the opening up of the Arctic mineral and energy resources. We have to ensure the vessels and offshore units that operate in those extreme conditions are safe. That is why we have invested heavily in research into ice loads on structure and the effects of cargo sloshing caused by collisions with ice for LNG carriers and oil tankers. That investment gives us powerful tools which we are using to shorten the time needed to assess designs for key Arctic projects and routes.”
A new module for BV’s IceSTAR ice-load calculation tool will calculate the kinetic energy imparted to the cargo by a collision with ice. The kinematics derived can then be used together with CFD analysis to determine how the cargo will slosh and the extra loads this will impose on the ship’s structure and the LNG containment system.
Says Besse, “When gas and oil cargoes begin moving regularly through the Arctic it is certain that ships and ice will interact. The energy from those collisions will cause the cargo to move violently, and we have to make sure the ships and especially LNG containment systems are built to withstand that. It is a complex calculation requiring hig- level modeling but we can do that, and do it in a commercially acceptable time frame. BV is working on a number of high-Arctic projects such as Shtokman and Yamal and these tools will make them safe and ready more quickly.”
Research collaboration with the State Maritime Technical University of St. Petersburg has led to BV upgrading IceSTAR to include probabilistic methods to calculate ice loads. “Ice properties vary widely,” explains Besse. “There are always issues with input data. This research has proven that using stochastic methods we can overcome limitations in the input data to produce safe and robust outputs for the loads which ships and offshore structures may expect from Arctic ice.”
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