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    Response Prediction of a TLP in Cyclonic Storm Conditions

    Access Status
    Fulltext not available
    Authors
    Higgins, Stuart
    Hinwood, Jon
    Thiagarajan, Krish
    Date
    1998
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Higgins, S. and Hinwood, J. and Thiagarajan, K. 1998. Response Prediction of a TLP in Cyclonic Storm Conditions. International Journal of Offshore and Polar Engineering. 8 (1).
    Source Title
    International Journal of Offshore and Polar Engineering
    ISSN
    1053-5381
    Faculty
    Faculty of Science and Engineering
    School
    Curtin University Oil and Gas Innovation Centre
    URI
    http://hdl.handle.net/20.500.11937/83966
    Collection
    • Curtin Research Publications
    Abstract

    A 6 degrees-of-freedom frequency domain model of a Tension Leg Platform (TLP), which includes the effects of noncollinear wind, wave and current, is developed to determine the response and sensitivities to environmental input. The model includes the steady forcing effects due to currents and waves, wind and wave drift. The dynamic effects include Morison-type forces due to inertia and drag, spatially correlated wind and slowly varying wave drift effects. Attention is given to the position-dependent mooring stiffness incorporating an iterative procedure for the determination of mean static offset position as well as the linearised mooring stiffness at the displaced location. The linearised effects of body motion, current and wave particle velocities are considered for drag determination. This model is applied to predict the response of a TLP to a sample hindcast cyclonic storm off the North West Shelf of Australia. Storm parameters used in the response model include significant wave height, spectral peak period, wave direction, storm current and direction, wind speed and direction. Results show that peak response does not necessarily coincide with the maximum sea state, but rather, that different motions have different phasing with the input condition.

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    • Response Prediction of a TLP In Cyclonic Storm Conditions.
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