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Analysis and validation of a procedure for a lumped model of Polar Class ship shafting systems for transient torsional vibrations

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Abstract

In this paper, the authors discuss the development of a procedure for modeling the transient torsional loads on shafting systems induced by an ice impact sequence on Polar Class vessels propellers. The procedure was used to solve the transient torsional vibration using a lumped masses model of shafting systems driven by electric motors. After a description of the methodology and procedure used to model the vibratory behavior of a shafting system, the discussion will focus on a sensitivity analysis performed on the relevant parameters that allows a proper description of the shaft’s dynamics. The model has then been benchmarked and validated against the results from a finite element code, using an R-Class icebreaker from the Canadian Coast Guard as a case study. The results show promising outcomes for the assessment of the transient torque loads, and the model will be used in the future to aid the upcoming experimental activity.

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Acknowledgements

The authors thank the American Bureau of Shipping (ABS), the Research & Development Corporation of Newfoundland and Labrador (RDC) and Mr. Mike Chaisson from the Canadian Coast Guard for their important and kind contribution to the presented research activity, without which the latter would not have been possible.

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Authors and Affiliations

  1. Ocean and Naval Architectural Engineering, Memorial University of Newfoundland, 240 Prince Phillip Drive, St. John’s, NL, A1B3X5, Canada

    Giorgio Burella & Lorenzo Moro

  2. Harsh Environment Technology Center, American Bureau of Shipping (ABS), 240 Prince Phillip Drive, St. John’s, NL, A1B3X5, Canada

    Dan Oldford

Authors
  1. Giorgio Burella
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  2. Lorenzo Moro
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  3. Dan Oldford
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Correspondence to Giorgio Burella.

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Burella, G., Moro, L. & Oldford, D. Analysis and validation of a procedure for a lumped model of Polar Class ship shafting systems for transient torsional vibrations. J Mar Sci Technol 23, 633–646 (2018). https://doi.org/10.1007/s00773-017-0499-x

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  • DOI: https://doi.org/10.1007/s00773-017-0499-x

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