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Modelling risk of a collision between a LNG tanker and a harbour tug

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Abstract

This paper introduces a model to estimate the consequences and related risk resulting from a collision between a LNG tanker and a tug during harbour entrance manoeuvres, The analysis is carried out for Zeebrugge harbour, where very dense traffic, including LNG tankers, is observed. The conditional probability that the collision seriously damages the LNG tanker during the mooring operations is estimated by means of a Bayesian Belief Network (B5N). Furthermore, the events that lead to a collision are identified as well as the prior probabilities of each event are evaluated in the course of numerical simulations, observations and a literature survey. The consequences of the collision are related to the costs of LNG tanker repair and the risk, expressed in monetary terms, is determined on the annual basis.

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References

  • ANTÃO P. Guedes Soares C. (2006). “Fault-tree models of accident scenarios of RoPax vessels.” International Journal of Automation and Computing 3, no. 2, pp. 107–116.

    Article  Google Scholar 

  • Chan, H., Darwiche A. (2002). “When do numbers really matter?” Journal of artificial intelligence research 17, pp. 265–287.

    Article  MathSciNet  Google Scholar 

  • Chen H., Moan T. (2004). “Probabilistic modeling and evaluation of collision between shuttle tanker and FPSO in tandem offloading.” Reliability Engineering & System Safety 84, no. 2, pp. 169–186

    Article  Google Scholar 

  • Chen H., Moan T., Haver S., Larsen K. (2004). “Prediction of relative motion and probability of contact between FPSO and shuttle tanker in tandem offloading operation.” Journal of Offshore Mechanics and Arctic Engineering, 126, pp.235–242.

    Article  Google Scholar 

  • Claes L, and Guillaume-Combecave J.-L (2009). “An innovative LNG Carrier.” In Zanic V, and Andric J. (editors) Proceedings of IMPROVE final workshop. Zagreb, pp. 87–89.

    Google Scholar 

  • Ehlers S. (2010). “The influence of the material relation on the accuracy of collision simulations.” Marine Structures, 23(4), pp. 462–474

    Article  Google Scholar 

  • Ehlers, S., Broekhuijsen, J., Alsos H. S., Biehl, F., Tabri, K. (2008). “Simulating the collision response of ship side structures: A failure criteria benchmark study.” International Shipbuilding Progress 55, pp. 127–144.

    Google Scholar 

  • Ehlers, S., Klanac, A., Kõrgesaar, M. (2008). “A design procedure for structures against impact loading.” STG Yearbook.

    Google Scholar 

  • Eleye-Datubo A. G., Wall A., Saajedi A., Wang J. (2006). “Enabling a Powerful Marine and Offshore Decision Support Solution Through Bayesian Network Technique.” Risk Analysis, 26,3, pp. 695–721.

    Article  Google Scholar 

  • Eleye-Datubo A. G., Wall A., Wang J. (2008). “Marine and offshore safety assessment by incorporative risk modeling in a fuzzy-bayesian network of an induced mass assignment paradigm.” Risk Analysis, 28,1, pp. 95–111.11.

    Article  Google Scholar 

  • Eunchang L., Yongtae P., Jong Gye S. (2009). “Large engineering project risk management using a Bayesian belief network.” Expert Systems with Applications, 36, pp. 5880–5887.

    Article  Google Scholar 

  • Friis-Hansen A. (2000). “Bayesian Networks as a decision support tool in marine application.” PhD Thesis, DTU, Lyngby.

    Google Scholar 

  • Hallquist, J.O. (2007). LS-DYNA. “Keyword User’s Manual, Version 971.” Livermore: Livermore Software Technology Corporation.

    Google Scholar 

  • Hugin Experts A/S (2010). “HUGIN API reference manual. Version 7.4”, available online: https://doi.org/download.hugm.com/webdocs/manuals/api-manual.pdf

    Google Scholar 

  • Jensen F.V., Nielsen T.D. (2007). “Bayesian networks and decision graphs.” Springer.

    Book  Google Scholar 

  • Kaplan S. (1997). “The words of risk analysis.” Risk analysis, 17(4), pp. 407–417.

    Article  Google Scholar 

  • Kiriya N. (2000). “Statistical study on reliability of ship equipment and safety management — reliability estimation for failures on main engine system by ship reliability database system.” Bulletin of the JIME, 29(2), pp. 64–70.

    Google Scholar 

  • Konsberg Marine (2009). “Description of Ship Model TUG06 Single Screw 4000 HP T.S.” Harbour Tug Java Victor I Full Load Version 4.

    Google Scholar 

  • Kristiansen S. (2004). “Maritime Transportation: Safety Management and Risk Analysis.” Butterworth-Heinemann.

    Google Scholar 

  • Madsen, A., M. Lang, U. Kjrul, and F. Jensen (2003). “The Hugin tool for learning Bayesian Networks.” In T. Nielsen and N. Zhang (Eds.), ECSQARU 2003, LNAI 2711, pp. 594–605. Springer-Verlag Berlin Heidelberg.

    Google Scholar 

  • Pedersen, P.T. (2002). “Collision risk for fixed offshore structures close to high-density shipping lanes.” Proc Insitution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment 216,no. 1(1): pp. 29–44.

    Google Scholar 

  • Pill I., Tabri K. (2009). “Finite element simulations of ship collisions: A coupled approach to external dynamics and inner mechanics.” In proceedings of Analysis and Design of Marine Structures, pp. 103–109.

    Google Scholar 

  • Ren J., Jenkinson I., Wang J., Xu D.L., Yang J.B. (2009). “An Offshore Risk Analysis Method Using Fuzzy Bayesian Network.” Journal of Offshore Mechanics and Arctic Engineering 131,no. 4, pp 041101-1–12

    Article  Google Scholar 

  • Romanoff et al. (2007). “Catalogue of the Selected Methods to Solve the Structural, Production and Operation Issues Affecting Design of 3 Application Cases.” EU IMPROVE Deliverable 2.6.

    Google Scholar 

  • Sandom C., Harvey R.S. Institution of Electrical Engineers (2004). “Human factors for engineers. IET.”

    Book  Google Scholar 

  • Tabri K, (2010). “Dynamics of Ship Collisions. Doctoral dissertation.” Aalto University.

    Google Scholar 

  • Uusitalo, L. (2007). “Advantages and challenges of Bayesian networks in environmental modelling.” Ecological Modelling, 203,(3/4), pp. 312–318.

    Article  Google Scholar 

  • Vanem E., Antão P., Østvik I., Del Castillo de Comas F. (2008). “Analysing the risk of LNG carrier operations.” Reliability Engineering & System Safety 93, no. 9, pp. 1328–1344.

    Article  Google Scholar 

  • Vinnem J. (2007). “Offshore Risk Assessment.” 2nd ed. Springer, London.

    Google Scholar 

  • Weber, P. Medina-Oliva G., Simon C., Iung B. (2010). “Overview on Bayesian networks applications for dependability, risk analysis and maintenance areas.” Engineering Applications of Artificial Intelligence, doi:10.1016/j.engappai.2010.06.002

    Google Scholar 

  • Zhang, L., Egge, E. D., Bruhms, H. (2004). “Approval procedure concept for alternative arrangements.” In Proceedings of the Third International Conference on the Collision and Grounding of Ships, Izu, Japan, pp.87–97.

    Google Scholar 

  • Zolotukhin A.B., Gudmestad O.T. (2000). “Use of Fuzzy Sets Theory in Qualitative and Quantitative Risk Assessment.” Proc SPE International Conference on Health, Safety and Environment in Oil and Gas Exploration and Production, Stavanger.

    Book  Google Scholar 

Download references

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Correspondence to Jakub Montewka.

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Montewka, J., Ehlers, S. & Tabri, K. Modelling risk of a collision between a LNG tanker and a harbour tug. Mar. Syst. Ocean Technol. 7, 3–13 (2012). https://doi.org/10.1007/BF03449259

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  • DOI: https://doi.org/10.1007/BF03449259

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