IDEAS home Printed from https://ideas.repec.org/a/eee/reensy/v96y2011i11p1456-1461.html
   My bibliography  Save this article

The experimental and theoretical study of life raft safety under strong wind

Author

Listed:
  • Burciu, Zbigniew
  • Grabski, Franciszek

Abstract

The paper presents the study on the reliability of life rafts in different environmental and operational conditions. The information of the reliability of life saving appliances is essential during a search and rescue action; however, there are no available methods allowing the determinination of life saving appliances failure in heavy weather. The first attempt was made to determine the life raft safety using the random variable of “limit wind velocity†. The reliability function for the life raft was developed on the basis of the results of experimental research on hydrodynamic and aerodynamic reaction forces for 6-, 10- and 20-person life rafts with and without a drogue. The main conclusions with respect to the safety of life rafts in dependence on their operational conditions are presented and discussed.

Suggested Citation

  • Burciu, Zbigniew & Grabski, Franciszek, 2011. "The experimental and theoretical study of life raft safety under strong wind," Reliability Engineering and System Safety, Elsevier, vol. 96(11), pages 1456-1461.
    • Handle: RePEc:eee:reensy:v:96:y:2011:i:11:p:1456-1461
    DOI: 10.1016/j.ress.2011.06.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0951832011001207
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ress.2011.06.001?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Norrington, Lisa & Quigley, John & Russell, Ashley & Van der Meer, Robert, 2008. "Modelling the reliability of search and rescue operations with Bayesian Belief Networks," Reliability Engineering and System Safety, Elsevier, vol. 93(7), pages 940-949.
    2. R B Van der Meer & J Quigley & J E Storbeck, 2005. "Using regression analysis to model the performance of UK Coastguard centres," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(6), pages 630-641, June.
    3. R B van der Meer & J Quigley & J E Storbeck, 2005. "Using data envelopment analysis to model the performance of UK coastguard centres," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(8), pages 889-901, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. M. López-Campos & F. Kristjanpoller & P. Viveros & R. Pascual, 2018. "Reliability Assessment Methodology for Massive Manufacturing Using Multi-Function Equipment," Complexity, Hindawi, vol. 2018, pages 1-8, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gligor, David & Bozkurt, Siddik, 2020. "FsQCA versus regression: The context of customer engagement," Journal of Retailing and Consumer Services, Elsevier, vol. 52(C).
    2. Norrington, Lisa & Quigley, John & Russell, Ashley & Van der Meer, Robert, 2008. "Modelling the reliability of search and rescue operations with Bayesian Belief Networks," Reliability Engineering and System Safety, Elsevier, vol. 93(7), pages 940-949.
    3. Mumtaz Karatas & Nasuh Razi & Murat M. Gunal, 2017. "An ILP and simulation model to optimize search and rescue helicopter operations," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(11), pages 1335-1351, November.
    4. N C Simpson & P G Hancock, 2009. "Fifty years of operational research and emergency response," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(1), pages 126-139, May.
    5. Skarmeas, Dionysis & Leonidou, Constantinos N. & Saridakis, Charalampos, 2014. "Examining the role of CSR skepticism using fuzzy-set qualitative comparative analysis," Journal of Business Research, Elsevier, vol. 67(9), pages 1796-1805.
    6. Urueña, Alberto & Hidalgo, Antonio, 2016. "Successful loyalty in e-complaints: FsQCA and structural equation modeling analyses," Journal of Business Research, Elsevier, vol. 69(4), pages 1384-1389.
    7. Qazi, Abroon & Dickson, Alex & Quigley, John & Gaudenzi, Barbara, 2018. "Supply chain risk network management: A Bayesian belief network and expected utility based approach for managing supply chain risks," International Journal of Production Economics, Elsevier, vol. 196(C), pages 24-42.
    8. Yan-Feng Li & Jinhua Mi & Yu Liu & Yuan-Jian Yang & Hong-Zhong Huang, 2015. "Dynamic fault tree analysis based on continuous-time Bayesian networks under fuzzy numbers," Journal of Risk and Reliability, , vol. 229(6), pages 530-541, December.
    9. Sotiralis, P. & Ventikos, N.P. & Hamann, R. & Golyshev, P. & Teixeira, A.P., 2016. "Incorporation of human factors into ship collision risk models focusing on human centred design aspects," Reliability Engineering and System Safety, Elsevier, vol. 156(C), pages 210-227.
    10. Marhavilas, P.K. & Koulouriotis, D.E., 2012. "A combined usage of stochastic and quantitative risk assessment methods in the worksites: Application on an electric power provider," Reliability Engineering and System Safety, Elsevier, vol. 97(1), pages 36-46.
    11. Misuri, Alessio & Landucci, Gabriele & Cozzani, Valerio, 2020. "Assessment of safety barrier performance in Natech scenarios," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
    12. Zhang, D. & Yan, X.P. & Yang, Z.L. & Wall, A. & Wang, J., 2013. "Incorporation of formal safety assessment and Bayesian network in navigational risk estimation of the Yangtze River," Reliability Engineering and System Safety, Elsevier, vol. 118(C), pages 93-105.
    13. Zhang, Yue & Feng, Qiang & Fan, Dongming & Ren, Yi & Sun, Bo & Yang, Dezhen & Wang, Zili, 2023. "Optimization of maritime support network with relays under uncertainty: A novel matheuristics method," Reliability Engineering and System Safety, Elsevier, vol. 232(C).
    14. R B Van der Meer & J Quigley & J E Storbeck, 2005. "Using regression analysis to model the performance of UK Coastguard centres," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(6), pages 630-641, June.
    15. Abroon Qazi & Mecit Can Emre Simsekler & Steven Formaneck, 2023. "Supply chain risk network value at risk assessment using Bayesian belief networks and Monte Carlo simulation," Annals of Operations Research, Springer, vol. 322(1), pages 241-272, March.
    16. Jinfen Zhang & Ângelo P Teixeira & C. Guedes Soares & Xinping Yan & Kezhong Liu, 2016. "Maritime Transportation Risk Assessment of Tianjin Port with Bayesian Belief Networks," Risk Analysis, John Wiley & Sons, vol. 36(6), pages 1171-1187, June.
    17. R B van der Meer & J Quigley & J E Storbeck, 2005. "Using data envelopment analysis to model the performance of UK coastguard centres," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(8), pages 889-901, August.
    18. Qazi, Abroon & Quigley, John & Dickson, Alex & Ekici, Şule Önsel, 2017. "Exploring dependency based probabilistic supply chain risk measures for prioritising interdependent risks and strategies," European Journal of Operational Research, Elsevier, vol. 259(1), pages 189-204.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:reensy:v:96:y:2011:i:11:p:1456-1461. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/reliability-engineering-and-system-safety .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.