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Forecasting the volume of defect detection works on a river fleet vessel hull

https://doi.org/10.21821/2309-5180-2024-16-2-271-281

Abstract

The issue of using the new Instruction for defect detection of hulls of vessels for river and mixed (riversea) navigation to predict the number of measurements of hull structures during the subsequent regular survey is discussed in the paper. The electronic version of the defect detection report tables provided for in the Instruction allowing the necessary calculations to be performed is taken into account. At the moment, defect detection of a ship hull is the examination, measurement and assessment of defects in each element of the ship’s hull in order to establish method and volumes of repairs that ensure its reliable operation until the next regular survey under specified operating conditions. However, the application of the new Instruction will not allow us to measure every element of the ship’s hull, but only those elements whose measurement is necessary. An algorithm for filling out the defect detection report tables in their electronic version is provided in the paper, and the need for a preliminary (calculation) stage of defect detection, which is essentially an analogue of the concept of the zero stage in ship repair, is substantiated. The preliminary stage of defect detection is based on a probabilistic approach to predicting the residual thicknesses of individual ship’s hull elements using known wear rates and data from ship’s hull defects detection performed previously. The results of calculations of a test example for a representative vessel, for which detailed information both on the hull constructions and on the results of measurements during the previous survey and repair is available, are presented. Using the test example, it is proven that introduction of the preliminary stage of defect detection process will reduce number of measurements of hull structures by 78 % compared to the traditional approach to performing the detection work. The necessity of development at the preliminary stage not only electronic table, but illustrating maps of measurements of the main hull structures, examples of which are given, is substantiated.

About the Author

A. B. Krasiuk
Admiral Makarov State University of Maritime and Inland Shipping
Russian Federation

Krasiuk, Alla B. — PhD, Associate Professor,

5/7, Dvinskaya Str., St. Petersburg, 198035.



References

1. Baryshnikov, Sergei O., Alla B. Krasiuk, and Valentin B. Chistov. “Optimal fault detection of river ship hulls.” Vestnik Gosudarstvennogo universiteta morskogo i rechnogo flota imeni admirala S. O. Makarova 14.6 (2022): 915–930. DOI: 10.21821/2309-5180-2022-14-6-915-930.

2. Krasiuk, Alla B., Valentin B. Chistov, and Vladimir G. Nikiforov. “Reliability of river fleet vessels hull elements.” Vestnik Gosudarstvennogo universiteta morskogo i rechnogo flota imeni admirala S. O. Makarova 15.6 (2023): 1041–1053. DOI: 10.21821/2309-5180-2023-15-6-1041-1053.

3. Baryshnikov, S. O., T. O. Karklina, and V. B. Chistov. “Repair and reliability of river service ships.” Sudostroenie 1(854) (2021): 10–13. DOI: 10.54068/00394580_2021_1_10.

4. Krasyuk, Alla Borisovna, and Valentin Borisovitch Tchistov. “Defect detection and repair of ice belt sheets for inland water icebreakers.” Vestnik Gosudarstvennogo universiteta morskogo i rechnogo flota imeni admirala S. O. Makarova 5(33) (2015): 86–92. DOI: 10.21821/2309-5180-2015-7-5-86-92.

5. Krasyuk, A. B., and V. B. Chistov. “Methodological outlines of the defect detection of the vessels steel hulls.” Vestnik Gosudarstvennogo universiteta morskogo i rechnogo flota imeni admirala S. O. Makarova 3 (2013): 87–93.

6. Kochnev, Yuri A., Irina B. Kochneva, and Oleg K. Zyablov. “Development of a mathematical model and algorithm for the sequence of fault detection of the ship’s hull.” Russian Journal of Water Transport 78 (2024): 66–75. DOI: 10.37890/jwt.vi78.455.

7. Zyablov, Oleg K., Yury A. Kochnev, and Irina B. Kochneva. “Automated generation of the ship fault detection report by using the graphical-mathematical model of the hull.” Bulletin of VSAWT 59 (2019): 62–69.

8. Zyablov, O. K., and E. V. Funtikova. “Graphics modeling of repair items included in hull and propulsion and steering assembly fault finding sheets presented in electronic form.” Bulletin of VSAWT 31 (2012): 57–59.

9. Bimberekov, P. A. “Same aspects of monitoring of ship hull strength during its exploitation.” Nauchnye problemy transporta Sibiri i Dal’nego Vostoka 2 (2009): 155–160.

10. Burmistrov, E. G., and D. A. Kromov. “Analysis of the causes and the localization areas of the hull outer plating wear of inland and mixed (river-sea) navigation ships.” Russian Journal of Water Transport 70 (2022): 15–29. DOI: 10.37890/jwt.vi70.244.

11. Burakovskiy, E. P., and P. E. Burakovskiy. “Rationing of parameters of progressing defects of the ships hulls.” Innovatsii v nauke i obrazovanii — 2011. Trudy IX Mezhdunarodnoi nauchnoi konferentsii. Vol. 1. Kaliningrad: Kaliningradskii gosudarstvennyi tekhnicheskii universitet, 2011. 345–347.

12. Ogneva, V. V., and E. G. Burmistrov. “Features of forecasting regarding ship hill wear when estimating shiprepair scope.” Sudostroenie 5(816) (2014): 46–49.

13. Bimberekov, P.A. “Determination of needed number of measurements of residual thicknesses on part of ship hull connection element on base of relationships for reserve of thicknesses and recommended rates of wear.” Nauchnye problemy transporta Sibiri i Dal’nego Vostoka 1 (2015): 76–80.

14. Zinov’ev, P. V., V. A. Kompanets, and O. E. Surov. “Metodika otsenki dostovernosti rezul’tatov zamerov ostatochnykh tolshchin pri defektatsii sudovykh konstruktsii.” Nauchno-tekhnicheskii sbornik Rossiiskogo morskogo registra sudokhodstva 40–41 (2015): 41–48.

15. Girin, S. N., I. A. Gulyaev, and Yu. I. Efimenkov. “General principles of accounting operational limitations for justification of a navigation characteristics of coastal ships.” Bulletin of VSAWT 57 (2018): 18–26.


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For citations:


Krasiuk A.B. Forecasting the volume of defect detection works on a river fleet vessel hull. Vestnik Gosudarstvennogo universiteta morskogo i rechnogo flota imeni admirala S. O. Makarova. 2024;16(2):271-281. (In Russ.) https://doi.org/10.21821/2309-5180-2024-16-2-271-281

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ISSN 2309-5180 (Print)
ISSN 2500-0551 (Online)