DESIGN OF ICE STRENGTHENING FOR ICE-GOING VESSELS AND ICEBREAKERS BASED ON THE REQUIREMENTS OF THE RULES OF THE RUSSIAN MARITIME REGISTER OF SHIPPING IN SPECIALIZED SOFTWARE (CADS-HULL SYSTEM)

The paper presents a mathematical formulation of the ice-strengthening design problem based on the requirements of the Rules of the Russian Maritime Register of Shipping (RMRS) for side structures with transverse framing system. The authors propose algorithms for solving the problem using rolled section and welded composite sections for the manufacture of main stiffeners (frames). They consider the methodology for generating the initial data by using the CADS-Hull automated parametric design system developed at the Department of Ship Design and Technical Operation of St. Petersburg Marine Technical University. The authors substantiate the feasibility, expediency and effectiveness of using a direct enumeration algorithm for solving the general nonlinear mathematical programming problem. Thus, it is shown that the applied design methods minimize the mass of ice strengthening structures in the area of the vessel’s ice belt.

1. Russian Maritime Register of Shipping. Rules for classification and construction of sea-going ships. Pt. 2: Hull. Saint Petersburg, 2025. (In Russian).

2. Ice Class Regulations and the Application Thereof. ¹ TRAFICOM/68863/03.04.01.00/2021, Finnish Transport and Communications Agency, 2021.

3. China Classification Society. Rules for Classification of Sea-Going Steel Ships. Part two “Hull”, 2024.

4. IACS Requirements concerning Polar Class. I2 Structural Requirements for Polar Class Ships, Rev. 4, Dec 2019.

5. Kurdyumov V. A., Hejsin D. E. Gidrodinamicheskaya model’ udara tverdogo tela o led. Pt. 12 [Hydrodynamic Model of Solid Body Impact on Ice]. Prikladnaya mekhanika [Kiev], 1976, iss. 10, pp. 103—109. (In Russian).

6. Kurdyumov V. A., Hejsin D. E. Opredelenie nagruzok pri udare sudna vertikalnym bortom o kromku ledyanogo polya [Determination of loads when vessel’s hull impacts of the vertical side with the edge of the ice field], Nauchno-tekhnicheskii sbornik Registra SSSR, 1984, iss. 14, pp. 3—10. (In Russian).

7. Appolonov E. Ì., Platonov V. V., Tryaskin V. N. Development of methods for determining ice loads and requirements for ice reinforcement structures. Arctic: Ecology and Economy, 2020, no. 1 (37), pp. 65—81. (In Russian).

8. Appolonov E. M., Platonov V. V., Tryaskin V. N. Ice load assignment procedure for bows of ships with vertical sides and bulbous lines. Transactions of the Krylov State Research Centre, 2019, Special Ed. 1, pp. 17—23. (In Russian).

9. Svistunov I., Platonov V., Tryaskin V. Calculation procedure for design structural loads on large berth-connected ships. Transactions of the Krylov State Research Centre, 2021, no. 1 (395), pp. 35—41. (In Russian).

10. Platonov V. V., Tryaskin V. N. Methodological basis for determining the design ice loads on the hull of modern ice vessels in the bow and stern areas. Arctic: Ecology and Economy, 2019, no. 4 (36), ðð. 83—98. (In Russian).

11. Kim E., Amdahl J., Wang Xintong. Making sense of speed effects on ice crushing pressure-area relationships in IACS ice-strengthening rules for ships. Ocean Engineering, 2021, vol. 230, p. 109059.

12. Svistunov I. A., Filchuk K. V., Baklanov A. V., Raev D. L., Stribny O. Yu., Gavrilov Yu. G. Macroscale experimental studies of ice compression in the Arctic Ocean during the first drift of the ice-resistant self-propelled platform “North Pole” as part of the polar drifting station “North Pole-41” in 2022—2023. Arctic: Ecology and Economy, 2024, vol. 14, no. 2, pp. 274—285. (In Russian).

13. Wu G., Kong S., Tang W., Lei R., Ji S. Statistical analysis of ice loads on ship hull measured during Arctic navigations. Ocean Engineering, 2021, vol. 223, p. 108642.

14. Jeon M., Choi K., Min J., Ha J. Estimation of local ice load by analyzing shear strain data from the IBRV ARAON’s 2016 Arctic voyage. Intern. J. of Naval Architecture and Ocean Engineering, 2018, vol. 10, iss. 3, pp. 421—425.

15. Garin E. N. Poiskovye metody v proektirovanii sudovykh korpusnykh konstruktsii, ustroistv i system: Uchebnoe posobie [Search methods in designing ship hull structures, devices and systems: Training aid]. Saint Petersburg, SPbSMTU, 2006, 118 p. (In Russian).

16. Rodionov A. A. Matematicheskie metody proektirovaniya optimal’nyh konstruktsii sudovogo korpusa [Mathematical methods of designing optimal ship hull structures]. Leningrad, Sudostroenie, 1990. (In Russian).

17. Kim D. H., Paik J. K. Ultimate limit state-based multi-objective optimum design technology for hull structural scantlings of merchant cargo ships. Ocean Engineering, 2017, vol. 129, pp. 318—334.

18. Wang Y., Wu J. M. Mid-Section Structure Optimization of Oil Tanker Based on CSR Prescriptive Analysis. EngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization. [S. l.], Springer Intern. Publ., 2019, pp. 1205—1215.

19. Na S. S., Karr D. G. Development of Pareto strategy multi-objective function method for the optimum design of ship structures. Intern. J. of Naval Architecture and Ocean Engineering, 2016, 8 (6), pp. 602—614.

20. Nobukawa H., Zhou G. Discrete Optimization of Ship Structures with Genetic Algorithms. J. of the Society of Naval Architects of Japan, 1996, 179, pp. 293—301.

21. Appolonov E. M., Tarovik O. V. Raschetnaya metodika otsenki vliyaniya ledovoi kategorii, formy korpusa i konstruktivnykh osobennostei na vesovye kharakteristiki sudov ledovogo plavaniya [Calculation methodology for assessing the influence of ice class, hull form and design features on weight characteristics of ice-going vessels]. Transactions of the Krylov State Research Centre, 2012, no. 70 (354), pp. 99—116. (In Russian).

22. Tryaskin V. N., Lam Van Hung. Nauchno-metodicheskie osnovy algoritmov opredeleniya sostoyaniya korpusa sudna po trebovaniyu normativnykh dokumentov klassificatsionnykh organizatsii [Scientific and methodological foundations of algorithms for determining the technical condition of ship according to the requirements of regulatory documentation of assigning authority]. Morskoi Vestnik, 2007, no. 4 (24), pp. 94—97. (In Russian).

23. Ryumin S. N., Tryaskin V. N. Methodical fundamentals and algorithms of software module for verification of fatigue life calculations in Atlas automated system. Transactions of the Krylov State Research Centre, 2019, Special Ed. 1, pp. 29—37. (In Russian).

24. Kultsep A., Manukhin V., Plotnikov K., Ryumin S., Tryaskin V. Upgrade of FEM-based software for analysis of FESTA-2020 rod system to be applied in CAD system ALMAZ-K for structural ship design. Transactions of the Krylov State Research Centre, 2020; Special Ed. 2, pp. 97—102. (In Russian).

25. Ryumin S., Tryaskin V. Computer-Aided System for Parametric Design of Ship Hull Structures—CADS-Hull. Machines, 2022; 10, 262.

26. Platonov V. V., Tryaskin V. N. Architectural and structural features of Arctic double-acting vessels. Arctic: Ecology and Economy, 2019, no. 3 (35), pp. 84—96. (In Russian).

27. Tryaskin V. N. Metodologiya avtomatizirovannogo proektirovaniya konstruktsii korpusa sudna [Methodology of computer-aided design of ship hull structures]: Dissertation of ... Doctor of Engineering Science: 05.08.03. Saint Petersburg, 2007.