skip to main content

OPTIMIZATION OF DOUBLE BOTTOM DESIGN IN CARGO HOLD AREAS: CASE STUDY OF TANKER WITH LENGTHS 150 M AND ABOVE

Raybonda Reinaldi Winarko  -  Department of Naval Architecture, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia, Indonesia
Berlian Arswendo Adietya scopus  -  Department of Naval Architecture, Universitas Diponegoro, Semarang, Indonesia, Indonesia
Andi Trimulyono orcid scopus  -  Department of Naval Architecture, Universitas Diponegoro, Semarang, Indonesia, Indonesia
Sunardi Sunardi scopus  -  Marine and Fisheries Faculty, Universitas Brawijaya, Malang, Indonesia, Indonesia
Stefanus Eko Wiratno scopus  -  Department of Industrial and Systems Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia, Indonesia
Ardiansyah Musa Efendi orcid scopus  -  Huawei Singapore Research Center, Singapore, Singapore
*Ardi Nugroho Yulianto orcid scopus  -  Department of Naval Architecture, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia, Indonesia
Received: 13 May 2026; Published: 3 Jul 2026.
Editor(s): Muhammad Iqbal
Open Access Copyright (c) 2026 Kapal: Jurnal Ilmu Pengetahuan dan Teknologi Kelautan
Creative Commons License This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Citation Format:
Abstract

The shipping industry is keep advancing to produce the most efficient ship designs, including tanker ship designs. According to MARPOL Annex 1 Regulation 19, oil tankers with a deadweight of over 600 tonnes and built after 6 July 1996 must have double side and double bottom structures. These structures are intended to prevent oil spill in the event of hull damaged. However, they significantly reduce the cargo hold volume. Therefore, the objective of this research is to optimize the cargo hold volume by optimizing the double bottom design along the cargo oil tank. One of the optimization methods that can solve this problem is the brute force search method. Unlike heuristic algorithms, it provides exact rather than approximate results, making it ideal for solving small-scale problems with shorter iteration times. In this research, the variables are the locations of two cargo landing points at each knuckle of the ship's cargo oil tank. The constraints are the regulations governing clearance, stability, freeboard, and longitudinal strength of ship. The research resulted in a new design that increased the cargo oil tank volume by 375.996 m³, equivalent to 0.865%. A new ship with the same payload can be constructed using an optimized cargo oil tank configuration, reducing both the cargo tank length and the overall ship length by 1.011 m.

Fulltext Email colleagues
Keywords: Brute Force Search; Cargo Landing Point; Double Bottom; Optimization; Tanker

Article Metrics:

  1. Y. Y. Yu, Y. Lin, M. Chen, and K. Li, “A New Method for Ship Inner Shell Optimization Based on Parametric Technique,” International Journal of Naval Architecture and Ocean Engineering, vol. 7, no. 1, pp. 142–156, 2015, doi: 10.1515/ijnaoe-2015-0011
  2. J. H. Park, J. E. Choi, and H. H. Chun, “Hull-Form Optimization of KSUEZMAX to Enhance Resistance Performance,” International Journal of Naval Architecture and Ocean Engineering, vol. 7, no. 1, pp. 100–114, 2015, doi: 10.1515/ijnaoe-2015-0008
  3. H. Wang, X. Lang, and W. Mao, “Voyage optimization combining genetic algorithm and dynamic programming for fuel/emissions reduction,” Transp. Res. D Transp. Environ., vol. 90, p. 102670, Jan. 2021, doi: 10.1016/j.trd.2020.102670
  4. A. Nazemian and P. Ghadimi, “Shape optimisation of trimaran ship hull using CFD-based simulation and adjoint solver,” Ships and Offshore Structures, vol. 17, no. 2, pp. 359–373, Feb. 2022, doi: 10.1080/17445302.2020.1827807
  5. B. Liu, J. Jiang, and D. K. Kim, “Structural analysis and optimisation of GFRP sandwich panel with steel stiffeners in upper decks of large passenger ships,” Ships and Offshore Structures, pp. 1–13, Mar. 2025, doi: 10.1080/17445302.2025.2478367
  6. N. Bahrami and S. M. Siadatmousavi, “Ship voyage optimisation considering environmental forces using the iterative Dijkstra’s algorithm,” Ships and Offshore Structures, vol. 19, no. 8, pp. 1173–1180, 2024, doi: 10.1080/17445302.2023.2231200
  7. Y. Wei, H. Zhang, D. Jiang, Y. Zhang, and S. Xiao, “Optimising ship principal dimensions with a Dung Beetle Optimizer and random forest proxy model,” Ships and Offshore Structures, vol. 20, no. 11, pp. 1789–1800, Nov. 2025, doi: 10.1080/17445302.2024.2397928
  8. A. M. H. Elhewy, A. M. A. Hassan, and M. A. Ibrahim, “Weight Optimization of Offshore Supply Vessel Based on Structural Analysis Using Finite Element Method,” Alexandria Engineering Journal, vol. 55, no. 2, pp. 1005–1015, 2016, doi: 10.1016/j.aej.2016.02.032
  9. J. W. Yu, C. M. Lee, I. Lee, and J. E. Choi, “Bow Hull-Form Optimization in Waves of a 66,000 DWT Bulk Carrier,” International Journal of Naval Architecture and Ocean Engineering, vol. 9, no. 5, pp. 499–508, 2017, doi: 10.1016/j.ijnaoe.2017.01.006
  10. M. Sayebani, A. Mohammadrahimi, and H. K. Looyeh, “Weight and Cost Optimization of Midship Section Using Common Structural Rules,” pp. 20–22, 2020
  11. M. Aguiari, M. Gaiotti, and C. M. Rizzo, “Ship Weight Reduction by Parametric Design of Hull Scantling,” Ocean Engineering, vol. 263, no. August, p. 112370, 2022, doi: 10.1016/j.oceaneng.2022.112370
  12. Y. Wei, G. Pan, P. Paladaechanan, and D. Wan, “A novel hull form optimization framework based on multi-fidelity deep neural network,” Journal of Hydrodynamics, vol. 37, no. 1, pp. 149–159, Feb. 2025, doi: 10.1007/s42241-025-0007-4
  13. N. Demo, G. Ortali, G. Gustin, G. Rozza, and G. Lavini, “An efficient computational framework for naval shape design and optimization problems by means of data-driven reduced order modeling techniques,” Bollettino dell’Unione Matematica Italiana, vol. 14, no. 1, pp. 211–230, Mar. 2021, doi: 10.1007/s40574-020-00263-4
  14. B.-J. Zhang and Z.-X. Zhang, “Research on theoretical optimization and experimental verification of minimum resistance hull form based on Rankine source method,” International Journal of Naval Architecture and Ocean Engineering, vol. 7, no. 5, pp. 785–794, Sep. 2015, doi: 10.1515/ijnaoe-2015-0055
  15. C. Jiang, S. Yang, P. Nie, and X. Xiang, “Multi-objective structural profile optimization of ships based on improved Artificial Bee Colony Algorithm and structural component library,” Ocean Engineering, vol. 283, p. 115124, Sep. 2023, doi: 10.1016/j.oceaneng.2023.115124
  16. A. N. Yulianto, “Research on The Methodology of Hull Weight Reduction Considering The Variations of Compartment Arrangement and Ship Length for Small Coastal Tanker,” Mokpo National University, 2023
  17. United Nations Conference on Trade and Development, REVIEW OF MARITIME TRANSPORT 2025 : staying the course in turbulent waters. UNITED NATIONS, 2026
  18. H. A. Kurniawati, Statutory Regulations. Surabaya: Departemen Teknik Perkapalan Fakultas Teknologi Kelautan ITS, 2020
  19. IMO, International Convention for the Prevention of Pollution from Ships (MARPOL). London, 1973
  20. IACS, Common Structural Rules for Bulk Carriers and Oil Tankers. London, 2023
  21. M. Mahoor, F. R. Salmasi, and T. A. Najafabadi, “A Hierarchical Smart Street Lighting System With Brute-Force Energy Optimization,” IEEE Sens. J., vol. 17, no. 9, pp. 2871–2879, May 2017, doi: 10.1109/JSEN.2017.2684240
  22. Z. Xing, Z. Zhang, J. Guo, Y. Qin, and L. Jia, “Rail train operation energy-saving optimization based on improved brute-force search,” Appl. Energy, vol. 330, p. 120345, Jan. 2023, doi: 10.1016/j.apenergy.2022.120345
  23. J. J. Cartelle Barros, M. Lara Coira, M. P. de la Cruz López, A. del Caño Gochi, and I. Soares, “Optimisation Techniques for Managing the Project Sustainability Objective: Application to a Shell and Tube Heat Exchanger,” Sustainability, vol. 12, no. 11, p. 4480, Jun. 2020, doi: 10.3390/su12114480
  24. K. J. Rawson and E. C. Tupper, Basic Ship Theory, 5th ed. Oxford: Butterworth-Heinemann, 2001
  25. IMO, Intact Stability (IS) Code 2008. London, 2008

Last update:

No citation recorded.

Last update:

No citation recorded.