Probabilistic surrogate-based optimization of ship hull-propulsor design with bi-level infill sampling technique

This work develops a new multi-level hull-propulsor optimization tool, systematically considering the full range of expected operating conditions. Different solvers with variable fidelities are used to evaluate hydrodynamic objective functions and constraints. The bi-fidelity surrogate model is applied to integrate the accuracy advantage of a medium-fidelity solver with the efficiency advantage of a low-fidelity solver. A bi-level technique of infill sampling integrated with a new version of multi-objective evolutionary algorithms is presented to enhance the effectiveness of the surrogate models. A ship velocity- and sea state-based joint probability density function is employed to take into account the real lifetime operational space. The well-known S175 containership, KP505 propeller and a MAN B&W marine engine are utilized as the initial hull-propulsor model. The final results show that the optimization framework is able to achieve some optimum hull-propulsor designs from the lifetime fuel consumption and energy efficiency design index points of view and to reduce the overall lifetime ownership cost significantly.

• Record URL:
  • https://doi.org/10.1016/j.oceaneng.2023.115614
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S0029801823019984
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/00298018
• Supplemental Notes:
  • © 2023 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • Zakerdoost, Hassan
  • Ghassemi, Hassan
  • 0000-0002-6201-346X
• Publication Date: 2023-10-15

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: 115614
• Serial:
  • Ocean Engineering
  • Volume: 286
  • Issue Number: 0
  • Publisher: Pergamon
  • ISSN: 0029-8018
  • EISSN: 1873-5258
  • Serial URL: http://www.sciencedirect.com/science/journal/00298018

Subject/Index Terms

• TRT Terms: Containerships; Design; Energy consumption; Hulls; Hydrodynamics; Optimization
• Subject Areas: Design; Energy; Marine Transportation; Vehicles and Equipment;

Filing Info

• Accession Number: 01891785
• Record Type: Publication
• Files: TRIS
• Created Date: Aug 29 2023 9:09AM