Safety of Ships and Marine Design Optimization

A special issue of Journal of Marine Science and Engineering (ISSN 2077-1312). This special issue belongs to the section "Ocean Engineering".

Deadline for manuscript submissions: 5 January 2026 | Viewed by 573

Special Issue Editor


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Guest Editor
Department of Naval Architecture, University of Strathclyde, Glasgow G4 0LZ, UK
Interests: naval architecture; ocean and marine engineering

Special Issue Information

Dear Colleagues,

The design of ships is becoming increasingly more challenging, with the concurrent disruptive influences of decarbonization, digitalization and increased autonomy. Ensuring the safety of these ships while increasing their efficiency to new levels is a critical priority in maritime engineering. With the growing demand for sustainability, automation, and resilience, the field is undergoing rapid transformation. This Special Issue aims to bring together cutting-edge research addressing both traditional and emerging challenges in ship safety and design optimization. Topics may include novel approaches to maritime safety, risk-based design, model-based systems engineering, ship stability and fire safety, structural integrity, human factors, digital twin technologies, AI-driven optimization, and the integration of safety regulations into early-stage design processes. We invite high-quality original research and review articles that advance theoretical understanding or offer practical solutions. The goal is to capture the state-of-the-art in this multidisciplinary research area and shape the future of a safer and more efficient maritime industry.

Prof. Dr. Evangelos Boulougouris
Guest Editor

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Keywords

  • maritime safety
  • stability of ships
  • holistic ship design optimization
  • risk-based design
  • model-based systems engineering
  • fire safety

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Published Papers (1 paper)

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Research

26 pages, 4376 KB  
Article
Research on Conflict Detection Methods in Detailed Design of Large Cruise Ships
by Feihui Yuan, Jinghua Li, Yiying Wang, Linhao Wang, Qi Zhou and Dening Song
J. Mar. Sci. Eng. 2025, 13(11), 2138; https://doi.org/10.3390/jmse13112138 - 12 Nov 2025
Viewed by 351
Abstract
Aiming to address the frequent design conflicts arising during multi-disciplinary collaboration in the detailed design phase of large cruise ships, coupled with the inadequacy of traditional methods in detecting unknown constraints, this paper proposes a hybrid conflict detection framework integrating interval propagation with [...] Read more.
Aiming to address the frequent design conflicts arising during multi-disciplinary collaboration in the detailed design phase of large cruise ships, coupled with the inadequacy of traditional methods in detecting unknown constraints, this paper proposes a hybrid conflict detection framework integrating interval propagation with intelligent algorithms. First, using the piping design of a cruise ship’s water supply system as a typical scenario, design constraints are categorized into known and unknown sets. For known constraints, the interval propagation algorithm is employed for rapid inference and verification. For unknown constraints that are difficult to express explicitly, an improved particle swarm optimization (IPSO) algorithm is proposed to optimize the parameters of a radial basis function (RBF) neural network, thereby constructing an IPSO-RBF conflict detection model. Case studies demonstrate the interval propagation algorithm’s efficacy in identifying conflicts within water supply pipeline designs. Concurrently, testing against historical design datasets reveals that the IPSO-RBF model outperforms multiple comparative models, including PSO-RBF, AFSA-RBF, etc., in terms of conflict detection accuracy, precision, and recall. This validates the method’s effectiveness and superiority in resolving design conflicts within complex systems for large cruise ships. Full article
(This article belongs to the Special Issue Safety of Ships and Marine Design Optimization)
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