Special Issue "Safety Assessment of Ships and Offshore Structures under Severe Condition"

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

Deadline for manuscript submissions: 30 April 2020.

Special Issue Editor

Assoc. Prof. Dr. Hirotada Hashimoto
E-Mail Website
Guest Editor
1. Kobe Ocean-Bottom Exploration Center, Kobe University, Kobe, Japan
2. Graduate School of Maritime Sciences, Kobe University, Kobe, Japan
Interests: safety assessment of ships and offshore structures; intelligent systems for marine transportation; autonomous underwater vehicles for ocean-bottom exploration; tsunami maritime disaster prevention

Special Issue Information

Dear Colleagues,

Safety assessment of ships and offshore structures is a fundamental requirement for their design and actual operation at sea. However, it is still a challenging problem especially under severe environmental conditions, e.g., extreme winds and waves and green water. In addition, ships and offshore structures could encounter collision, flooding, and fire accidents as well as structural damages during their long-term operation at sea. Nowadays, safety for ships operating in polar waters is attracting attention from the shipping industry. Ship safety under tsunami attack is also a concern to be addressed. This Special Issue invites all contributions in connection with safety assessments of ships and offshore structures exposed to severe conditions. The severe conditions may include the following:

  • Extreme winds and waves
  • Green water and water on deck
  • Collision, grounding, and drifting
  • Fire and flooding
  • Passenger evacuation
  • Structural damages
  • Polar waters and ice
  • Tsunami attack

Associate Professor, Dr. Hirotada Hashimoto

Guest Editor

 

Keywords

  • Methodology
  • Numerical methods
  • Experimental methods
  • CFD simulation
  • Verification and validation
  • Deterministic and stochastic approach
  • Countermeasures/risk control options

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

Open AccessArticle
Ultimate Limit State Function and Its Fitting Method of Damaged Ship under Combined Loads
J. Mar. Sci. Eng. 2020, 8(2), 117; https://doi.org/10.3390/jmse8020117 - 14 Feb 2020
Abstract
The ultimate limit state function is one of the premises for the assessment of structure strength and the safety of ships under severe conditions. In order to study the residual strength of damaged ships under the combined load of vertical and horizontal bending [...] Read more.
The ultimate limit state function is one of the premises for the assessment of structure strength and the safety of ships under severe conditions. In order to study the residual strength of damaged ships under the combined load of vertical and horizontal bending moments acting on the hull girder, the ultimate limit state function of a damaged ship under combined load, and its fitting methods are investigated in this paper. An improved Smith Method is adopted to calculate the residual load carrying capacity of damage ships, where the rotation and translation of the neutral axis of the damaged cross-section are obtained using a particle swarm optimisation method. Because the distribution curve of the residual load carrying capacity of a damaged ship under combined load is asymmetric, the application of traditional explicit polynomial fitting methods results in poor accuracy. In this study, a piecewise weighted least square fitting method is adopted so as to guarantee the continuity in the transitions, and a method is proposed for fitting the ultimate limit state function of a damaged ship under combined load. Calculations of the residual strength show that the improved Smith Method is more accurate than the original Smith Method for the accurate position of the neutral axis. The error analysis of the fitting methods shows that the ultimate limit state function that is fitted using a piecewise weight least square method is more accurate. Full article
Show Figures

Figure 1

Back to TopTop