Damage Stability of Ships
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: closed (30 April 2023) | Viewed by 16913
Special Issue Editors
Interests: ship design; ship hydrodynamics; intact and damage stability; numerical and optimization methods; maritime regulations; risk assessment
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Ensuring sufficient damage stability of ships and, thus, their safety in case of flooding of watertight spaces is essential for ship survivability and for the safety of life at sea. During the past century, modeling and calculation methods have been developed, as well as assessment criteria, ranging from simple floodable length analyses to extensive probabilistic damage stability assessments, such as in the frame of the current international SOLAS regulations. More recently, novel numerical simulations methods have been also developed, with focus on the modeling of the physics of the ensuing physical phenomena, namely, the flooding process of damaged ships, employing both simple hydraulic models and advanced CFD, while also considering the effects of the surrounding sea state. In addition, improvements to the damage stability assessment framework and accident statistics, as well as decision support in flooding emergency, are being developed.
The purpose of the present Special Issue is to publish innovative research in the area, to provide a professional and rigorous review process with a rapid turnaround time, and to disseminate the articles freely for research, teaching, and reference purposes. High-quality papers are encouraged for publication, directly related to various aspects of damage stability, as mentioned in the keywords below.
Prof. Dr. Apostolos Papanikolaou
Prof. Dr. Pekka Ruponen
Guest Editors
Manuscript Submission Information
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Keywords
- damage stability
- damaged ship motions
- flooding simulation
- probabilistic methods
- decision support in emergency
- risk assessment
- accident statistics
- regulatory developments
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