APPROXIMATE PROBABILISTIC METHOD OF CALCULATING SHIP LONGITUDINAL STRENGTH
Recently, classification societies have taken an interest in the statistical approach to ship longitudinal strength and the probabilistic methods for defining new design criteria. This interest is partially a result of the development and the growing demand for large tankers; it is reflected in the increasing research done by the regulatory bodies in these areas. This paper presents a framework for an approximate probabilistic method to calculate ship longitudinal strength with possible implementation in classification societies rules in mind. The most important features of this method are that it is simple, realistic, consistent, and distribution-free. No assumptions are made with regard to the forms of the distribution functions of the random variables involved in the procedure. Nevertheless, the uncertainties associated with these variables are taken into consideration and are quantified by their coefficients of variation. Analyses of eighteen ships of different types are made in order to serve as a preliminary investigation of the appropriate level of safety as measured by a proposed safety index.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/00224502
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Corporate Authors:
Society of Naval Architects and Marine Engineers
601 Pavonia Avenue
Jersey City, NJ United States 07306-2907 -
Authors:
- Mansour, A E
- Publication Date: 1974-9
Media Info
- Features: References;
- Pagination: p. 203-213
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Serial:
- Journal of Ship Research
- Volume: 18
- Issue Number: 3
- Publisher: Society of Naval Architects and Marine Engineers
- ISSN: 0022-4502
- EISSN: 1542-0604
- Serial URL: https://onepetro.org/jsr
Subject/Index Terms
- TRT Terms: Longitudinal strength; Ship classification; Structural analysis
- Subject Areas: Marine Transportation; Materials;
Filing Info
- Accession Number: 00071639
- Record Type: Publication
- Source Agency: Society of Naval Architects and Marine Engineers
- Files: TRIS
- Created Date: Nov 12 1974 12:00AM