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Lookup NU author(s): Dr Simon Benson, Dr Jonathan Downes, Professor Bob Dow
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This article presents a comparison of several methods to predict the primary longitudinal bending moment-curvature relationship for a series of box beams with dimensions equivalent to a large, lightweight aluminium ship. The comparative study includes the application of an extended progressive collapse methodology, which has been developed specifically to predict the strength behavior of lightweight hull structures under primary bending moment and accounts for compartment-level, gross panel buckling effects of the orthogonally stiffened structure. The approach is based on the principles of the Smith progressive collapse method, which has been shown to be a capable measure of ultimate strength when applied to steel ships. However, a fundamental premise of the Smith method is that buckling forms an interframe. The extended method discards this assumption and includes overall gross panel buckling effects in the determination of girder strength. For the case study, both the interframe and compartment behavior of the case study box girders are compared. The results are also compared with nonlinear finite element analyses of the box girders. The nonlinear finite element method is being increasingly applied to predict hull girder progressive collapse and, provided computation time is acceptable, will predict collapse modes over an entire compartment. The extended progressive collapse method is shown to compare favorably to the equivalent finite element analysis when overall buckling modes dominate.
Author(s): Benson S, Downes J, Dow RS
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: Transactions - Society of Naval Architects and Marine Engineers
Year of Conference: 2015
Pages: 467-476
Acceptance date: 01/01/1900
ISSN: 0081-1661
Publisher: Society of Naval Architects and Marine Engineers
URL: http://www.sname.org/HigherLogic/System/DownloadDocumentFile.ashx?DocumentFileKey=eb1d7d07-cb48-4398-a795-ed5bbe9191a6
Library holdings: Search Newcastle University Library for this item
ISBN: 9780939773954
