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| Reference : Ultimate Strength of Stiffened Panels Assessment Taking Into Account Model Uncertainty |
| Scientific congresses and symposiums : Paper published in a book | |||
| Engineering, computing & technology : Civil engineering Engineering, computing & technology : Mechanical engineering Engineering, computing & technology : Materials science & engineering | |||
| http://hdl.handle.net/2268/27021 | |||
| Ultimate Strength of Stiffened Panels Assessment Taking Into Account Model Uncertainty | |
| English | |
| Toderan, Catalin [ > > ] | |
| Richir, Thomas [ > > ] | |
Caprace, Jean-David  [Université de Liège - ULg > Département Argenco : Secteur TLU+C > ANAST (Systèmes de transport et constructions navales) >] | |
| Rigo, Philippe [Université de Liège - ULg > Département ArGEnCo > Constructions hydrauliques et navales >] | |
| 4-Jun-2006 | |
| Proceedings of OMAE2006 | |
| 1-9 | |
| No | |
| International | |
| 25th International Conference on Offshore Mechanics and Arctic Engineering (OMAE) | |
| 4-9 June 2006 | |
| ASME | |
| Hamburg | |
| Germany | |
| [en] Ultimate strength ; Reliability ; Load shortening model ; Statistical moment ; Model uncertainty ; Progressive collapse analysis | |
| [en] This paper presents a methodology to take into account model uncertainties related to the load-end shortening curve of stiffened panels. This method is a part of a research activity carried out at University of Liège. His goal is to propose a reliability based model to assess hull girder ultimate strength using a progressive collapse algorithm. The numerical results presented here concern the load-shortening model chosen for this research, which is based on Bureau Veritas rules. Model uncertainty is quantified as a parameter considered as a random variable. Four statistical moments (mean, standard deviation, skewness and kurtosis) of this parameter are calculated and analyzed using a data-base of stiffened panels test results published in recent years. In order to increase the number of "actual" values for the statistical assessment, the data-base is completed with non-linear finite element analysis results. The paper contains also some recommendation for the implementation of the proposed method in ultimate strength reliability based analysis. | |
| Researchers ; Professionals | |
| http://hdl.handle.net/2268/27021 |
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