Ultimate Strength of Stiffened Panels Assessment Taking Into Account Model Uncertainty

• Main Authors: Toderan, Catalin, Richir, Thomas, Caprace, Jean-David, Rigo, Philippe
• Format: Conference Object
• Language: English
• Published: 2006
• Subjects: Ultimate strength; Reliability; Load shortening model; Statistical moment; Model uncertainty; Progressive collapse analysis; Engineering; computing & technology; Mechanical engineering; Civil engineering; Materials science & engineering; Ingénierie; informatique & technologie; Ingénierie mécanique; Ingénierie civile; Science des matériaux & ingénierie; Arctic
• Online Access: https://orbi.uliege.be/handle/2268/27021; https://orbi.uliege.be/bitstream/2268/27021/1/OMAE06.pdf

peer reviewed 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.