Optimal fatigue analysis of structures during complex loadings

• Main Authors: Karaouni Habib, Zarka Joseph
• Format: Article
• Language: English
• Published: EDP Sciences 2016-01-01
• Series: International Journal for Simulation and Multidisciplinary Design Optimization
• Subjects: Fatigue; Machine Learning; Optimal Design; Inelastic analysis; Multi-axial loadings
• Online Access: http://dx.doi.org/10.1051/smdo/2016006

A new framework for high cycle fatigue analysis of metallic structures under complex multi-parameter loadings was here developed. This allows to reduce the analysis on a 2-D window with a characterized one-parameter cyclic loading thanks to an equivalence rule relative to damage between any two loadings. The simplified inelastic analysis introduced by J. Zarka [J. Zarka et al. 1990. A new approach in inelastic analysis of structures. CADLM] was used to find the limit state of the structure. A new design rules for fatigue analysis by utilizing automatic learning systems was successfully performed. A database was built by coupling numerical simulations and experimental results on several welded specimens which are considered as a general structure in the proposed approach. This could be possible by the introduction of an intelligent description of a general fatigue case based on the actual theories and models. A software, FATPRO [M.I. Systems, FatPro, available at http://www.mzintsys.com/our_products_fatpro.html], based on this work has been developed at MZ Intelligent Systems.