References

• 2012Data-driven uncertainty quantification using the arbitrary polynomial chaos expansion451 cited
• 2011Reliability in composites – A selective review and survey of current development165 cited
• 2010A critical reliability evaluation of fibre reinforced composite materials based on probabilistic micro and macro-mechanical analysis153 cited
• 2017Metamodel based high-fidelity stochastic analysis of composite laminates: A concise review with critical comparative assessment144 cited
• 2018Uncertainty quantification in multiscale simulation of woven fiber composites131 cited
• 2011Reliability based optimization of laminated composite structures using genetic algorithms and Artificial Neural Networks113 cited
• 2015Fuzzy uncertainty propagation in composites using Gram–Schmidt polynomial chaos expansion86 cited
• 2018Probabilistic micromechanical spatial variability quantification in laminated composites75 cited
• 2017Uncertainty propagation of p-boxes using sparse polynomial chaos expansions72 cited
• 2018State of the art of composite structures in non-deterministic framework: A review72 cited
• 2017Complete monotonic expression of the fourth-moment normal transformation for structural reliability71 cited
• 2019An iterative dimension-by-dimension method for structural interval response prediction with multidimensional uncertain variables65 cited
• 2019Stochastic multi-scale modeling of carbon fiber reinforced composites with polynomial chaos