References

• 1972Digital simulation of random processes and its applications1,663 cited
• 2004A critical appraisal of reliability estimation procedures for high dimensions476 cited
• 2014Review and application of Artificial Neural Networks models in reliability analysis of steel structures392 cited
• 2004Reliability of structures in high dimensions, part I: algorithms and applications370 cited
• 1987Guinness, Gosset, Fisher, and Small Samples338 cited
• 2008Monte Carlo Methods for Estimating the Extreme Response of Dynamical Systems157 cited
• 2004On the accuracy of the polynomial chaos approximation140 cited
• 2020An active learning method combining deep neural network and weighted sampling for structural reliability analysis128 cited
• 1993Combination of probabilistic and convex models of uncertainty when scarce knowledge is present on acoustic excitation parameters126 cited
• 2006Developments in stochastic structural mechanics123 cited
• 2002Non-Gaussian simulation using Hermite polynomial expansion: convergences and algorithms122 cited
• 2015Modeling strongly non-Gaussian non-stationary stochastic processes using the Iterative Translation Approximation Method and Karhunen–Loève expansion93 cited
• 2012Piecewise polynomial chaos expansion with an application to brake squeal of a linear brake system91 cited
• 2013Hybrid uncertain analysis for structural–acoustic problem with random and interval parameters