Line sampling for time-variant failure probability estimation using an adaptive combination approach KU LeuvenMatthias Faes
Operator norm-based determination of failure probability of nonlinear oscillators with fractional derivative elements subject to imprecise stationary Gaussian loads KU LeuvenMatthias Faes
Certified interval model updating using scenario optimization KU LeuvenRobin Callens, David Moens, Matthias Faes
Collaborative and Adaptive Bayesian Optimization for bounding variances and probabilities under hybrid uncertainties KU LeuvenMatthias Faes
A topology-based in-plane filtering technique for the combined topology and discrete fiber orientation optimization KU LeuvenKonstantinos Ypsilantis, Matthias Faes, Jan Ivens, David Moens
Effect of uncertainty of material parameters on stress triaxiality and Lode angle in finite elasto-plasticity-A variance-based global sensitivity analysis KU LeuvenMatthias Faes
Augmented first-order reliability method for estimating fuzzy failure probabilities KU LeuvenMatthias Faes
Efficient quantification of composite spatial variability: A multiscale framework that captures intercorrelation KU LeuvenBen Van Bavel, Yinglun Zhao, Matthias Faes, Dirk Vandepitte, David Moens
Certified interval model updating using scenario optimisation KU LeuvenRobin Callens, David Moens, Matthias Faes
Near-real-time online process control using grey-box models KU LeuvenMiriam Dodt, Augustin Persoons, Matthias Faes, David Moens