Browsing School of Engineering by Author "Faes, Matthias"
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A collaborative Bayesian optimization method for estimation of failure probability bounds under mixed uncertainties
Wei, Pengfei; Beer, Michael; Faes, Matthias; ICASP14; Valdebenito, Marcos; Song, Jingwen; Hong, Fangqi (2023)Uncertainty quantification has been realized as of vital importance in structural reliability engineering to achieve credible results especially when the available information is scarce, incomplete, imprecise, etc., and ... -
Approximate Bayesian Computation considering Summary Statistics for Parameter Identification in Computational Mechanics
Misraji, Mauricio; Faes, Matthias; Valdebenito, Marcos; ICASP14; Pauly, Markus; Klein, Nadja (2023)Computational mechanics offers the possibility to construct numerical models that simulate the behavior of real-world engineering systems. These numerical models usually depend on a series of parameters such as material ... -
Estimation of failure probability function and its bounds under random and interval variables: A fully decoupled approach using Bayesian active learning
Liu, Jinxing; Beer, Michael; Valdebenito, Marcos; ICASP14; Faes, Matthias; Dang, Chao (2023)Random and interval variables can coexist in a single structural reliability analysis problem. The existing methods for such hybrid reliability analysis, however, cannot balance the computational cost and accuracy well. ... -
First Excursion Probability Sensitivity Estimation by means of Multidomain Line Sampling
ICASP14; Beer, Michael; Jerez, Danko; Misraji, Mauricio; Faes, Matthias; Valdebenito, Marcos (2023)The first excursion probability offers the means for measuring the chances that one or more dynamic responses of a structural system subject to stochastic loading exceed a prescribed threshold level within a certain time ... -
Geotechnical uncertainty analysis with sparse data using interval field method
Feng, Chengxin; Beer, Michael; ICASP14; Faes, Matthias; Broggi, Matteo (2023)Spatial uncertainty in soil parameters has essential implications for dyke failure analysis. The currently popular random field methods used to characterize the spatial uncertainty of soils have been very influential. ... -
Uncertainty Quantification of Buckling Loads of Thin and Slender Structures Applying Linear and Nonlinear Analysis
Faes, Matthias; Freitag, Steffen; Fina, Marc; Beer, Michael; Broggi, Matteo; Wagner, Werner; ICASP14; Valdebenito, Marcos (2023)The evaluation of the buckling load is a crucial issue when designing different types of structures. It is well known that buckling loads of structures are highly sensitive to random deviations from a nominal design, which ...