Следене
Matthias G.R. Faes
Matthias G.R. Faes
Други именаMatthias Faes, M. Faes
Full Professor at TU Dortmund - Chair for Reliability Engineering
Потвърден имейл адрес: tu-dortmund.de - Начална страница
Заглавие
Позовавания
Позовавания
Година
Recent trends in the modeling and quantification of non-probabilistic uncertainty
M Faes, D Moens
Archives of Computational Methods in Engineering 27, 633-671, 2020
2102020
Influence of inter-layer cooling time on the quasi-static properties of ABS components produced via fused deposition modelling
M Faes, E Ferraris, D Moens
Procedia Cirp 42, 748-753, 2016
1562016
Extrusion-based 3D printing of ceramic components
M Faes, H Valkenaers, F Vogeler, J Vleugels, E Ferraris
Procedia Cirp 28, 76-81, 2015
1562015
Engineering analysis with probability boxes: A review on computational methods
MGR Faes, M Daub, S Marelli, E Patelli, M Beer
Structural Safety 93, 102092, 2021
1182021
Extrusion-based additive manufacturing of ZrO2 using photoinitiated polymerization
M Faes, J Vleugels, F Vogeler, E Ferraris
CIRP Journal of Manufacturing Science and Technology 14, 28-34, 2016
1182016
Process monitoring of extrusion based 3D printing via laser scanning
M Faes, W Abbeloos, F Vogeler, H Valkenaers, K Coppens, T Goedemé, ...
arXiv preprint arXiv:1612.02219, 2016
962016
On the influence of inter-layer time and energy density on selected critical-to-quality properties of PA12 parts produced via laser sintering
M Pavan, M Faes, D Strobbe, B Van Hooreweder, T Craeghs, D Moens, ...
Polymer testing 61, 386-395, 2017
842017
A multivariate interval approach for inverse uncertainty quantification with limited experimental data
M Faes, M Broggi, E Patelli, Y Govers, J Mottershead, M Beer, D Moens
Mechanical Systems and Signal Processing 118, 534-548, 2019
832019
Identification and quantification of multivariate interval uncertainty in finite element models
M Faes, J Cerneels, D Vandepitte, D Moens
Computer Methods in applied mechanics and engineering 315, 896-920, 2017
602017
Identification and quantification of spatial interval uncertainty in numerical models
M Faes, D Moens
Computers & Structures 192, 16-33, 2017
552017
Bounding the first excursion probability of linear structures subjected to imprecise stochastic loading
MGR Faes, MA Valdebenito, D Moens, M Beer
Computers & Structures 239, 106320, 2020
542020
Parallel adaptive Bayesian quadrature for rare event estimation
C Dang, P Wei, MGR Faes, MA Valdebenito, M Beer
Reliability Engineering & System Safety 225, 108621, 2022
472022
Operator norm theory as an efficient tool to propagate hybrid uncertainties and calculate imprecise probabilities
MGR Faes, MA Valdebenito, D Moens, M Beer
Mechanical Systems and Signal Processing 152, 107482, 2021
452021
Multivariate dependent interval finite element analysis via convex hull pair constructions and the extended transformation method
M Faes, D Moens
Computer Methods in Applied Mechanics and Engineering 347, 85-102, 2019
452019
Fully decoupled reliability-based design optimization of structural systems subject to uncertain loads
MGR Faes, MA Valdebenito
Computer Methods in Applied Mechanics and Engineering 371, 113313, 2020
442020
Structural reliability analysis: A Bayesian perspective
C Dang, MA Valdebenito, MGR Faes, P Wei, M Beer
Structural Safety 99, 102259, 2022
402022
Imprecise random field analysis with parametrized kernel functions
M Faes, D Moens
Mechanical Systems and Signal Processing 134, 106334, 2019
402019
An efficient importance sampling approach for reliability analysis of time-variant structures subject to time-dependent stochastic load
X Yuan, S Liu, M Faes, MA Valdebenito, M Beer
Mechanical Systems and Signal Processing 159, 107699, 2021
372021
Elucidating appealing features of differentiable auto-correlation functions: A study on the modified exponential kernel
MGR Faes, M Broggi, PD Spanos, M Beer
Probabilistic Engineering Mechanics 69, 103269, 2022
332022
On auto‐and cross‐interdependence in interval field finite element analysis
M Faes, D Moens
International Journal for Numerical Methods in Engineering 121 (9), 2033-2050, 2020
312020
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