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Matthias G.R. Faes
Matthias G.R. Faes
Other namesMatthias Faes, M. Faes
Full Professor at TU Dortmund - Chair for Reliability Engineering
Verified email at tu-dortmund.de - Homepage
Title
Cited by
Cited by
Year
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
1662020
Extrusion-based 3D printing of ceramic components
M Faes, H Valkenaers, F Vogeler, J Vleugels, E Ferraris
Procedia Cirp 28, 76-81, 2015
1512015
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
1492016
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
1102016
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
852021
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
812016
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
722019
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
722017
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
562017
Identification and quantification of spatial interval uncertainty in numerical models
M Faes, D Moens
Computers & Structures 192, 16-33, 2017
512017
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
492020
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
422019
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
362021
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
352020
Imprecise random field analysis with parametrized kernel functions
M Faes, D Moens
Mechanical Systems and Signal Processing 134, 106334, 2019
352019
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
322022
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
282020
Comparison of Bayesian and interval uncertainty quantification: Application to the AIRMOD test structure
M Broggi, M Faes, E Patelli, Y Govers, D Moens, M Beer
2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2017
262017
Variability, heterogeneity, and anisotropy in the quasi-static response of laser sintered PA12 components
M Faes, Y Wang, P Lava, D Moens
Strain, 2016
262016
Robust uncertainty quantification in structural dynamics under scarse experimental modal data: A Bayesian-interval approach
M Imholz, M Faes, D Vandepitte, D Moens
Journal of Sound and Vibration 467, 114983, 2020
252020
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