| 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 | 179 | 2020 |
| Extrusion-based 3D printing of ceramic components M Faes, H Valkenaers, F Vogeler, J Vleugels, E Ferraris Procedia Cirp 28, 76-81, 2015 | 150 | 2015 |
| 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 | 148 | 2016 |
| 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 | 111 | 2016 |
| 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 | 96 | 2021 |
| 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 | 84 | 2016 |
| 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 | 78 | 2019 |
| 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 | 75 | 2017 |
| 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 | 57 | 2017 |
| Identification and quantification of spatial interval uncertainty in numerical models M Faes, D Moens Computers & Structures 192, 16-33, 2017 | 52 | 2017 |
| 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 | 50 | 2020 |
| 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 | 43 | 2019 |
| 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 | 39 | 2020 |
| 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 | 37 | 2021 |
| Imprecise random field analysis with parametrized kernel functions M Faes, D Moens Mechanical Systems and Signal Processing 134, 106334, 2019 | 37 | 2019 |
| 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 | 36 | 2022 |
| 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 | 30 | 2020 |
| 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 | 29 | 2021 |
| Structural reliability analysis: A Bayesian perspective C Dang, MA Valdebenito, MGR Faes, P Wei, M Beer Structural Safety 99, 102259, 2022 | 27 | 2022 |
| 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 | 27 | 2022 |
David MoensProfessor - KU Leuven, dept. Mechanical Engineering在 kuleuven.be 的电子邮件经过验证
