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Faes, Matthias
97  Ergebnisse:
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1

Mechanistic machine learning for metamaterial fatigue stren..:

Awd, Mustafa ; Saeed, Lobna ; Münstermann, Sebastian..
Materials & Design.  241 (2024)  - p. 112889 , 2024
Link: https://doi.org/10.1016/..
 
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2

Application of interval field method to the stability analy..:

Feng, Chengxin ; Faes, Matthias ; Broggi, Matteo...
Computers and Geotechnics.  153 (2023)  - p. 105060 , 2023
Link: https://doi.org/10.1016/..
 
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3

Data-driven and active learning of variance-based sensitivi..:

Song, Jingwen ; Wei, Pengfei ; Valdebenito, Marcos A...
Mechanical Systems and Signal Processing.  163 (2022)  - p. 108106 , 2022
Link: https://doi.org/10.1016/..
 
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4

An efficient importance sampling approach for reliability a..:

Yuan, Xiukai ; Liu, Shaolong ; Faes, Matthias..
Mechanical Systems and Signal Processing.  159 (2021)  - p. 107699 , 2021
Link: https://doi.org/10.1016/..
 
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5

Influence of thermo-mechanical loads on the lifetime of pla..:

Bogaerts, Lars ; Faes, Matthias ; Bergen, Jolien...
Procedia CIRP.  96 (2021)  - p. 109-114 , 2021
Link: https://doi.org/10.1016/..
 
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6

Local Interval Fields for Spatial Inhomogeneous Uncertainty..:

, In: Lecture Notes in Mechanical Engineering; Proceedings of the 5th International Symposium on Uncertainty Quantification and Stochastic Modelling,
Callens, Robin ; Faes, Matthias ; Moens, David - p. 121-135 , 2020
Link: https://doi.org/10.1007/..
 
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7

Transient landing dynamics analysis for a lunar lander with..:

Chen, Zhao-Yue ; Imholz, Maurice ; Li, Liu..
Applied Mathematical Modelling.  88 (2020)  - p. 827-851 , 2020
Link: https://doi.org/10.1016/..
 
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8

Robust uncertainty quantification in structural dynamics un..:

Imholz, Maurice ; Faes, Matthias ; Vandepitte, Dirk.
Journal of Sound and Vibration.  467 (2020)  - p. 114983 , 2020
Link: https://doi.org/10.1016/..
 
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9

On auto‐ and cross‐interdependence in interval field finite..:

Faes, Matthias ; Moens, David
International Journal for Numerical Methods in Engineering.  121 (2020)  9 - p. 2033-2050 , 2020
Link: https://doi.org/10.1002/..
 
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10

Assessing Model Form Uncertainty in Fracture Models Using D..:

, In: Model Validation and Uncertainty Quantification, Volume 3; Conference Proceedings of the Society for Experimental Mechanics Series,
Callens, Robin ; Faes, Matthias ; Moens, David - p. 119-129 , 2020
Link: https://doi.org/10.1007/..
 
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11

A fast inverse approach for the quantification of set-theor..:

, In: 2019 IEEE Symposium Series on Computational Intelligence (SSCI),
Bogaerts, Lars ; Faes, Matthias ; Moens, David - p. 768-775 , 2019
Link: https://doi.org/10.1109/..
 
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12

Hybrid spatial uncertainty analysis for the estimation of i..:

Faes, Matthias ; Sabyasachi, Ghosh Dastidar ; Moens, David
Computers & Mathematics with Applications.  78 (2019)  7 - p. 2395-2406 , 2019
Link: https://doi.org/10.1016/..
 
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13

A multivariate interval approach for inverse uncertainty qu..:

Faes, Matthias ; Broggi, Matteo ; Patelli, Edoardo...
Mechanical Systems and Signal Processing.  118 (2019)  - p. 534-548 , 2019
Link: https://doi.org/10.1016/..
 
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14

Imprecise random field analysis with parametrized kernel fu..:

Faes, Matthias ; Moens, David
Mechanical Systems and Signal Processing.  134 (2019)  - p. 106334 , 2019
Link: https://doi.org/10.1016/..
 
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15

Robust efficient global optimisation via adaptive surrogate..:

Le Carrer, Noémie ; Moens, David ; Faes, Matthias
PAMM.  19 (2019)  1 - p. , 2019
Link: https://doi.org/10.1002/..
 
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