Maarten Arnst
Maarten Arnst
Associate Professor of Aerospace and Mechanical Engineering, University of Liege
Verified email at uliege.be
Title
Cited by
Cited by
Year
A numerical model for ground-borne vibrations from underground railway traffic based on a periodic finite element–boundary element formulation
G Degrande, D Clouteau, R Othman, M Arnst, H Chebli, R Klein, ...
Journal of Sound and Vibration 293 (3), 645-666, 2006
2292006
Freefield vibrations due to dynamic loading on a tunnel embedded in a stratified medium
D Clouteau, M Arnst, TM Al-Hussaini, G Degrande
Journal of Sound and Vibration 283 (1-2), 173-199, 2005
2082005
Identification of Bayesian posteriors for coefficients of chaos expansions
M Arnst, R Ghanem, C Soize
Journal of Computational Physics 229 (9), 3134-3154, 2010
1082010
Probabilistic equivalence and stochastic model reduction in multiscale analysis
M Arnst, R Ghanem
Computer Methods in Applied Mechanics and Engineering 197 (43-44), 3584-3592, 2008
632008
3D periodic BE–FE model for various transportation structures interacting with soil
H Chebli, R Othman, D Clouteau, M Arnst, G Degrande
Computers and Geotechnics 35 (1), 22-32, 2008
552008
A non-parametric probabilistic model for ground-borne vibrations in buildings
M Arnst, D Clouteau, H Chebli, R Othman, G Degrande
Probabilistic Engineering Mechanics 21 (1), 18-34, 2006
512006
Dimension reduction in stochastic modeling of coupled problems
M Arnst, R Ghanem, E Phipps, J Red‐Horse
International Journal for Numerical Methods in Engineering 92 (11), 940-968, 2012
432012
Reduced chaos expansions with random coefficientsin reduced‐dimensional stochastic modeling of coupled problems
M Arnst, R Ghanem, E Phipps, J Red‐Horse
International Journal for Numerical Methods in Engineering 97 (5), 352-376, 2014
362014
Measure transformation and efficient quadrature in reduced‐dimensional stochastic modeling of coupled problems
M Arnst, R Ghanem, E Phipps, J Red‐Horse
International Journal for Numerical Methods in Engineering 92 (12), 1044-1080, 2012
292012
An overview of nonintrusive characterization, propagation, and sensitivity analysis of uncertainties in computational mechanics
M Arnst, JP Ponthot
International Journal for Uncertainty Quantification 4 (5), 2014
272014
Uncertainty quantification of the multi-centennial response of the Antarctic ice sheet to climate change
K Bulthuis, M Arnst, S Sun, F Pattyn
The Cryosphere 13, 1349-1380, 2019
242019
Inversion of probabilistic structural models using measured transfer functions
M Arnst, D Clouteau, M Bonnet
Computer Methods in Applied Mechanics and Engineering 197 (6-8), 589-608, 2008
232008
Probabilistic assessment of the lifetime of low-earth-orbit spacecraft: uncertainty characterization
L Dell’Elce, M Arnst, G Kerschen
Journal of Guidance, Control, and Dynamics 38 (5), 900-912, 2014
222014
Inversion of probabilistic models of structures using measured transfer functions
M Arnst
Ecole Centrale Paris, Chatenay-Malabry, France, 2007
192007
Hybrid sampling/spectral method for solving stochastic coupled problems
M Arnst, C Soize, R Ghanem
SIAM/ASA Journal on Uncertainty Quantification 1 (1), 218-243, 2013
172013
A variational‐inequality approach to stochastic boundary value problems with inequality constraints and its application to contact and elastoplasticity
M Arnst, R Ghanem
International Journal for Numerical Methods in Engineering 89 (13), 1665-1690, 2012
142012
A computational stochastic multiscale methodology for MEMS structures involving adhesive contact
TV Hoang, L Wu, S Paquay, JC Golinval, M Arnst, L Noels
Tribology International 110, 401-425, 2017
92017
Stochastic Multiscale Model of MEMS Stiction Accounting for High-Order Statistical Moments of Non-Gaussian Contacting Surfaces
TV Hoang, L Wu, JC Golinval, M Arnst, L Noels
Journal of Microelectromechanical Systems 27 (2), 137-155, 2018
52018
Itô-SDE MCMC method for Bayesian characterization of errors associated with data limitations in stochastic expansion methods for uncertainty quantification
M Arnst, BA Álvarez, JP Ponthot, R Boman
Journal of Computational Physics 349, 59-79, 2017
52017
Probabilistic electromechanical modeling of nanostructures with random geometry
M Arnst, R Ghanem
Journal of Computational and Theoretical Nanoscience 6 (10), 2256-2272, 2009
42009
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Articles 1–20