39 results on '"Arnst M"'
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2. Identification and sampling of Bayesian posteriors of high-dimensional symmetric positive-definite matrices for data-driven updating of computational models
3. A Stochastic Multi-Scale Model for Predicting MEMS Stiction Failure
4. Itô-SDE MCMC method for Bayesian characterization of errors associated with data limitations in stochastic expansion methods for uncertainty quantification
5. Sensitivity analysis of parametric uncertainties and modeling errors in computational-mechanics models by using a generalized probabilistic modeling approach
6. Global Sensitivity Analysis of a Dam Breaching Model: To Which Extent Is Parameter Sensitivity Case‐Dependent?
7. A computational stochastic multiscale methodology for MEMS structures involving adhesive contact
8. A hybrid stochastic model and its Bayesian identification for infectious disease screening in a university campus with application to massive COVID-19 screening at the University of Liège
9. A Stochastic Multi-Scale Model for Predicting MEMS Stiction Failure
10. Inversion of probabilistic structural models using measured transfer functions
11. Probabilistic equivalence and stochastic model reduction in multiscale analysis
12. A non-parametric probabilistic model for ground-borne vibrations in buildings
13. A numerical model for ground-borne vibrations from underground railway traffic based on a periodic finite element–boundary element formulation
14. Freefield vibrations due to dynamic loading on a tunnel embedded in a stratified medium
15. Stochastic Multiscale Model of MEMS Stiction Accounting for High-Order Statistical Moments of Non-Gaussian Contacting Surfaces
16. A study of dry stiction phenomenon in MEMS using a computational stochastic multi-scale methodology
17. Identification of non-parametric probabilistic models from measured transfer functions
18. Impedance matrix of a random medium from parametric numerical experiments
19. Inversion of random field models for heterogeneous media from spectral analysis of mechanical waves
20. Identification of non-parametric probabilistic structural dynamics models from measured transfer functions
21. Identification de modèles probabilistes non paramétriques
22. A Coupled Periodic BE-FE Model for Predicting and Reducing Vibrations Generated from Underground Railway Traffic
23. A non parametrical approach for modeling random structural uncertainties in a dynamic soil-structure interaction problem
24. Comparative study of the dynamic behavior of a shallow cut-and-cover and a deep bored using a coupled periodic FE-BE formulation
25. Numerical modeling of ground borne vibrations from underground traffic
26. Reduced chaos expansions with random coefficientsin reduced‐dimensional stochastic modeling of coupled problems
27. Hybrid Sampling/Spectral Method for Solving Stochastic Coupled Problems
28. Measure transformation and efficient quadrature in reduced‐dimensional stochastic modeling of coupled problems
29. Dimension reduction in stochastic modeling of coupled problems
30. A variational‐inequality approach to stochastic boundary value problems with inequality constraints and its application to contact and elastoplasticity
31. Maximum entropy approach to the identification of stochastic reduced-order models of nonlinear dynamical systems
32. Identification of Bayesian posteriors for coefficients of chaos expansions
33. Probabilistic Electromechanical Modeling of Nanostructures with Random Geometry
34. 3D periodic BE–FE model for various transportation structures interacting with soil
35. A non-parametric probabilistic model for ground-borne structural vibration due to excitations in a tunnel
36. Reduced chaos expansions with random coefficientsin reduced-dimensional stochastic modeling of coupled problems.
37. A variational-inequality approach to stochastic boundary value problems with inequality constraints and its application to contact and elastoplasticity.
38. Prediction of macroscopic mechanical properties of a polycrystalline microbeam subjected to material uncertainties
39. Decision-based interactive model to determine re-opening conditions of a large university campus in Belgium during the first COVID-19 wave.
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