Jeroen A.S. Witteveen
Jeroen A.S. Witteveen
Scientific Staff Member, Center for Mathematics and Computer Science (CWI), Amsterdam
Verified email at - Homepage
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Probabilistic collocation: an efficient non-intrusive approach for arbitrarily distributed parametric uncertainties
GJA Loeven, JAS Witteveen, H Bijl
45th AIAA Aerospace Sciences Meeting and Exhibit, 317, 2007
Modeling physical uncertainties in dynamic stall induced fluid–structure interaction of turbine blades using arbitrary polynomial chaos
JAS Witteveen, S Sarkar, H Bijl
Computers & structures 85 (11-14), 866-878, 2007
Modeling arbitrary uncertainties using Gram-Schmidt polynomial chaos
JAS Witteveen, H Bijl
44th AIAA aerospace sciences meeting and exhibit, 896, 2006
Explicit mesh deformation using inverse distance weighting interpolation
J Witteveen, H Bijl
19th AIAA Computational Fluid Dynamics, 3996, 2009
Simplex stochastic collocation with random sampling and extrapolation for nonhypercube probability spaces
JAS Witteveen, G Iaccarino
SIAM Journal on Scientific Computing 34 (2), A814-A838, 2012
Explicit and Robust Inverse Distance Weighting Mesh Deformation for CFD
JAS Witteveen
48th AIAA Aerospace Sciences Meeting, 2010
An adaptive stochastic finite elements approach based on Newton–Cotes quadrature in simplex elements
JAS Witteveen, A Loeven, H Bijl
Computers & Fluids 38 (6), 1270-1288, 2009
Probabilistic collocation for period-1 limit cycle oscillations
JAS Witteveen, A Loeven, S Sarkar, H Bijl
Journal of sound and vibration 311 (1-2), 421-439, 2008
Wind Turbine Performance Analysis Under Uncertainty
G Petrone, C de Nicola, D Quagliarella, J Witteveen, G Iaccarino
49th AIAA Aerospace Sciences Meeting, 2011
Polynomial chaos expansion for general multivariate distributions with correlated variables
M Navarro, J Witteveen, J Blom
arXiv preprint arXiv:1406.5483, 2014
The stochastic collocation Monte Carlo sampler: highly efficient sampling from ‘expensive’distributions
LA Grzelak, JAS Witteveen, M Suarez-Taboada, CW Oosterlee
Quantitative Finance 19 (2), 339-356, 2019
Simplex stochastic collocation with ENO-type stencil selection for robust uncertainty quantification
JAS Witteveen, G Iaccarino
Journal of Computational Physics 239, 1-21, 2013
Stochastic analysis of the impact of freestream conditions on the aerodynamics of a rectangular 5: 1 cylinder
A Mariotti, MV Salvetti, PS Omrani, JAS Witteveen
Computers & Fluids 136, 170-192, 2016
Wind Turbine Optimization Under Uncertainty with High Performance Computing
G Petrone, C de Nicola, D Quagliarella, J Witteveen, J Axerio-Cilies, ...
41st AIAA Fluid Dynamics Conference, 2011
Uncertainty quantification for laminar-turbulent transition prediction in RANS turbomachinery applications
R Pecnik, JAS Witteveen, G Iaccarino
49th AIAA Aerospace Sciences Meeting, 2011
Refinement criteria for simplex stochastic collocation with local extremum diminishing robustness
JAS Witteveen, G Iaccarino
SIAM Journal on Scientific Computing 34 (3), A1522-A1543, 2012
Effect of randomness on multi-frequency aeroelastic responses resolved by unsteady adaptive stochastic finite elements
JAS Witteveen, H Bijl
Journal of Computational Physics 228 (18), 7025-7045, 2009
Efficient quantification of the effect of uncertainties in advection-diffusion problems using polynomial chaos
JAS Witteveen, H Bijl
Numerical Heat Transfer, Part B: Fundamentals 53 (5), 437-465, 2008
A TVD uncertainty quantification method with bounded error applied to transonic airfoil flutter
JAS Witteveen, H Bijl
Communications in Computational Physics 6 (2), 406, 2009
Effect of uncertainty on the bifurcation behavior of pitching airfoil stall flutter
S Sarkar, JAS Witteveen, A Loeven, H Bijl
Journal of Fluids and Structures 25 (2), 304-320, 2009
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