Benjamin Sanderse
Title
Cited by
Cited by
Year
Review of computational fluid dynamics for wind turbine wake aerodynamics
B Sanderse, SP Pijl, B Koren
Wind Energy 14 (7), 799-819, 2011
5402011
Aerodynamics of wind turbine wakes
B Sanderse
Energy research Centre of the Netherlands, ECN-E-09-016, 2009
312*2009
Accuracy analysis of explicit Runge–Kutta methods applied to the incompressible Navier–Stokes equations
B Sanderse, B Koren
Journal of Computational Physics 231 (8), 3041-3063, 2012
862012
Energy-conserving Runge-Kutta methods for the incompressible Navier-Stokes equations
B Sanderse
Journal of Computational Physics 233, 100-131, 2013
672013
Boundary treatment for fourth-order staggered mesh discretizations of the incompressible Navier–Stokes equations
B Sanderse, R Verstappen, B Koren
Journal of Computational Physics 257, 1472-1505, 2014
112014
Energy-Conserving Navier-Stokes Solver. Verification of steady laminar flows
B Sanderse
Energy research Centre of the Netherlands, ECN-E-11-042, 2011
92011
Bayesian model calibration with interpolating polynomials based on adaptively weighted Leja nodes
LMM van den Bos, B Sanderse, W Bierbooms, GJW van Bussel
arXiv preprint arXiv:1802.02035, 2018
82018
Analysis of time integration methods for the compressible two-fluid model for pipe flow simulations
B Sanderse, IE Smith, MHW Hendrix
International Journal of Multiphase Flow 95, 155-174, 2017
82017
Simulation of Elongated Bubbles in a Channel Using the Two-Fluid Model
B Sanderse, M Haspels, R Henkes
Journal of Dispersion Science and Technology 36 (10), 1407-1418, 2015
62015
Numerical simulation of roll waves in pipelines using the two-fluid model
B Sanderse, S Misra, S Dubinkina, R Henkes, CW Oosterlee
11th North American Conference on Multiphase Production Technology, 2018
52018
Energy-conserving discretization methods for the incompressible Navier-Stokes equations: application to the simulation of wind-turbine wakes
B Sanderse
Technische Universiteit Eindhoven, 2013
52013
Generating nested quadrature rules with positive weights based on arbitrary sample sets
L van den Bos, B Sanderse, W Bierbooms, G van Bussel
SIAM/ASA Journal on Uncertainty Quantification 8 (1), 139-169, 2020
42020
An Adaptive Minimum Spanning Tree Multielement Method for Uncertainty Quantification of Smooth and Discontinuous Responses
YV Halder, B Sanderse, B Koren
SIAM Journal on Scientific Computing 41 (6), A3624-A3648, 2019
42019
Constraint-consistent Runge–Kutta methods for one-dimensional incompressible multiphase flow
B Sanderse, AEP Veldman
Journal of Computational Physics 384, 170-199, 2019
42019
Digital Twins Introduction
E Weippl, B Sanderse
ERCIM NEWS, 6-7, 2018
42018
Non-linearly stable reduced-order models for incompressible flow with energy-conserving finite volume methods
B Sanderse
Journal of Computational Physics 421, 109736, 2020
32020
Adaptive sampling-based quadrature rules for efficient Bayesian prediction
LMM van den Bos, B Sanderse, W Bierbooms
Journal of Computational Physics 417, 109537, 2020
32020
Efficient simulation of one-dimensional two-phase flow with a new high-order Discontinuous Galerkin method
JSB Van Zwieten, B Sanderse, MHV Hendrix, C Vuik, R Henkes
Reports of the Delft Institute of Applied Mathematics, 15-07, 2015
32015
Cartesian grid methods for preliminary aircraft design
B Sanderse
TU Delft, Delft, Netherlands, 2008
32008
Machine Learning for Closure Models in Multiphase Flow Applications
J Buist, B Sanderse, Y van Halder, B Koren, G van Heijst
3rd International Conference on Uncertainty Quantification in Computationalá…, 2019
22019
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