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Non-linearly stable reduced-order models for incompressible flow with energy-conserving finite volume methods

ArticleJournal paper
Sanderse, B.
Journal of Computational Physics, Volume 421, 15 November 2020
Publication year: 2020

Global sensitivity analysis of model uncertainty in aeroelastic wind turbine models

ArticleConference proceedings
Kumar, P and Sanderse, B and Boorsma, K and Caboni, M
J. Phys.: Conf. Ser., 1618 04203, 2020
Publication year: 2020

Generating nested quadrature rules with positive weights based on arbitrary sample sets

ArticlePreprint
van den Bos, L. M. M. and Sanderse, B. and Bierbooms, W. A. A. M. and van Bussel, G. J. W.
SIAM/ASA Journal on Uncertainty Quantification, Vol. 8, No. 1, pp. 139-169
Publication year: 2020

Assessment of sensitivity and accuracy of BEM-based aeroelastic models on wind turbine load predictions

ArticleConference proceedings
Caboni, M and Carrion, M and Rodriguez, C and Schepers, G and Boorsma, K
J. Phys.: Conf. Ser, 1618 04201, 2020
Publication year: 2020

PDE/PDF-informed adaptive sampling for efficient non-intrusive surrogate modelling

ArticlePreprint
van Halder, Yous and Sanderse, Benjamin and Koren, Barry
ArXiv e-print arXiv:1907.04022
Publication year: 2019

Machine learning for closure models in multiphase flow applications

ArticleConference proceedings
Buist, Jurriaan and Sanderse, Benjamin and van Halder, Yous
In UNCECOMP 2019, 3rd ECCOMAS Thematic Conference on Uncertainty Quantification in Computational Sciences and Engineering, M. Papadrakakis, V. Papadopoulos, G. Stefanou (eds.) Crete, Greece, 24-26 June 2019, 2019
Publication year: 2019

Fatigue design load calculations of the offshore NREL 5MW benchmark turbine using quadrature rule techniques

ArticlePreprint
van den Bos, L. M. M. and Bierbooms, W. A. A. M. and Alexandre, A. and Sanderse, B. and van Bussel, G. J. W.
Wind Energy, 2020
Publication year: 2019

Bayesian model calibration with interpolating polynomials based on adaptively weighted Leja nodes

ArticleJournal paper
van den Bos, L. M. M. and Sanderse, B. and Bierbooms, W. A. A. M. and van Bussel, G. J. W.
Communications in Computational Physics, Volume 27:1, p. 33-69, 2019
Publication year: 2019

An adaptive minimum spanning tree multi-element method for uncertainty quantification of smooth and discontinuous responses

ArticleJournal paper
van Halder, Yous and Sanderse, Benjamin and Koren, Barry
SIAM Journal on Scientific Computing 41(6), A3624–A3648
Publication year: 2019

Adaptive sampling-based quadrature rules for efficient Bayesian prediction

ArticlePreprint
van den Bos, L. M. M. and Sanderse, B. and Bierbooms, W. A. A. M.
ArXiv e-print arXiv:1907.08418
Publication year: 2019

A geometric approach for the addition of nodes to an interpolatory quadrature rule with positive weights

ArticlePreprint
van den Bos, L. M. M. and Sanderse, B.
ArXiv e-print arXiv:1902.07477
Publication year: 2019

Numerical simulation of roll waves in pipelines using the two-fluid model

ArticleConference proceedings
Sanderse, B and Misra, S and Dubinkina, S and Henkes, R A W M and Oosterlee, C W
11th North American Conference on Multiphase Production Technology, 6-8 June, Banff, Canada
Publication year: 2018

Efficient ultimate load estimation for offshore wind turbines using interpolating surrogate models

ArticleConference proceedings
Van Den Bos, L. M.M. and Sanderse, B. and Blonk, L. and Bierbooms, W. A.A.M. and Van Bussel, G. J.W.
Journal of Physics: Conference Series, 1037(6), 2018
Publication year: 2018

Constraint-consistent Runge-Kutta methods for one-dimensional incompressible multiphase flow

ArticleJournal paper
Sanderse, Benjamin and Veldman, Arthur E P
Journal of Computational Physics 384: 17-199, 2019
Publication year: 2018

Uncertainty quantification for wind energy applications

Techreport
van den Bos, Laurent and Sanderse, Benjamin
Technical Report SC-1701, Centrum Wiskunde & Informatica, 2017
Publication year: 2017

Efficient simulation of one-dimensional two-phase flow with a high-order h -adaptive space-time Discontinuous Galerkin method

ArticleJournal paper
van Zwieten, J.S.B. and Sanderse, B. and Hendrix, M.H.W. and Vuik, C. and Henkes, R.A.W.M.
Computers & Fluids 156: 34-47, 2017
Publication year: 2017

Analysis of time integration methods for the compressible two-fluid model for pipe flow simulations

ArticleJournal paper
Sanderse, B. and Smith, I.E. and Hendrix, M.H.W.
International Journal of Multiphase Flow, 95: 155—174, 2017
Publication year: 2017

A minimum-dissipation time-integration strategy for large-eddy simulation of incompressible turbulent flows

ArticleConference proceedings
Capuano, Francesco and Sanderse, Benjamin and Angelis, Enrico M De
In AIMETA 2017 XXIII Conference, The Italian Association of Theoretical and Applied Mechanics, Luigi Ascione, Valentino Berardi, Luciano Feo, Fernando Fraternali and Antonio Michele Tralli (eds.) Salerno, Italy, 4–7 September 2017, 2017
Publication year: 2017

Comparison of numerical methods for slug capturing with the two-fluid model

ArticleConference proceedings
Hendrix, Maurice H W and Smith, Ivar E and van Zwieten, Joost S B and Sanderse, Benjamin
In ICMF-2016 - 9th International Conference on Multiphase Flow May 22nd - 27th 2016, Firenze, Italy, 2016
Publication year: 2016

Simulation of Elongated Bubbles in a Channel Using the Two-Fluid Model

ArticleJournal paper
Sanderse, B. and Haspels, M. and Henkes, R.A.W.M.
Journal of Dispersion Science and Technology, 36(10): 1407—1418, 2015
Publication year: 2015

Boundary treatment for fourth-order staggered mesh discretizations of the incompressible Navier-Stokes equations

ArticleJournal paper
Sanderse, B. and Verstappen, R.W.C.P. and Koren, B.
Journal of Computational Physics, 257: 1472—1505, 2014
Publication year: 2014

Runge-Kutta methods for the incompressible Navier-Stokes equations

ArticleConference proceedings
Sanderse, B. and Koren, B.
In 21st AIAA Computational Fluid Dynamics Conference, 2013
Publication year: 2013

Energy-conserving Runge-Kutta methods for the incompressible Navier-Stokes equations

ArticleJournal paper
Sanderse, B.
Journal of Computational Physics, 233(1): 100—131, 2013
Publication year: 2013

Energy-conserving discretization methods for the incompressible Navier-Stokes equations

PhdThesis
Sanderse, B
PhD Thesis, Eindhoven University of Technology, 2013
Publication year: 2013

Wind energy research - Development of advanced design tools

Article
Eecen, P.J. and Bijleveld, H.A. and Sanderse, B.
Europhysics News, 43(2), 2012
Publication year: 2012

New explicit Runge-Kutta methods for the incompressible Navier-Stokes equations

ArticleConference proceedings
Sanderse, B and Koren, B
In Seventh International Conference on Computational Fluid Dynamics (ICCFD7), Big Island, Hawaii, July 9-13, 2012, 2012
Publication year: 2012

Linearly Implicit Energy-Conserving Runge-Kutta Methods for the Incompressible Navier-Stokes Equations

ArticleConference proceedings
Sanderse, B and Koren, B
In 6th European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS 2012; Vienna; Austria, 2012
Publication year: 2012

Accuracy analysis of explicit Runge Kutta methods applied to the incompressible Navier-Stokes equations

ArticleJournal paper
Sanderse, Benjamin and Koren, B.
Journal of Computational Physics, 231(8): 3041—3063, 2012
Publication year: 2012

Review of computational fluid dynamics for wind turbine wake aerodynamics

ArticleJournal paper
Sanderse, B and Pijl, S.P. and Koren, B.
Wind Energy, 14(7): 799—819, 2011
Publication year: 2011

ECNS: Energy-Conserving Navier-Stokes Solver - Verification of steady laminar flows. ECN-E11042

Techreport
Sanderse, B
Technical Report ECN-E11042, Energy research Centre of the Netherlands, 2011
Publication year: 2011