Richard Dwight

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Paola CinnellaInstitut Jean Le Rond D'AlembertVerified email at sorbonne-universite.fr
Jouke de BaarRoyal Netherlands Meteorological Institute (KNMI)Verified email at knmi.nl
Fulvio ScaranoProfessor of Aerodynamics, TU Delft - Aerospace EngineeringVerified email at tudelft.nl
Dr. Jan SchneidersAerospace Engineering Department, TU DelftVerified email at tudelft.nl
Zeno BelligoliMachine Learning Scientist, Booking.comVerified email at booking.com
Andrea SciacchitanoAssistant professor at Delft University of TechnologyVerified email at tudelft.nl
Jacques PeterONERAVerified email at onera.fr
Georg EitelbergProfessor of Aeronautical Engineering, TU DelftVerified email at tudelft.nl
Bas van Oudheusdenassociate professor, Delft University of TechnologyVerified email at tudelft.nl
Zhong-Hua HanDepartment of Fluid Mechanics, School of Aeronautics, Northwestern Polytechnical UniveristyVerified email at nwpu.edu.cn
Mustafa PercinMiddle East Technical UniversityVerified email at metu.edu.tr
Jens NitzscheInstitute of Aeroelasticity, German Aerospace Center (DLR)Verified email at dlr.de
Artur PalhaDelft University of TechnologyVerified email at tudelft.nl
Daniele RagniAssociate Professor, FPT Department, Delft University of TechnologyVerified email at tudelft.nl
T.P. ScholczResearcher Data Science & Machine Intelligence, MARIN (Maritime Research Institute Netherlands)Verified email at marin.nl
Rakesh SarmaScientist, Forschungszentrum JülichVerified email at fz-juelich.de
Stephen G RobertsMathematics, Australian National UniversityVerified email at anu.edu.au
Ken BadcockLiverpool, GlasgowVerified email at liverpool.ac.uk
S. MarquesUniversity of SurreyVerified email at surrey.ac.uk
Hamed Haddad KhodaparastProfessor in Aerospace Engineering, Swansea UniversityVerified email at swansea.ac.uk

Richard Dwight

Professor, TU Delft

Verified email at tudelft.nl - Homepage

CFD data-driven modelling turbulence modelling uncertainty quantification adjoint solvers


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Numerical sensitivity analysis for aerodynamic optimization: A survey of approaches JEV Peter, RP Dwight Computers & Fluids 39 (3), 373-391, 2010	352	2010
Bayesian estimates of parameter variability in the k–ε turbulence model WN Edeling, P Cinnella, RP Dwight, H Bijl Journal of Computational Physics 258, 73-94, 2014	249	2014
Discovery of algebraic Reynolds-stress models using sparse symbolic regression M Schmelzer, RP Dwight, P Cinnella Flow, Turbulence and Combustion 104, 579-603, 2020	245	2020
Effect of approximations of the discrete adjoint on gradient-based optimization RP Dwight, J Brezillon AIAA journal 44 (12), 3022-3031, 2006	228	2006
Robust mesh deformation using the linear elasticity equations RP Dwight Computational Fluid Dynamics 2006: Proceedings of the Fourth International …, 2009	176	2009
Predictive RANS simulations via Bayesian model-scenario averaging WN Edeling, P Cinnella, RP Dwight Journal of Computational Physics 275, 65-91, 2014	139	2014
Efficient uncertainty quantification using gradient-enhanced kriging R Dwight, ZH Han 50th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials …, 2009	120	2009
Data-driven modelling of the Reynolds stress tensor using random forests with invariance MLA Kaandorp, RP Dwight Computers & Fluids 202, 104497, 2020	115	2020
Efficiency improvements of RANS-based analysis and optimization using implicit and adjoint methods on unstructured grids RP Dwight PQDT-Global, 2006	100	2006
Heuristic a posteriori estimation of error due to dissipation in finite volume schemes and application to mesh adaptation RP Dwight Journal of Computational Physics 227 (5), 2845-2863, 2008	92	2008
Time-supersampling of 3D-PIV measurements with vortex-in-cell simulation JFG Schneiders, RP Dwight, F Scarano Experiments in Fluids 55, 1-15, 2014	74	2014
Uncertainty quantification for a sailing yacht hull, using multi-fidelity kriging J de Baar, S Roberts, R Dwight, B Mallol Computers & Fluids 123, 185-201, 2015	70	2015
Pressure estimation from single-snapshot tomographic PIV in a turbulent boundary layer JFG Schneiders, S Pröbsting, RP Dwight, BW van Oudheusden, ... Experiments in Fluids 57, 1-14, 2016	55	2016
A posteriori uncertainty quantification of PIV-based pressure data I Azijli, A Sciacchitano, D Ragni, A Palha, RP Dwight Experiments in Fluids 57, 1-15, 2016	54	2016
Efficient and robust algorithms for solution of the adjoint compressible Navier–Stokes equations with applications RP Dwight, J Brezillon International journal for numerical methods in fluids 60 (4), 365-389, 2009	43	2009
Efficient Computation of Dynamic Stability Data with a Linearized Frequency Domain Solver. M Widhalm, R Dwight, R Thormann, A Hübner	42	2010
Efficient algorithms for solution of the adjoint compressible Navier-Stokes equations with applications R Dwight, J Brezillon, D Vollmer ODAS 2006, 2006	42	2006
Flow simulation and shape optimization for aircraft design N Kroll, NR Gauger, J Brezillon, R Dwight, A Fazzolari, D Vollmer, ... Journal of Computational and applied mathematics 203 (2), 397-411, 2007	41	2007
Solenoidal filtering of volumetric velocity measurements using Gaussian process regression I Azijli, RP Dwight Experiments in fluids 56 (11), 198, 2015	39	2015
Goal‐oriented mesh adaptation for finite volume methods using a dissipation‐based error indicator RP Dwight International journal for numerical methods in fluids 56 (8), 1193-1200, 2008	39	2008

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