Numerical sensitivity analysis for aerodynamic optimization: A survey of approaches JEV Peter, RP Dwight Computers & Fluids 39 (3), 373-391, 2010 | 332 | 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 | 225 | 2014 |
Effect of approximations of the discrete adjoint on gradient-based optimization RP Dwight, J Brezillon AIAA journal 44 (12), 3022-3031, 2006 | 217 | 2006 |
Discovery of algebraic Reynolds-stress models using sparse symbolic regression M Schmelzer, RP Dwight, P Cinnella Flow, Turbulence and Combustion 104, 579-603, 2020 | 196 | 2020 |
Robust mesh deformation using the linear elasticity equations RP Dwight Computational Fluid Dynamics 2006: Proceedings of the Fourth International …, 2009 | 167 | 2009 |
Predictive RANS simulations via Bayesian model-scenario averaging WN Edeling, P Cinnella, RP Dwight Journal of Computational Physics 275, 65-91, 2014 | 129 | 2014 |
Efficient uncertainty quantification using gradient-enhanced kriging R Dwight, ZH Han 50th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials …, 2009 | 115 | 2009 |
Efficiency improvements of RANS-based analysis and optimization using implicit and adjoint methods on unstructured grids RP Dwight PQDT-Global, 2006 | 98 | 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 | 91 | 2008 |
Data-driven modelling of the Reynolds stress tensor using random forests with invariance MLA Kaandorp, RP Dwight Computers & Fluids 202, 104497, 2020 | 89 | 2020 |
Time-supersampling of 3D-PIV measurements with vortex-in-cell simulation JFG Schneiders, RP Dwight, F Scarano Experiments in Fluids 55, 1-15, 2014 | 64 | 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 | 61 | 2015 |
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 | 51 | 2016 |
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 | 49 | 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 algorithms for solution of the adjoint compressible Navier-Stokes equations with applications R Dwight, J Brezillon, D Vollmer ODAS 2006, 2006 | 40 | 2006 |
Navier–Stokes simulations in gappy PIV data A Sciacchitano, RP Dwight, F Scarano Experiments in fluids 53, 1421-1435, 2012 | 39 | 2012 |
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 | 39 | 2007 |
Solenoidal filtering of volumetric velocity measurements using Gaussian process regression I Azijli, RP Dwight Experiments in fluids 56 (11), 198, 2015 | 37 | 2015 |
Efficient Computation of Dynamic Stability Data with a Linearized Frequency Domain Solver. M Widhalm, R Dwight, R Thormann, A Hübner | 36 | 2010 |