| Multipoint high-fidelity aerostructural optimization of a transport aircraft configuration GKW Kenway, JRRA Martins Journal of Aircraft 51 (1), 144-160, 2014 | 411 | 2014 |
| Aerodynamic shape optimization investigations of the common research model wing benchmark Z Lyu, GKW Kenway, JRRA Martins AIAA journal 53 (4), 968-985, 2015 | 328 | 2015 |
| Scalable parallel approach for high-fidelity steady-state aeroelastic analysis and adjoint derivative computations GKW Kenway, GJ Kennedy, JRRA Martins AIAA journal 52 (5), 935-951, 2014 | 296 | 2014 |
| Effective adjoint approaches for computational fluid dynamics GKW Kenway, CA Mader, P He, JRRA Martins Progress in Aerospace Sciences 110, 100542, 2019 | 245 | 2019 |
| A CAD-free approach to high-fidelity aerostructural optimization G Kenway, G Kennedy, JRRA Martins 13th AIAA/ISSMO multidisciplinary analysis optimization conference, 9231, 2010 | 245 | 2010 |
| Multimission aircraft fuel-burn minimization via multipoint aerostructural optimization RP Liem, GKW Kenway, JRRA Martins AIAA Journal 53 (1), 104-122, 2015 | 161 | 2015 |
| pyOptSparse: A Python framework for large-scale constrained nonlinear optimization of sparse systems E Wu, G Kenway, CA Mader, J Jasa, JR ra Martins Journal of Open Source Software 5 (54), 2564, 2020 | 158 | 2020 |
| ADflow: An open-source computational fluid dynamics solver for aerodynamic and multidisciplinary optimization CA Mader, GKW Kenway, A Yildirim, JRRA Martins Journal of Aerospace Information Systems 17 (9), 508-527, 2020 | 150 | 2020 |
| Benchmark aerostructural models for the study of transonic aircraft wings TR Brooks, GKW Kenway, JRRA Martins AIAA Journal 56 (7), 2840-2855, 2018 | 147 | 2018 |
| Aerostructural optimization of the Common Research Model configuration G Kenway, G Kennedy, JRRA Martins 15th AIAA/ISSMO multidisciplinary analysis and optimization conference, 3274, 2014 | 145 | 2014 |
| Automatic differentiation adjoint of the Reynolds-averaged Navier-Stokes equations with a turbulence model Z Lyu, GK Kenway, C Paige, JRRA Martins 21st AIAA Computational Fluid Dynamics Conference, 2581, 2013 | 139 | 2013 |
| A Jacobian-free approximate Newton–Krylov startup strategy for RANS simulations A Yildirim, GKW Kenway, CA Mader, JRRA Martins Journal of Computational Physics 397, 108741, 2019 | 132 | 2019 |
| Multipoint aerodynamic shape optimization investigations of the common research model wing GKW Kenway, JRRA Martins AIAA Journal 54 (1), 113-128, 2016 | 129 | 2016 |
| Aerodynamic shape optimization of common research model wing–body–tail configuration S Chen, Z Lyu, GKW Kenway, JRRA Martins Journal of Aircraft 53 (1), 276-293, 2016 | 116 | 2016 |
| Efficient mesh generation and deformation for aerodynamic shape optimization NR Secco, GKW Kenway, P He, C Mader, JRRA Martins AIAA Journal 59 (4), 1151-1168, 2021 | 115 | 2021 |
| Aerostructural shape optimization of wind turbine blades considering site-specific winds G Kenway, JRRA Martins 12th AIAA/ISSMO multidisciplinary analysis and optimization conference, 6025, 2008 | 102 | 2008 |
| Buffet-onset constraint formulation for aerodynamic shape optimization GKW Kenway, JRRA Martins AIAA Journal 55 (6), 1930-1947, 2017 | 92 | 2017 |
| Modeling boundary layer ingestion using a coupled aeropropulsive analysis JS Gray, CA Mader, GKW Kenway, JRRA Martins Journal of Aircraft 55 (3), 1191-1199, 2018 | 87 | 2018 |
| Expected drag minimization for aerodynamic design optimization based on aircraft operational data RP Liem, JRRA Martins, GKW Kenway Aerospace Science and Technology 63, 344-362, 2017 | 63 | 2017 |
| High-fidelity multipoint hydrostructural optimization of a 3-D hydrofoil N Garg, GKW Kenway, JRRA Martins, YL Young Journal of Fluids and Structures 71, 15-39, 2017 | 62 | 2017 |
Joaquim R. R. A. MartinsProfessor of Aerospace Engineering, University of Michigan在 umich.edu 的电子邮件经过验证
