2023
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High-fidelity Aerostructural Optimization with a Geometrically Nonlinear Flutter Constraint
A. C. Gray, C. Riso, E. Jonsson, J. R. R. A. Martins, and C. E. S. Cesnik
AIAA Journal, 2023
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Eigenvalue problem derivatives computation for a complex matrix using the adjoint method
S. He, Y. Shi, E. Jonsson, and J. R. R. A. Martins
Mechanical Systems and Signal Processing, 2023
2022
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Efficient Aerostructural Wing Optimization Considering Mission Analysis
E. J. Adler, and J. R. R. A. Martins
Journal of Aircraft, 2022
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Aerodynamic shape optimization of an electric aircraft motor surface heat exchanger with conjugate heat transfer constraint
J. Anibal, C. A. Mader, and J. R. R. A. Martins
International Journal of Heat and Mass Transfer, 189122689, 2022
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Thermal Management System Optimization for a Parallel Hybrid Aircraft Considering Mission Fuel Burn
E. J. Adler, B. J. Brelje, and J. R. R. A. Martins
Aerospace, 9(5), 2022
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Scaling the dynamic response and stability of composite hydrodynamic lifting surfaces
G. W. Ng, A. S. Vishneek, J. R. R. A. Martins, and Y. L. Young
Composite Structures, 115148, 2022
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Linear Stability-Based Smooth Reynolds-Averaged Navier–Stokes Transition Model for Aerodynamic Flows
G. L. O. Halila, A. Yildirim, C. A. Mader, K. J. Fidkowski, and J. R. R. A. Martins
AIAA Journal, 60(2):1077–1090, 2022
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A Gradient-based Sequential Multifidelity Approach to Multidisciplinary Design Optimization
N. Wu, C. A. Mader, and J. R. R. A. Martins
Structural and Multidisciplinary Optimization, 65131–151, 2022
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Boundary Layer Ingestion Benefit for the STARC-ABL Concept
A. Yildirim, J. S. Gray, C. A. Mader, and J. R. R. A. Martins
Journal of Aircraft, 59(4):896–911, 2022
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Aerostructural wing optimization of a regional jet considering mission fuel burn
N. Bons, J. R. R. A. Martins, F. Odaguil, and A. P. C. Cuco
ASME Open Journal of Engineering, 1011046, 2022
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Aerodynamic Design Optimization: Challenges and Perspectives
J. R. R. A. Martins
Computers & Fluids, 239105391, 2022
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Physics-Based Data-Driven Buffet-Onset Constraint for Aerodynamic Shape Optimization
J. Li, S. He, M. Zhang, J. R. R. A. Martins, and B. C. Khoo
AIAA Journal, 60(8):4775–4788, 2022
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Minimum lap time trajectory optimization of performance vehicles with four-wheel drive and active aerodynamic control
P. D. Buck, and J. R. R. A. Martins
Vehicle System Dynamics, 2022
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Derivatives for Eigenvalues and Eigenvectors via Analytic Reverse Algorithmic Differentiation
S. He, E. Jonsson, and J. R. R. A. Martins
AIAA Journal, 60(4):2654–2667, 2022
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Discrete multi-load truss sizing optimization: model analysis and computational experiments
R. Fakhimi, M. Shahabsafa, W. Lei, S. He, J. R. R. A. Martins, T. Terlaky, and L. F. Zuluaga
Optimization and Engineering, 23(4):1559–1585, 2022
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Machine Learning in Aerodynamic Shape Optimization
J. Li, X. Du, and J. R. R. A. Martins
Progress in Aerospace Sciences, 134100849, 2022
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RANS-based Optimization of a T-shaped Hydrofoil Considering Junction Design
Y. Liao, A. Yildirim, J. R. R. A. Martins, and Y. L. Young
Ocean Engineering, 262112051, 2022
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Optimizing steady and dynamic hydroelastic performance of composite foils with low-order models
G. W. Ng, J. R. R. A. Martins, and Y. L. Young
Composite Structures, 301116101, 2022
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Predicting the High-Angle-of-Attack Characteristics of a Delta Wing at Low Speed
S. Seraj, and J. R. R. A. Martins
Journal of Aircraft, 59(4):1071–1081, 2022
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Adjoint-based Limit Cycle Oscillation Instability Sensitivity and Suppression
S. He, E. Jonsson, and J. R. R. A. Martins
Nonlinear Dynamics, 2022
2021
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Computer Algorithms Make For Best Design
J. R. R. A. Martins
Aviation Week & Space Technology, 2021
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Mixed-integer Second-order Cone Optimization for Composite Discrete Ply-angle and Thickness Topology Optimization Problems
S. He, M. Shahabsafa, W. Lei, A. Mohammad–Nezhad, T. Terlaky, L. Zuluaga, and J. R. R. A. Martins
Optimization and Engineering, 221589–1624, 2021
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Adaptive Projected Residual Networks for Learning Parametric Maps from Sparse Data
T. O’Leary-Roseberry, X. Du, A. Chaudhuri, J. R. R. A. Martins, K. Willcox, and O. Ghattas
2021
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Efficient Mesh Generation and Deformation for Aerodynamic Shape Optimization
N. Secco, G. K. W. Kenway, P. He, C. A. Mader, and J. R. R. A. Martins
AIAA Journal, 59(4):1151–1168, 2021
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Coupled Newton–Krylov Time-Spectral Solver for Flutter and Limit Cycle Oscillation Prediction
S. He, E. Jonsson, C. A. Mader, and J. R. R. A. Martins
AIAA Journal, 59(6):2214–2232, 2021
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3-D High-Fidelity Hydrostructural Optimization of Cavitation-Free Composite Lifting Surfaces
Y. Liao, J. R. R. A. Martins, and Y. L. Young
Composite Structures, 268113937, 2021
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Natural Laminar Flow Wing Optimization Using a Discrete Adjoint Approach
Y. Shi, C. A. Mader, and J. R. R. A. Martins
Structural and Multidisciplinary Optimization, 64541–562, 2021
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Truss topology design optimization with guaranteed kinematic stability
M. Shahabsafa, R. Fakhimi, W. Lei, S. He, L. Zuluaga, J. R. R. A. Martins, and T. Terlaky
Structural and Multidisciplinary Optimization, 6321–38, 2021
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Enabling Large-scale Multidisciplinary Design Optimization through Adjoint Sensitivity Analysis
J. R. R. A. Martins, and G. Kennedy
Structural and Multidisciplinary Optimization, 642959–2974, 2021
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Toward Automatic Parabolized Stability Equation-Based Transition-to-Turbulence Prediction for Aerodynamic Flows
G. L. O. Halila, K. Fidkowski, and J. R. R. A. Martins
AIAA Journal, 59(2):462–473, 2021
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Enabling Large-scale Multidisciplinary Design Optimization through Adjoint Sensitivity Analysis
J. R. R. A. Martins, and G. J. Kennedy
Structural and Multidisciplinary Optimization, 642959–2974, 2021
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The DIRECT Algorithm—25 Years Later
D. R. Jones, and J. R. R. A. Martins
Journal of Global Optimization, 79521–566, 2021
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A Surface Mesh Deformation Method Near Component Intersections for High-Fidelity Design Optimization
A. Yildirim, C. A. Mader, and J. R. R. A. Martins
Engineering with Computers, 2021
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RANS-Based Aerodynamic Shape Optimization of a Wing Considering Propeller-Wing Interaction
S. Chauhan, and J. R. R. A. Martins
Journal of Aircraft, 58(3):497–513, 2021
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Aeroelastic scaling of flying demonstrator: flutter matching
J. M. Colomer, N. Bartoli, T. Lefebvre, J. R. R. A. Martins, and J. Morlier
Mechanics & Industry, 22(42), 2021
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An MDO-Based Methodology for Static Aeroelastic Scaling of Wings Under Non-Similar Flow
J. M. Colomer, N. Bartoli, T. Lefebvre, J. R. R. A. Martins, and J. Morlier
Structural and Multidisciplinary Optimization, 631045–1061, 2021
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Multipoint Aerodynamic Shape Optimization for Subsonic and Supersonic Regimes
M. Mangano, and J. R. R. A. Martins
Journal of Aircraft, 58(3):650–662, 2021
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Rapid Airfoil Design Optimization via Neural Networks-based Parameterization and Surrogate Modeling
X. Du, P. He, and J. R. R. A. Martins
Aerospace Science and Technology, 113106701, 2021
2020
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Efficient Aerodynamic Shape Optimization with Deep-learning-based Filtering
J. Li, M. Zhang, J. R. R. A. Martins, and C. Shu
AIAA Journal, 58(10):4243–4259, 2020
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Aerostructural Trade-offs for Tow-steered Composite Wings
T. R. Brooks, J. R. R. A. Martins, and G. J. Kennedy
Journal of Aircraft, 57(5):787–799, 2020
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ADflow: An open-source computational fluid dynamics solver for aerodynamic and multidisciplinary optimization
C. A. Mader, G. K. W. Kenway, A. Yildirim, and J. R. R. A. Martins
Journal of Aerospace Information Systems, 17(9):508–527, 2020
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Multidisciplinary design optimization framework with coupled derivative computation for hybrid aircraft
A. Sgueglia, ro, P. Schmollgruber, N. Bartoli, E. Benard, J. Morlier, J. Jasa, J. R. R. A. Martins, J. T. Hwang, and J. S. Gray
Journal of Aircraft, 57(4):715–729, 2020
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Flexible Formulation of Spatial Integration Constraints in Aerodynamic Shape Optimization
B. J. Brelje, J. Anibal, A. Yildirim, C. A. Mader, and J. R. R. A. Martins
AIAA Journal, 58(6):2571–2580, 2020
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Natural Laminar-Flow Airfoil Optimization Design Using a Discrete Adjoint Approach
Y. Shi, C. A. Mader, S. He, G. L. O. Halila, and J. R. R. A. Martins
AIAA Journal, 58(11):4702–4722, 2020
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Aerostructural Design Exploration of a Wing in Transonic Flow
N. P. Bons, and J. R. R. A. Martins
Aerospace, 7(8):118, 2020
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Large-Scale Path-Dependent Optimization of Supersonic Aircraft
J. Jasa, B. Brelje, J. Gray, C. A. Mader, and J. R. R. A. Martins
Aerospace, 7(152), 2020
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Tilt-wing eVTOL takeoff trajectory optimization
S. S. Chauhan, and J. R. R. A. Martins
Journal of Aircraft, 57(1):93–112, 2020
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Scalable gradient-enhanced artificial neural networks for airfoil shape design in the subsonic and transonic regimes
M. A. Bouhlel, S. He, and J. R. R. A. Martins
Structural and Multidisciplinary Optimization, 611363–1376, 2020
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Design Optimization of Spar Floating Wind Turbines Considering Different Control Strategies
J. M. Hegseth, E. E. Bachynski, and J. R. R. A. Martins
Journal of Physics: Conference Series, 1669012010, 2020
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Coupled Aeropropulsive Design Optimization of a Three-Dimensional BLI Propulsor Considering Inlet Distortion
J. S. Gray, C. A. Mader, G. K. W. Kenway, and J. R. R. A. Martins
Journal of Aircraft, 57(6):1014–1025, 2020
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DAFoam: An Open-Source Adjoint Framework for Multidisciplinary Design Optimization with OpenFOAM
P. He, C. A. Mader, J. R. R. A. Martins, and K. J. Maki
AIAA Journal, 58(3), 2020
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Integrated Design Optimization of Spar Floating Wind Turbines
J. M. Hegseth, E. E. Bachynski, and J. R. R. A. Martins
Marine Structures, 72102771, 2020
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pyOptSparse: A Python framework for large-scale constrained nonlinear optimization of sparse systems
N. Wu, G. Kenway, C. A. Mader, J. Jasa, and J. R. R. A. Martins
Journal of Open Source Software, 5(54):2564, 2020
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Adjoint-Based Aerodynamic Shape Optimization Including Transition to Turbulence Effects
G. L. O. Halila, J. R. R. A. Martins, and K. J. Fidkowski
Aerospace Science and Technology, (107):1–15, 2020
2019
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Truss topology design optimization with guaranteed kinematic stability
M. Shahabsafa, R. Fakhimi, W. Lei, T. Terlaky, L. Zuluaga, S. He, J. T. Hwang, and J. R. R. A. Martins
Lehigh University ISE technical report, 2019
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Sweep and anisotropy effects on the viscous hydroelastic response of composite hydrofoils
Y. Liao, J. R. R. A. Martins, and Y. L. Young
Composite Structures, 230111471, 2019
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Robust aerodynamic shape optimization—from a circle to an airfoil
X. He, J. Li, C. A. Mader, A. Yildirim, and J. R. R. A. Martins
Aerospace Science and Technology, 8748–61, 2019
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High-Reynolds Number Transitional Flow Simulation via Parabolized Stability Equations with an Adaptive RANS Solver
G. L. O. Halila, G. Chen, Y. Shi, K. J. Fidkowski, J. R. R. A. Martins, and M. M. T. de
Aerospace Science and Technology, 91321–336, 2019
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Design Optimization for Self-Propulsion of a Bulk Carrier Hull Using a Discrete Adjoint Method
P. He, G. Filip, J. R. R. A. Martins, and K. J. Maki
Computers & Fluids, 192104259, 2019
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OpenMDAO: An open-source framework for multidisciplinary design, analysis, and optimization
J. S. Gray, J. T. Hwang, J. R. R. A. Martins, K. T. Moore, and B. A. Naylor
Structural and Multidisciplinary Optimization, 59(4):1075–1104, 2019
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Coupled Aeropropulsive Design Optimization of a Boundary-Layer Ingestion Propulsor
J. S. Gray, and J. R. R. A. Martins
The Aeronautical Journal, 123(1259):121–137, 2019
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Multipoint high-fidelity CFD-based aerodynamic shape optimization of a 10 MW wind turbine
M. H. A. Madsen, F. Zahle, N. N. Sørensen, and J. R. R. A. Martins
Wind Energy Science, 4163–192, 2019
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Multipoint high-fidelity CFD-based aerodynamic shape optimization of a 10 MW wind turbine
M. H. A. Madsen, F. Zahle, N. N. Sørensen, and J. R. R. A. Martins
Wind Energy Sciences, 4163–192, 2019
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Data-driven Constraint Approach to Ensure Low-speed Performance in Transonic Aerodynamic Shape Optimization
J. Li, S. He, and J. R. R. A. Martins
Aerospace Science and Technology, 92536–550, 2019
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Aerothermal Optimization of a Ribbed U-Bend Cooling Channel Using the Adjoint Method
P. He, J. R. R. A. Martins, C. A. Mader, and K. Maki
International Journal of Heat and Mass Transfer, 140152–172, 2019
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RANS-based Aerodynamic Shape Optimization of a Strut-braced Wing with Overset Meshes
N. R. Secco, and J. R. R. A. Martins
Journal of Aircraft, 56(1):217–227, 2019
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Monolithic approach towards next generation aircraft design considering airline operations and economics
S. Roy, W. A. Crossley, K. T. Moore, J. S. Gray, and J. R. R. A. Martins
Journal of Aircraft, 56(4):1565–1576, 2019
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Experimental Investigation of a Hydrofoil Designed via Hydrostructural Optimization
N. Garg, B. W. Pearce, Br, P. A. ner, A. W. Phillips, J. R. R. A. Martins, and Y. L. Young
Journal of Fluids and Structures, 84243–262, 2019
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Data-based Approach for Fast Airfoil Analysis and Optimization
J. Li, M. A. Bouhlel, and J. R. R. A. Martins
AIAA Journal, 57(2):581–596, 2019
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Impact of Morphing Trailing Edge on Mission Performance for the Common Research Model
D. A. Burdette, and J. R. R. A. Martins
Journal of Aircraft, 56(1):369–384, 2019
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Viscous Fluid Structure Interaction Response of Composite Hydrofoils
Y. Liao, N. Garg, J. R. R. A. Martins, and Y. L. Young
Composite Structures, 212571–585, 2019
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Electric, Hybrid, and Turboelectric Fixed-Wing Aircraft: A Review of Concepts, Models, and Design Approaches
B. Brelje, and J. R. R. A. Martins
Progress in Aerospace Sciences, 1041–19, 2019
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High-fidelity Aerostructural Optimization of Tow-steered Composite Wings
T. R. Brooks, J. R. R. A. Martins, and G. J. Kennedy
Journal of Fluids and Structures, 88122–147, 2019
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A Jacobian-free approximate Newton–Krylov startup strategy for RANS simulations
A. Yildirim, G. K. W. Kenway, C. A. Mader, and J. R. R. A. Martins
Journal of Computational Physics, 397108741, 2019
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Gradient-enhanced kriging for high-dimensional problems
M. A. Bouhlel, and J. R. R. A. Martins
Engineering with Computers, 1(35):157–173, 2019
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Multimodality in Aerodynamic Wing Design Optimization
N. P. Bons, X. He, C. A. Mader, and J. R. R. A. Martins
AIAA Journal, 57(3):1004–1018, 2019
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A Python surrogate modeling framework with derivatives
M. A. Bouhlel, J. T. Hwang, N. Bartoli, R. Lafage, J. Morlier, and J. R. R. A. Martins
Advances in Engineering Software, 135102662, 2019
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Adaptive modeling strategy for constrained global optimization with application to aerodynamic wing design
N. Bartoli, T. Lefebvre, S. Dubreuil, R. Olivanti, R. Priem, N. Bons, J. R. R. A. Martins, and J. Morlier
Aerospace Science and Technology, 9085–102, 2019
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Effective Adjoint Approaches for Computational Fluid Dynamics
G. K. W. Kenway, C. A. Mader, P. He, and J. R. R. A. Martins
Progress in Aerospace Sciences, 110100542, 2019
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A Python surrogate modeling framework with derivatives
M. A. Bouhlel, J. T. Hwang, N. Bartoli, R. Lafage, J. Morlier, and J. R. R. A. Martins
Advances in Engineering Software, 102662, 2019
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Flutter and Post-Flutter Constraints in Aircraft Design Optimization
E. Jonsson, C. Riso, C. A. Lupp, C. E. S. Cesnik, J. R. R. A. Martins, and B. I. Epureanu
Progress in Aerospace Sciences, 109100537, 2019
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High-fidelity design-allocation optimization of a commercial aircraft maximizing airline profit
J. T. Hwang, J. Jasa, and J. R. R. A. Martins
Journal of Aircraft, 56(3):1165–1178, 2019
2018
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An Aerodynamic Design Optimization Framework Using a Discrete Adjoint Approach with OpenFOAM
P. He, C. A. Mader, J. R. R. A. Martins, and K. J. Maki
Computers & Fluids, 168285–303, 2018
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Modeling Boundary Layer Ingestion Using a Coupled Aeropropulsive Analysis
J. S. Gray, C. A. Mader, G. K. W. Kenway, and J. R. R. A. Martins
Journal of Aircraft, 55(3):1191–1199, 2018
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Component-based Geometry Manipulation for Aerodynamic Shape Optimization with Overset Meshes
N. R. Secco, J. P. Jasa, G. K. W. Kenway, and J. R. R. A. Martins
AIAA Journal, 56(9):3667–3679, 2018
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Design of a Transonic Wing with an Adaptive Morphing Trailing Edge via Aerostructural Optimization
D. A. Burdette, and J. R. R. A. Martins
Aerospace Science and Technology, 81192–203, 2018
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On Manufacturing Constraints for Tow-steered Composite Design Optimization
T. R. Brooks, and J. R. R. A. Martins
Composite Structures, 204548–559, 2018
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Benchmark Aerostructural Models for the Study of Transonic Aircraft Wings
T. R. Brooks, G. K. W. Kenway, and J. R. R. A. Martins
AIAA Journal, 56(7):2840–2855, 2018
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An automated selection algorithm for nonlinear solvers in MDO
S. S. Chauhan, J. T. Hwang, and J. R. R. A. Martins
Structural and Multidisciplinary Optimization, 58(2):349–377, 2018
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Open-source coupled aerostructural optimization using Python
J. P. Jasa, J. T. Hwang, and J. R. R. A. Martins
Structural and Multidisciplinary Optimization, 57(4):1815–1827, 2018
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On the Influence of Optimization Algorithm and Starting Design on Wing Aerodynamic Shape Optimization
Y. Yu, Z. Lyu, Z. Xu, and J. R. R. A. Martins
Aerospace Science and Technology, 75183–199, 2018
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A novel approach to discrete truss design problems using mixed integer neighborhood search
M. Shahabsafa, A. Mohammad–Nezhad, T. Terlaky, L. Zuluaga, S. He, J. T. Hwang, and J. R. R. A. Martins
Structural and Multidisciplinary Optimization, 582411–2429, 2018
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A computational architecture for coupling heterogeneous numerical models and computing coupled derivatives
J. T. Hwang, and J. R. R. A. Martins
ACM Transactions on Mathematical Software, 44(4):Article 37, 2018
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A fast-prediction surrogate model for large datasets
J. T. Hwang, and J. R. R. A. Martins
Aerospace Science and Technology, 7574–87, 2018
2017
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Chemical Equilibrium Analysis with Adjoint Derivatives for Propulsion Cycle Analysis
J. S. Gray, J. Chin, T. Hearn, E. Hendricks, T. Lavelle, and J. R. R. A. Martins
Journal of Propulsion and Power, 33(5):1041–1052, 2017
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Aerodynamic Shape Optimization of Wind Turbine Blades Using a Reynolds-Averaged Navier–Stokes Model and an Adjoint Method
T. Dhert, T. Ashuri, and J. R. R. A. Martins
Wind Energy, 20(5):909–926, 2017
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High-fidelity Multipoint Hydrostructural Optimization of a 3-D Hydrofoil
N. Garg, G. K. W. Kenway, J. R. R. A. Martins, and Y. L. Young
Journal of Fluids and Structures, 7115–39, 2017
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Expected Drag Minimization for Aerodynamic Design Optimization Based on Aircraft Operational Data
R. P. Liem, J. R. R. A. Martins, and G. K. Kenway
Aerospace Science and Technology, 63344–362, 2017
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An Evaluation of Constraint Aggregation Strategies for Wing Box Mass Minimization
A. B. Lambe, J. R. R. A. Martins, and G. J. Kennedy
Structural and Multidisciplinary Optimization, 55(1):257–277, 2017
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Buffet-Onset Constraint Formulation for Aerodynamic Shape Optimization
G. K. W. Kenway, and J. R. R. A. Martins
AIAA Journal, 55(6):1930–1947, 2017
2016
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Aerodynamic Shape Optimization of the Common Research Model Wing-Body-Tail Configuration
S. Chen, Z. Lyu, G. K. W. Kenway, and J. R. R. A. Martins
Journal of Aircraft, 53(1):276–293, 2016
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Aeroservoelastic Design Definition of a 20 MW Common Research Wind Turbine Model
T. Ashuri, J. R. R. A. Martins, M. B. Zaaijer, K. G. A. van, and B. G. J. van
Wind Energy, 19(11):2071–2087, 2016
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Multidisciplinary Design Optimization of Large Wind Turbines—Technical, Economic, and Design Challenges
T. Ashuri, M. B. Zaaijer, J. R. R. A. Martins, and J. Zhang
Energy Conversion and Management, 12356–70, 2016
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A Matrix-Free Augmented Lagrangian Algorithm with Application to Large-Scale Structural Design Optimization
S. Arreckx, A. B. Lambe, J. R. R. A. Martins, and D. Orban
Optimization and Engineering, 17(2):359–384, 2016
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Multipoint Aerodynamic Shape Optimization Investigations of the Common Research Model Wing
G. K. W. Kenway, and J. R. R. A. Martins
AIAA Journal, 54(1):113–128, 2016
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An unstructured quadrilateral mesh generation algorithm for aircraft structures
J. T. Hwang, and J. R. R. A. Martins
Aerospace Science and Technology, 59172–182, 2016
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Matrix-free aerostructural optimization of aircraft wings
A. B. Lambe, and J. R. R. A. Martins
Structural and Multidisciplinary Optimization, 53(3):589–603, 2016
2015
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Aerodynamic Shape Optimization Investigations of the Common Research Model Wing Benchmark
Z. Lyu, G. K. W. Kenway, and J. R. R. A. Martins
AIAA Journal, 53(4):968–985, 2015
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Surrogate Models and Mixtures of Experts in Aerodynamic Performance Prediction for Aircraft Mission Analysis
R. P. Liem, C. A. Mader, and J. R. R. A. Martins
Aerospace Science and Technology, 43126–151, 2015
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High-fidelity Hydrodynamic Shape Optimization of a 3-D Hydrofoil
N. Garg, G. K. W. Kenway, Z. Lyu, J. R. R. A. Martins, and Y. L. Young
Journal of Ship Research, 59(4):209–226, 2015
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Multimission Aircraft Fuel Burn Minimization via Multipoint Aerostructural Optimization
R. P. Liem, G. K. W. Kenway, and J. R. R. A. Martins
AIAA Journal, 53(1):104–122, 2015
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Aerodynamic Shape Optimization of an Adaptive Morphing Trailing Edge Wing
Z. Lyu, and J. R. R. A. Martins
Journal of Aircraft, 52(6):1951–1970, 2015
2014
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Scalable Parallel Approach for High-Fidelity Steady-State Aeroelastic Analysis and Adjoint Derivative Computations
G. K. W. Kenway, G. J. Kennedy, and J. R. R. A. Martins
AIAA Journal, 52(5):935–951, 2014
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Multipoint High-Fidelity Aerostructural Optimization of a Transport Aircraft Configuration
G. K. W. Kenway, and J. R. R. A. Martins
Journal of Aircraft, 51(1):144–160, 2014
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A parallel aerostructural optimization framework for aircraft design studies
G. J. Kennedy, and J. R. R. A. Martins
Structural and Multidisciplinary Optimization, 50(6):1079–1101, 2014
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A Parallel Finite-Element Framework for Large-Scale Gradient-Based Design Optimization of High-Performance Structures
G. J. Kennedy, and J. R. R. A. Martins
Finite Elements in Analysis and Design, 8756–73, 2014
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Concurrent Aerostructural Topology Optimization of a Wing Box
K. A. James, G. J. Kennedy, and J. R. R. A. Martins
Computers and Structures, 1341–17, 2014
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Wing Design via Numerical Optimization
J. R. R. A. Martins
SIAG/OPT Views-and-News, 23(2):2–6, 2014
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Optimization of the Kinematics of a Flapping Wing MAV in Hover for Enhanced Performance
A. Gogulapati, P. P. Friedmann, and J. R. R. A. Martins
AIAA Journal, 52(10):2342–2354, 2014
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Design of a lithium-ion battery pack for PHEV using a hybrid optimization method
N. Xue, W. Du, T. A. Greszler, W. Shyy, and J. R. R. A. Martins
Applied Energy, 115591–602, 2014
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A Surrogate-Based Multi-Scale Model for Mass Transport and Electrochemical Kinetics in Lithium-Ion Battery Electrodes
W. Du, N. Xue, W. Shyy, and J. R. R. A. Martins
Journal of the Electrochemical Society, 161(8):E3086–E3096, 2014
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Large-Scale Multidisciplinary Optimization of a Small Satellite’s Design and Operation
J. T. Hwang, D. Y. Lee, J. W. Cutler, and J. R. R. A. Martins
Journal of Spacecraft and Rockets, 51(5):1648–1663, 2014
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Multidisciplinary Design Optimization of Offshore Wind Turbines for Minimum Levelized Cost of Energy
T. Ashuri, M. B. Zaaijer, J. R. R. A. Martins, B. G. J. W. van, and K. G. A. M. van
Renewable Energy, 68893–905, 2014
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Portugueses em IO pelo Mundo—Joaquim R. R. A. Martins
J. R. R. A. Martins
Boletim APDIO, (50):15, 2014
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Aerodynamic Design Optimization Studies of a Blended-Wing-Body Aircraft
Z. Lyu, and J. R. R. A. Martins
Journal of Aircraft, 51(5):1604–1617, 2014
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Computing Stability Derivatives and their Gradients for Aerodynamic Shape Optimization
C. A. Mader, and J. R. R. A. Martins
AIAA Journal, 52(11):2533–2546, 2014
2013
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A Laminate Parametrization Technique for Discrete Ply-Angle Problems with Manufacturing Constraints
G. J. Kennedy, and J. R. R. A. Martins
Structural and Multidisciplinary Optimization, 48(2):379–393, 2013
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Simultaneous Optimization of Propeller-Hull Systems to Minimize Lifetime Fuel Consumption
M. Nelson, D. Temple, J. T. Hwang, Y. L. Young, J. R. R. A. Martins, and M. Collette
Applied Ocean Research, 4346–52, 2013
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Energy Density Comparison of Li-ion Cathode Materials using Dimensional Analysis
W. Du, N. Xue, A. M. Sastry, J. R. R. A. Martins, and W. Shyy
Journal of The Electrochemical Society, 160(8):A1187–A1193, 2013
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Optimization of LiMn2O4 Electrode Properties in a Gradient- and Surrogate-Based Framework
W. Du, N. Xue, A. Gupta, A. M. Sastry, J. R. R. A. Martins, and W. Shyy
Acta Mechanica Sinica, 29(3):335–347, 2013
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Stability-Constrained Aerodynamic Shape Optimization of Flying Wings
C. A. Mader, and J. R. R. A. Martins
Journal of Aircraft, 50(5):1431–1449, 2013
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Review and Unification of Methods for Computing Derivatives of Multidisciplinary Computational Models
J. R. R. A. Martins, and J. T. Hwang
AIAA Journal, 51(11):2582–2599, 2013
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Multidisciplinary Design Optimization: A Survey of Architectures
J. R. R. A. Martins, and A. B. Lambe
AIAA Journal, 51(9):2049–2075, 2013
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Optimization of a Single Lithium-ion Battery Cell with a Gradient-based Algorithm
N. Xue, W. Du, A. Gupta, W. Shyy, A. M. Sastry, and J. R. R. A. Martins
Journal of the Electrochemical Society, 160(8):A1071–A1078, 2013
2012
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Structural Topology Optimization with Design-Dependent Pressure Loads
E. Lee, and J. R. R. A. Martins
Computer Methods in Applied Mechanics and Engineering, 233–23640–48, 2012
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Extensions to the Design Structure Matrix for the Description of Multidisciplinary Design, Analysis, and Optimization Processes
A. B. Lambe, and J. R. R. A. Martins
Structural and Multidisciplinary Optimization, 46(2):273–284, 2012
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Stress-Constrained Topology Optimization with Design-Dependent Loading
E. Lee, K. A. James, and J. R. R. A. Martins
Structural and Multidisciplinary Optimization, 46647–661, 2012
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Aerostructural optimization of a composite wing
G. J. Kennedy, and J. R. R. A. Martins
2012
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A homogenization-based theory for anisotropic beams with accurate though-section stress and strain prediction
G. J. Kennedy, and J. R. R. A. Martins
International Journal of Solids and Structures, 49(1):54–72, 2012
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Stress-Based Topology Optimization Using an Isoparametric Level Set Method
K. A. James, E. Lee, and J. R. R. A. Martins
Finite Elements in Analysis and Design, 5820–30, 2012
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An Isoparametric Approach to Level Set Topology Optimization Using a Body-Fitted Finite Element Mesh
K. A. James, and J. R. R. A. Martins
Computers and Structures, 90–9197–106, 2012
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Derivatives for Time-Spectral Computational Fluid Dynamics Using an Automatic Differentiation Adjoint
C. A. Mader, and J. R. R. A. Martins
AIAA Journal, 50(12):2809–2819, 2012
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pyOpt: A Python-Based Object-Oriented Framework for Nonlinear Constrained Optimization
R. E. Perez, P. W. Jansen, and J. R. R. A. Martins
Structural and Multidisciplinary Optimization, 45(1):101–118, 2012
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Aeroservoelastic Design Optimization of a Flexible Wing
S. Haghighat, J. R. R. A. Martins, and H. H. T. Liu
Journal of Aircraft, 49(2):432–443, 2012
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Model-Predictive Gust Load Alleviation Controller for a Highly Flexible Aircraft
S. Haghighat, H. H. T. Liu, and J. R. R. A. Martins
Journal of Guidance, Control and Dynamics, 35(6):1751–1766, 2012
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Aircraft Conceptual Design for Optimal Environmental Performance
R. P. Henderson, J. R. R. A. Martins, and R. E. Perez
The Aeronautical Journal, 116(1175):1–22, 2012
2011
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Aerostructural design optimization of composite aircraft with stress and local buckling constraints using an implicit structural parametrization
G. J. Kennedy, and J. R. R. A. Martins
Proceedings of CASI AERO 2011, 2011
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A Timoshenko beam theory with pressure corrections for layered orthotropic beams
G. J. Kennedy, J. S. Hansen, and J. R. R. A. Martins
International Journal of Solids and Structures, 48(16-17):2373–2382, 2011
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Multidisciplinary Design Optimization for Complex Engineered Systems Design: Report from an NSF Workshop
T. W. Simpson, and J. R. R. A. Martins
Journal of Mechanical Design, 133(10):101002, 2011
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Computation of Aircraft Stability Derivatives Using an Automatic Differentiation Adjoint Approach
C. A. Mader, and J. R. R. A. Martins
AIAA Journal, 49(12):2737–2750, 2011
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Adaptive Accuracy Trust Region: Using Cross-Validation in the Optimization Process
Q. Thomson, and J. R. R. A. Martins
Engineering Optimization, 43(6):615–633, 2011
2010
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Aerostructural Optimization of Nonplanar Lifting Surfaces
P. Jansen, R. E. Perez, and J. R. R. A. Martins
Journal of Aircraft, 47(5):1491–1503, 2010
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Benchmarking Multidisciplinary Design Optimization Algorithms
N. P. Tedford, and J. R. R. A. Martins
Optimization and Engineering, 11(1):159–183, 2010
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Editorial—Special Issue on Optimization and Engineering Applications
J. R. R. A. Martins, and E. A. Kostina
Optimization and Engineering, 11(1):1–3, 2010
2009
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Structural Topology Optimization for Multiple Load Cases Using a Dynamic Aggregation Technique
K. James, J. S. Hansen, and J. R. R. A. Martins
Engineering Optimization, 41(12):1103–1118, 2009
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Structural Topology Optimization for Multiple Load Cases Using a Dynamic Aggregation Technique
K. James, J. S. Hansen, and J. R. R. A. Martins
Engineering Optimization, 41(12):1103–1118, 2009
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An Asymmetric Suboptimization Approach to Aerostructural Optimization
I. R. Chittick, and J. R. R. A. Martins
Optimization and Engineering, 10(1):133–152, 2009
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pyMDO: An Object-Oriented Framework for Multidisciplinary Design Optimization
J. R. R. A. Martins, C. Marriage, and N. P. Tedford
ACM Transactions on Mathematical Software, 36(4):20:1–20:25, 2009
2008
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Aero-Structural Optimization Using Adjoint Coupled Post-Optimality Sensitivities
I. R. Chittick, and J. R. R. A. Martins
Structures and Multidisciplinary Optimization, 36(1):59–70, 2008
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ADjoint: An Approach for the Rapid Development of Discrete Adjoint Solvers
C. A. Mader, J. R. R. A. Martins, J. J. Alonso, and d. W. E. van
AIAA Journal, 46(4):863–873, 2008
2007
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An Adaptive Approach to Constraint Aggregation Using Adjoint Sensitivity Analysis
N. M. K. Poon, and J. R. R. A. Martins
Structural and Multidisciplinary Optimization, 34(1):61–73, 2007
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A methodology for the development of discrete adjoint solvers using automatic differentiation tools
A. C. Marta, C. A. Mader, J. R. R. A. Martins, d. W. E. van, and J. J. Alonso
International Journal of Computational Fluid Dynamics, 21(9):307–327, 2007
2006
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Variable-complexity optimization applied to airfoil design
P. Thokala, and J. R. R. A. Martins
Engineering Optimization, 39(3):271–286, 2006
2005
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A Coupled-Adjoint Sensitivity Analysis Method for High-Fidelity Aero-Structural Design
J. R. R. A. Martins, J. J. Alonso, and J. J. Reuther
Optimization and Engineering, 6(1):33–62, 2005
2004
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High-Fidelity Aerostructural Design Optimization of a Supersonic Business Jet
J. R. R. A. Martins, J. J. Alonso, and J. J. Reuther
Journal of Aircraft, 41(3):523–530, 2004
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High-Fidelity Aerostructural Design Optimization of a Supersonic Business Jet
J. R. R. A. Martins, J. J. Alonso, and J. J. Reuther
Journal of Aircraft, 41(3):523–530, 2004
2003
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The Complex-Step Derivative Approximation
J. R. R. A. Martins, P. Sturdza, and J. J. Alonso
ACM Transactions on Mathematical Software, 29(3):245–262, 2003