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Aircraft
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title: AIAA Journal of Aircraft
Computation of Aircraft Stability Derivatives Using an Automatic Differentiation Adjoint Approach
Multidisciplinary Design Optimization: A Survey of Architectures
Multidisciplinary design optimization is a field of research that studies the application of numerical optimization techniques to the
...Multimission Aircraft Fuel-Burn Minimization via Multipoint Aerostructural Optimization
Computing Stability Derivatives and Their Gradients for Aerodynamic Shape Optimization
Aerodynamic shape optimization of aircraft configurations often ignores stability considerations. To address this, a method for the
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Aerodynamic Shape Optimization Investigations of the Common Research Model Wing Benchmark
Multipoint Aerodynamic Shape Optimization Investigations of the Common Research Model Wing
Buffet-Onset Constraint Formulation for Aerodynamic Shape Optimization
High-fidelity computational modeling and optimization of aircraft configurations have the potential to enable engineers to create more
...Benchmark Aerostructural Models for the Study of Transonic Aircraft Wings
Component-Based Geometry Manipulation for Aerodynamic Shape Optimization with Overset Meshes
Multimodality in Aerodynamic Wing Design Optimization
The application of gradient-based optimization to wing design could potentially reveal revolutionary new wing concepts. Giving the
...Flexible Formulation of Spatial Integration Constraints in Aerodynamic Shape Optimization
DAFoam: An Open-Source Adjoint Framework for Multidisciplinary Design Optimization with OpenFOAM
The inclusion of transition-to-turbulence effects in computational fluid dynamics simulations is essential to accurately predict drag
...Coupled Newton–Krylov Time-Spectral Solver for Flutter and Limit Cycle Oscillation Prediction
Flutter and limit cycle oscillation (LCO) are important phenomena that need to be considered in aircraft design. Previous harmonic
...Linear Stability-Based Smooth Reynolds-Averaged Navier–Stokes Transition Model for Aerodynamic Flows
Efficient Mesh Generation and Deformation for Aerodynamic Shape Optimization
Physics-Based Data-Driven Buffet-Onset Constraint for Aerodynamic Shape Optimization
High-Fidelity Aerostructural Optimization with a Geometrically Nonlinear Flutter Constraint
Sensitivity-Based Geometric Parametrization and Automatic Scaling for Aerodynamic Shape Optimization
Aerodynamic shape optimization has become well established, with designers routinely performing wing and full aircraft optimizations
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