Deep Residual Networks have recently been shown to significantly improve the
performance of neural networks trained on ImageNet, with results beating all previous …

Antony Jameson pioneered CFD-based aerodynamic design optimization in the late 1980s.
In addition to developing the fundamental theory, Jameson implemented that theory in …

Aerodynamic modeling plays an important role in multiphysics and design problems, in
addition to experiment and numerical simulation, due to its low-dimensional representation …

The adjoint method is used for high-fidelity aerodynamic shape optimization and is an
efficient approach for computing the derivatives of a function of interest with respect to a …

Computational fluid dynamics through the solution of the Navier–Stokes equations with
turbulence models has become commonplace. However, simply solving these equations is …

Flutter is a dynamic aeroelastic instability driven by the interaction of inertial, elastic, and
aerodynamic forces. It is an undesirable phenomenon in aircraft because it causes divergent …

Airfoil shape design is one of the most fundamental elements in aircraft design. Existing
airfoil design tools require at least a few minutes to analyze a new shape and hours to …

When designing aircraft, avoiding dynamic aeroelastic instabilities such as flutter is a key
requirement. One way to meet this requirement is to use a multidisciplinary design …

Aerothermal optimization is a powerful technique for automating the design of turbine
internal cooling passages, where both pressure loss and heat transfer are considered …

Aeroelastic flutter design derivatives may be approximated by ignoring the sensitivity of the
structural mode shapes. This fixed-mode derivative is less expensive to compute than the …