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

In recent decades, the environmental impacts of aviation have become a key challenge for
the aeronautical community. Advanced and well-established technologies such as active …

The surrogate modeling toolbox (SMT) is an open-source Python package that contains a
collection of surrogate modeling methods, sampling techniques, and benchmarking …

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 …

The adjoint method provides an efficient way to compute sensitivities for system models with
a large number of inputs. However, implementing the adjoint method requires significant …

Robotics has undergone a profound revolution in the past 50 years, moving from the
laboratory and research institute to the factory and home. Kinematics and dynamics theories …

Multidisciplinary design optimization is a field of research that studies the application of
numerical optimization techniques to the design of engineering systems involving multiple …

Mesh generation and deformation are critical elements in gradient-based aerodynamic
shape optimization (ASO). Improperly generated or deformed meshes may contain bad …

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

Multidisciplinary design optimization (MDO) is concerned with solving design problems
involving coupled numerical models of complex engineering systems. While various MDO …