Abstract Machine learning (ML) has been increasingly used to aid aerodynamic shape
optimization (ASO), thanks to the availability of aerodynamic data and continued …

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 …

Full scale aerodynamic wind tunnel testing, numerical simulation of high dimensional (full-
order) aerodynamic models or flight testing are some of the fundamental but complex steps …

We model acoustic oscillations driven by velocity-coupled heat release rate fluctuations. We
obtain an inhomogeneous wave equation and convert it to the frequency domain with a …

The ship** industry has valued wind energy in the last decades due to the global
increasingly severe environmental situation. The sail-assisted vessels have employed …

The latest updates on the Vertex Morphing technique for large optimization problems are
shown in this work. Discussions about the challenges of node-based shape optimization in …

Structural shape optimization is one important and crucial step in the design and analysis of
many engineering applications as it aims to improve structural characteristics, ie, reducing …

Computer-aided design (CAD) tools are extensively used to design industrial components,
however, contrary to eg computational fluid dynamics (CFD) solvers, shape sensitivities for …

This paper presents an efficient optimization process, where the parameters defining the
features in a feature-based CAD model are used as design variables. The process exploits …

The adjoint method is considered as the most efficient approach to compute gradients with
respect to an arbitrary number of design parameters. However, one major challenge of …