This work develops a novel ice detection framework specifically suitable for rotorcraft using
computational aeroacoustics and Bayesian neural networks. In an offline phase of the work …

This paper presents a new framework for Aerodynamic Shape Optimization (ASO)
implemented inside the open-source software SU2. A parametrized surface is iteratively …

This paper investigates the effect of the geometric parameters–rod diameter and the
distance between the rod and the airfoil–on the noise generated by a rod-airfoil …

This paper presents numerical studies on airfoil leading-edge turbulence interaction noise
reduction using poro-wavy leading edges. Three different bionic treatments including wavy …

This paper presents an efficient adjoint-based shape optimization framework for airframe
noise reduction in which algorithmic differentiation (AD) is applied to the open-source …

Abstract Computational Fluid Dynamic (CFD) tools have revolutionized the way to design
engineering systems, but most established codes are proprietary and closed-source, making …

The goal of the present project is to build a multidisciplinary, rapid, robust, and accurate
computational tool to optimize wing-mounted propeller designs. The full Farassat's …

In recent years, deep learning (DL) algorithms have gained widespread use in scientific and
engineering fields, promising insights into complex trends within extensive datasets …

With more efficient structures, last trends in aeronautics have witnessed an increased
flexibility of wings, calling for adequate design and optimization approaches. To correctly …

Ongoing efforts to develop a fully open-source framework for the aero-structural design and
optimization of wings, including aerodynamic and structural geometric nonlinearities, are …