Author Archives: Andrea Da Ronch

Aircraft Engineering and Aerospace Technology

Adaptive design of experiments for efficient and accurate estimation of aerodynamic loads” has been published in the Aircraft Engineering and Aerospace Technology: An International Journal. The work is part of an on-going research collaboration with Noesis Solutions N.V aimed at validating new methodologies of machine learning.

AIAA SciTech 2017 Conference

We have presented three research papers at the AIAA SciTech conference held in Grapevine, TX, during 9 to 13 January 2017. You can find the presentations here:

1) Analysis of Resolved Scales of Motion in Aeroelastic Problems, presented by Prof. M. Righi;
2) A Gust Reconstruction Framework Applied to a Nonlinear Reduced Order Model of a Wing Typical Section, presented by S. Simeone;
3) Extension of Analytical Indicial Aerodynamics to Generic Trapezoidal Wings in Subsonic Flow, presented by Dr A. Da Ronch.

Seminar on “Machine learning techniques applied to computational fluid dynamics”

We have organised a seminar on “Machine learning techniques applied to computational fluid dynamics” held at the University of Southampton, Building 13 Room 3019, on 24 November 2016. The speakers are Dr. Marco Panzeri and Roberto d’Ippolito from Noesis Solutions N.V.