13 research outputs found
Monitoring of the pine sawyer beetle Monochamus galloprovincialis by pheromone traps in Italy
Aerodynamic Shape Optimization in Aeronautics: A Fast and Effective Multi-Objective Approach
The present work aims at introducing a fast
and effective CFD-based automatic loop for optimization of
rotorcraft components. The automatic loop presented here
was strictly designed around an innovative Multi Objective
Evolutionary Algorithm, developed at University of Padua,
namely the GeDEA-II. Recent papers showed its excellent
performance when tested on state-of-the-art problems. In
order to test the performance of this algorithm two test cases
are presented, each having its peculiar characteristics. The
first problem regards the single-objective, multi-constraints
aerodynamic optimization of the ERICA tilt-rotor cockpit
region. The second one is a multi-point multi-constraint optimization
of the left intake of the AgustaWestland AW101
helicopter. Results demonstrate the effectiveness of this automatic
optimization loop in tackling real-word engineering
problems