Optimization of the Geometry of Aeroelastic Energy Harvester
[ 1 ] Instytut Mechaniki Stosowanej, Wydział Inżynierii Mechanicznej, Politechnika Poznańska | [ D ] doktorant | [ P ] pracownik
2022
rozdział w monografii naukowej / referat
angielski
- Energy harvesting
- Optimization
- Galloping
EN Geometry optimization was performed using a genetic algorithm (GA) that processes data from computational fluid dynamics (CFD) calculations. This algorithm generated a random population of twenty-arm geometrical figures. Each geometry was subjected to a numerical experiment during which the resultant force acting on the body was calculated. The calculations were repeated for angular orientation of the object varying from 0 to 180 degrees, at 5 degrees step, to obtain a complete characteristic of aerodynamical forces acting on the body related to its angular orientation. For each of the obtained functions, the satisfaction of Den Hartog’s criterion is examined, which is the basis for geometry evaluation. To accelerate the calculations, classical GA has been modified by implementing a chaotic crossover process based on a logistic map. The numerical calculations were performed using the Method of Fundamental Solutions.
04.01.2022
241 - 252
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