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Optimization of the Geometry of Aeroelastic Energy Harvester


[ 1 ] Instytut Mechaniki Stosowanej, Wydział Inżynierii Mechanicznej, Politechnika Poznańska | [ D ] phd student | [ P ] employee

Scientific discipline (Law 2.0)

[2.9] Mechanical engineering

Year of publication


Chapter type

chapter in monograph / paper

Publication language


  • 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.

Date of online publication


Pages (from - to)

241 - 252





Perspectives in Dynamical Systems I: Mechatronics and Life Sciences : DSTA, Łódź, Poland December 2–5, 2019

Presented on

15th International Conference Dynamical Systems - Theory and Applications (DSTA 2019), 2-5.12.2019, Łódź, Polska

Ministry points / chapter


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