Numerical Analysis of Nonlinear Dynamics of an Offshore Platform for Energy Harvesting
Fragment książki (Rozdział monografii pokonferencyjnej)
MNiSW
20
Poziom I
Status: | |
Autorzy: | Ribeiro Mauricio Aparecido, Tusset Angelo Marcelo, Lenz Wagner B., Balthazar José Manoel, Litak Grzegorz |
Dyscypliny: | |
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Wersja dokumentu: | Drukowana | Elektroniczna |
Język: | angielski |
Strony: | 425 - 436 |
Web of Science® Times Cited: | 0 |
Scopus® Cytowania: | 0 |
Bazy: | Web of Science | Scopus |
Efekt badań statutowych | NIE |
Finansowanie: | The authors acknowledge the support from the Brazilian agencies CAPES and the authors also acknowledge the financial support by the Brazilian Council for Scientific and Technological Development, CNPq, grants 306525/2015-1 and 307371/2017-4, respectively and support of the program of the Ministry of Science and Higher Education in project DIALOG 0019/DLG/2019/10 in the years 2019-2021.Poland DIALOG 0019/DLG/2019/10 in the years 2019-2021. |
Materiał konferencyjny: | TAK |
Nazwa konferencji: | 16th International Conference Dynamical Systems Theory and Applications |
Skrócona nazwa konferencji: | 16th DSTA 2021 |
URL serii konferencji: | LINK |
Termin konferencji: | 6 grudnia 2021 do 12 grudnia 2021 |
Miasto konferencji: | Łodź |
Państwo konferencji: | POLSKA |
Publikacja OA: | NIE |
Abstrakty: | angielski |
In this work, we numerically investigate the nonlinear model that describes the displacement of an offshore platform under ocean wave action. However, we have coupled a piezoceramic based system for the possible analysis of the generated energy that the system can produce. And so, a proposal for a pilot model for energy collection. For our analysis we investigate the behavior of the attraction basins described by the initial conditions of the system dynamics. Thus, we identified that the attraction basins have the sifting phenomenon with the variation of the parameter p. Other analyzes performed were the Maximum Lyapunov Exponent to determine the parametric set for dynamic regions where the system is in a chaotic or periodic regime. This behavior affects energy production, as the values that determine the maximum power have a positive LME exponent. We also determined the chaotic and periodic phase map as we observed in the results. |