- Tytuł:
- Application of heuristic methods to identification of the parameters of discrete-continuous models
- Autorzy:
-
Cekus, Dawid
Kwiatoń, Paweł
Šofer, Michal
Šofer, Pavel - Powiązania:
- https://bibliotekanauki.pl/articles/2173518.pdf
- Data publikacji:
- 2022
- Wydawca:
- Polska Akademia Nauk. Czytelnia Czasopism PAN
- Tematy:
-
discrete-continuous model
experimental modal analysis
optimalization
identification
vibrations
model dyskretno-ciągły
eksperymentalna analiza modalna
optymalizacja
identyfikacja
wibracje - Opis:
- The article presents the process of identifying discrete-continuous models with the use of heuristic algorithms. A stepped cantilever beam was used as an example of a discrete-continuous model. The theoretical model was developed based on the formalism of Lagrange multipliers and the Timoshenko theory. Based on experimental research, the theoretical model was validated and the optimization problem was formulated. Optimizations were made for two algorithms: genetic (GA) and particle swarm (PSO). The minimization of the relative error of the obtained experimental and numerical results was used as the objective function. The performed process of identifying the theoretical model can be used to determine the eigenfrequencies of models without the need to conduct experimental tests. The presented methodology regarding the parameter identification of the beams with the variable cross-sectional area (according to the Timosheno theory) with additional discrete components allows us to solve similar problems without the need to exit complex patterns.
- Źródło:
-
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2022, 70, 1; e140150, 1--7
0239-7528 - Pojawia się w:
- Bulletin of the Polish Academy of Sciences. Technical Sciences
- Dostawca treści:
- Biblioteka Nauki