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Random oscillations of nonlinear systems with distributed Parameter
Author(s) -
Levan Gavasheli,
Anri Gavasheli
Publication year - 2021
Publication title -
annals of mathematics and physics
Language(s) - English
Resource type - Journals
ISSN - 2689-7636
DOI - 10.17352/amp.000027
Subject(s) - nonlinear system , vibration , random vibration , natural frequency , boundary value problem , probabilistic logic , work (physics) , mechanical system , equations of motion , control theory (sociology) , mathematical analysis , mathematics , computer science , physics , acoustics , classical mechanics , statistics , control (management) , quantum mechanics , artificial intelligence , thermodynamics
The article analyzes random vibrations of nonlinear mechanical systems with distributed parameters. The motion of such systems is described by nonlinear partial differential equations with corresponding initial and boundary conditions. In our case, the system as a whole is limited, so any motion can be considered as the sum of the natural oscillations of the system, i.e. in the form of an expansion of the boundary value problem in terms of own functions. The use of the theory of random processes in the calculation of mechanical systems is a prerequisite for the creation of sound design methods and the creation of effective vibration protection devices, these methods allow us to investigate dynamic processes, to determine the probabilistic characteristics of displacements of points of the system and their first two derivatives. In the work established these conditions are met, they provide effective vibration protection of the system under study with wide changes in the pass band of the frequencies of the random vibration effect, and the frequency of the disturbing force is much greater than the natural frequency of the system as a whole, in addition, with an increase in the damping capacity of the elastic-damping link of the system, the intensity of the random process significantly decreases, which in turn leads to a sharp decrease in the dynamic coefficient of the system.

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