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Dynamic analysis of frames with viscoelastic dampers: a comparison of damper models
Lewandowski, R.,Bartkowiak, A.,Maciejewski, H. Techno-Press 2012 Structural Engineering and Mechanics, An Int'l Jou Vol.41 No.1
Frame structures with viscoelastic (VE) dampers mounted on them are considered in this paper. It is the aim of this paper to compare the dynamic characteristics of frame structures with VE dampers when the dampers are modelled by means of different models. The classical rheological models, the model with the fractional order derivative, and the complex modulus model are used. A relatively large structure with VE dampers is considered in order to make the results of comparison more representative. The formulae for dissipation energy are derived. The finite element method is used to derive the equations of motion of the structure with dampers and such equations are written in terms of both physical and state-space variables. The solution to motion equations in the frequency domain is given and the dynamic properties of the structure with VE dampers are determined as a solution to the appropriately defined eigenvalue problem. Several conclusions concerning the applicability of a family of models of VE dampers are formulated on the basis of results of an extensive numerical analysis.
Dynamic analysis of frames with viscoelastic dampers: a comparison of damper models
R. Lewandowski,A. Bartkowiak,H. Maciejewski 국제구조공학회 2012 Structural Engineering and Mechanics, An Int'l Jou Vol.41 No.1
Frame structures with viscoelastic (VE) dampers mounted on them are considered in this paper. It is the aim of this paper to compare the dynamic characteristics of frame structures with VE dampers when the dampers are modelled by means of different models. The classical rheological models,the model with the fractional order derivative, and the complex modulus model are used. A relatively large structure with VE dampers is considered in order to make the results of comparison more representative. The formulae for dissipation energy are derived. The finite element method is used to derive the equations of motion of the structure with dampers and such equations are written in terms of both physical and state-space variables. The solution to motion equations in the frequency domain is given and the dynamic properties of the structure with VE dampers are determined as a solution to the appropriately defined eigenvalue problem. Several conclusions concerning the applicability of a family of models of VE dampers are formulated on the basis of results of an extensive numerical analysis.
A Neural-network-based Control System for a Dynamic Model of Tractor With Multiple Trailers System
Wojciech Paszkowiak,Marcin Pelic,Tomasz Bartkowiak 제어·로봇·시스템학회 2023 International Journal of Control, Automation, and Vol.21 No.10
Tractors with multiple trailers are widely applied means of transport in manufacturing systems. There exist numerous designs of trailers and tractors, making the estimation of the system trajectory and the required transportation corridor a complex task. It is also difficult to achieve the same trajectory for a manually operated tractor for multiple runs. The problem is complicated if there are multiple towed trailers or a dynamic drive on slippery ground. One approach is to replace the driver with an automated steering system. This paper presents a dynamic model of a tractor with multiple trailer system, based on the Lagrange formalism, which is controlled by artificial neural networks. To account for the slip phenomenon, a sigmoidal tire model was used. The algorithm of the artificial neural network provides the most appropriate input parameters for tractor steering for a given transportation area. The input parameters are the torques applied to the tractor wheels and are determined by the algorithm based on the data collected by the LiDAR scanner during the train run. These data include distances for each unit from the obstacle (e.g., wall), information about the occurrence of a collision, and the distance traveled by the tractor. The simulation results of the integration of the dynamic model and the neural network modeled are presented in a graphic form. The proposed algorithm ensures a collision-free ride of the system.