Extracting optimal parameters and evaluating the performance of the self-control system using frequency and time domain analyses

Khodaie, Namat

doi:10.22065/jsce.2024.466461.3456

Extracting optimal parameters and evaluating the performance of the self-control system using frequency and time domain analyses

Document Type : Original Article

Author

Namat Khodaie

Assistant Professor, Civil Engineering Department, Islamic Azad University Khormuj Branch, Khormuj, Iran

10.22065/jsce.2024.466461.3456

Abstract

Structural systems with self-control capabilities, such as tall buildings with isolated suspended parts or controlled Mega-Sub systems, in which a part of the main structure acts as a vibration-absorbing substructure, have been proposed and noticed in recent years. In this research, the control performance of the self-control system was investigated by presenting a two-degree-of-freedom conceptual model with the primary damped mass under the white-noise random excitation and the vibrations of both masses are controlled. The optimal parameters and control performance of self-control system and TMD were compared using the frequency-domain analysis, and the vibration of the masses was also obtained with time-domain analysis. An example of a tall building under wind loads was presented and analyzed. The results showed that the efficiency of the self-control system increases with mass ratio. For example, in the conceptual model, for a mass ratio of 30%, the displacement was reduced by 70.7% compared to the uncontrolled state. The time-domain analysis showed that in the self-control system, the vibrations of the two masses are similar, but they have a phase difference, which provides the basis for controlling the vibrations by the damper. For the tall building, the self-control system played an effective role in controlling the structure's vibrations, especially the crosswind direction, which were more dominant than the along-wind vibrations. The optimal parameters of the along-wind response compared to the crosswind one were closer to the parameters of the conceptual model. For the tall building, providing a more accurate structural model and loading was associated with more favorable optimization results.

Keywords

Dynamic vibration absorber

Random vibration

Self-control ability

Passive control

Optimization

Subjects

Active and Passive Control of Structures

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