Abstract

The simplified one-story asymmetric models cannot simulate the inelastic performance of controlled irregular multi-story frame type buildings subjected to extreme dynamic loadings, especially when the effect of higher modes on distribution of engineering demand parameters (EDPs) over the height of the structures is an important design factor. In the present study, controlled nonlinear seismic response of coupled translational–torsional irregular multi-story smart buildings is investigated. In order to control such nonlinear systems, a new robust adaptive model-based controller is introduced. This new adaptive model-based strategy, due to using adjustable parameters such as instant stiffness, could well consider the nonlinear behavior of the structure and act more precisely in controlling the torsional behavior of Magneto- Rheological (MR) dampers-equipped multi-story torsional buildings. The proposed controller uses the advantages of nonlinear static analysis in order to introduce the instant nonlinear stiffness of the structure into model-based control strategies such as LQR (Linear–Quadratic–Regulator) or LQG (Linear–Quadratic–Gaussian) and also Clipped Optimal algorithms. The proposed controller is applied to a set of low and mid-rise multi-story buildings equipped with MR dampers considering three different torsional behavior. The Fiber elements are employed to simulate the non-linear behavior of structural members. The findings of this study revealed the robustness of the proposed strategy to control the seismic inelastic torsional responses of multi-story buildings subjected to ordinary and pulse-like ground motions.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.