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Active Vibration Control of Seismically Excited Building Structures by Upgraded Grey Wolf Optimizer

Azizi, M., Talatahari, S. and Giaralis, A. ORCID: 0000-0002-2952-1171 (2021). Active Vibration Control of Seismically Excited Building Structures by Upgraded Grey Wolf Optimizer. IEEE Access, doi: 10.1109/access.2021.3134202

Abstract

In recent decades, active vibration control of buildings for earthquake-induced damage mitigation has been widely considered in the scientific literature. Fuzzy logic control (FLC) has been shown to be an effective approach to regulate control forces exerted by actuators to building structures to reduce earthquake-borne oscillations. In many cases, FLC definition relying solely on expert knowledge does not result in optimal control responses for structures under strong ground motions. Thus, FLC optimal design becomes critical. In this regard, this paper puts forth an enhanced version of the metaheuristic Grey Wolf Optimizer (UGWO) to optimally design membership functions and rule base of FLC to minimize seismic structural damage defined in terms of maximum curvature ductility ratio at the end of structural members. The potential of UGWO for the purpose is demonstrated by considering a FLC implemented to control the seismic response of a 20-story steel structure with nonlinear behavior through active actuators. The performance of the UGWO is gauged by examining nine different structural performance metrics and compared to results from 5 different widely used state-of-art metaheuristic optimization algorithms including the original Grey Wolf Optimizer. Comparisons demonstrate the capability of UGWO in providing better solutions in most of cases, resulting in reduced structural response and damage of the considered building.

Publication Type: Article
Publisher Keywords: Ground motion; Fuzzy logic controller; Optimization; Upgraded Grey Wolf Optimizer; Active seismic control
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TH Building construction
Departments: School of Mathematics, Computer Science & Engineering > Engineering > Civil Engineering
Project Input:
Project IDFunder NameFunder ID
99011998Iran National Science Foundationhttp://dx.doi.org/10.13039/501100003968
EP/M017621/1Engineering and Physical Sciences Research Councilhttp://dx.doi.org/10.13039/501100000266
Date available in CRO: 13 Dec 2021 10:29
Date deposited: 13 December 2021
Date of first online publication: 8 December 2021
URI: https://openaccess.city.ac.uk/id/eprint/27259
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