Azizi, Mahdi, Talatahari, Siamak and Sareh, Pooya 
ORCID: 0000-0003-1836-2598
(2022)
Design optimization of fuzzy controllers in building structures using the crystal structure algorithm (CryStAl).
Advanced Engineering Informatics, 52 (IEEE A).
p. 101616.
Abstract
The current study uses a recently-developed metaheuristic method called Crystal Structure Algorithm (CryStAl) to achieve optimized vibration control in structural engineering. More specifically, this algorithm, which is inspired by the well-established crystallographic principles underlying the formation of crystalline solids in nature, is applied to the optimization of fuzzy logic controllers in building structures. To demonstrate the capability of this method in solving real engineering problems, two real-size building structures, one with three and the other with twenty stories, are considered. The fuzzy controllers are implemented through an active control system to control the seismically-induced vibrations of the structures intelligently. The evaluation criteria utilized to assess the overall performance of the optimization method applied to the fuzzy control system are presented and discussed. Through nonlinear structural analyses, the ductility, energy dissipation, and other nonlinear characteristics of the structures are also considered as the structural responses to be controlled. The computational results obtained from this novel metaheuristic algorithm are compared with those of the other expert systems from the optimization literature. The findings of this paper demonstrate that the Crystal Structure Algorithm is capable of outranking the other methods in the majority of considered cases.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Crystal Structure Algorithm (CryStAl), Fuzzy logic controller, Optimization, Metaheuristic algorithm, Nonlinear analysis |
| Divisions: | Faculty of Science and Engineering > School of Engineering |
| Depositing User: | Symplectic Admin |
| Date Deposited: | 06 May 2022 07:11 |
| Last Modified: | 15 Mar 2024 14:52 |
| DOI: | 10.1016/j.aei.2022.101616 |
| Open Access URL: | https://www.sciencedirect.com/science/article/pii/... |
| Related URLs: | |
| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3154345 |
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