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Optimal Parameter Identification of Fuzzy Controllers in Nonlinear Buildings Based on Seismic Hazard Analysis Using Tribe-Charged System Search

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Advances in Structural Engineering—Optimization

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 326))

Abstract

Tabriz is one of the ancient cities in the North-West of Iran that has experienced many severe earthquakes for a long time. Implementing control strategies for buildings encountering severe earthquakes can prevent damages in structural members. Smart control strategies are capable of reducing ground motion effects by utilizing efficient control algorithms. Fuzzy logic controller is one of the most effective control algorithms that is mostly formulated based on the human knowledge and expertise. In many cases, the expert knowledge does not yield optimal control responses for structures under strong ground motions so the optimization of these controllers is concerned. The main aim of this paper is to optimize a fuzzy controller implemented in a 20-story steel structure with nonlinear behavior. In most cases, this problem is formulated based on the linear behavior of the structure; however, in this paper, the objective function and the performance criteria are selected based on the nonlinear characteristics of the structure. The Tribe-Charged System Search algorithm is proposed and utilized for optimization of membership functions and rule base of fuzzy controller. The seismic inputs for nonlinear dynamic analysis is selected thorough the energy based ground motion selection and modification method by utilizing the probabilistic seismic hazard analysis for Tabriz. The performance of the proposed algorithm is compared with the standard Charged System Search Algorithm and eight different metaheuristic algorithms. The obtained results prove that the upgraded method is capable of providing competitive results in reducing building responses and damages due to the destructive earthquake records.

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Authors and Affiliations

  1. Department of Civil Engineering, University of Tabriz, Tabriz, Iran

    Siamak Talatahari & Mahdi Azizi

  2. Engineering Faculty, Near East University, Mersin 10, North Cyprus, Turkey

    Siamak Talatahari

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  1. Siamak Talatahari
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  2. Mahdi Azizi
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Correspondence to Siamak Talatahari .

Editor information

Editors and Affiliations

  1. Department of Civil Engineering, Istanbul University - Cerrahpaşa, Istanbul, Turkey

    Sinan Melih Nigdeli

  2. Department of Civil Engineering, Istanbul University - Cerrahpaşa, Istanbul, Turkey

    Gebrail Bekdaş

  3. Department of Civil Engineering, Istanbul University - Cerrahpaşa, Istanbul, Turkey

    Aylin Ece Kayabekir

  4. Department of Civil Engineering, Istanbul University - Cerrahpaşa, Istanbul, Turkey

    Melda Yucel

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Talatahari, S., Azizi, M. (2021). Optimal Parameter Identification of Fuzzy Controllers in Nonlinear Buildings Based on Seismic Hazard Analysis Using Tribe-Charged System Search. In: Nigdeli, S.M., Bekdaş, G., Kayabekir, A.E., Yucel, M. (eds) Advances in Structural Engineering—Optimization. Studies in Systems, Decision and Control, vol 326. Springer, Cham. https://doi.org/10.1007/978-3-030-61848-3_4

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