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Designing Fuzzy Controllers for Frame Structures Based on Ground Motion Prediction Using Grasshopper Optimization Algorithm: A Case Study of Tabriz, Iran

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Nature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications

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Abstract

Tabriz is an ancient city in the northwest of Iran that has experienced many severe earthquakes for a long time. Implementing control strategies in regular buildings can prevent damages in structural members during earthquakes. Fuzzy logic controller is an effective control algorithm that is mostly formulated regarding the human knowledge and expertise. This chapter concentrates on the optimum design of fuzzy logic controllers implemented in a 20-story steel structure with nonlinear behavior using grasshopper optimization algorithm. Regarding the absence of earthquake records for Tabriz, ground motion prediction is necessary for structural seismic analysis. The seismic inputs for nonlinear dynamic analysis are selected thorough the energy-based selection and modification procedure for ground motions by utilizing the probabilistic seismic hazard analysis for Tabriz and ground motion prediction model for Middle East. The results show that the optimization procedure was capable of reducing building responses and damages due to the destructive earthquake records.

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Author information

Authors and Affiliations

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

    Mahdi Azizi

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  1. Mahdi Azizi
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Correspondence to Mahdi Azizi .

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Editors and Affiliations

  1. Department of Civil Engineering, Karamanoglu Mehmetbey University, Karaman, Turkey

    Serdar Carbas

  2. Department of Electrical and Electronics Engineering, Karamanoglu Mehmetbey University, Karaman, Turkey

    Abdurrahim Toktas

  3. Department of Computer Engineering, Tarsus University, Tarsus, Turkey

    Deniz Ustun

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Azizi, M. (2021). Designing Fuzzy Controllers for Frame Structures Based on Ground Motion Prediction Using Grasshopper Optimization Algorithm: A Case Study of Tabriz, Iran. In: Carbas, S., Toktas, A., Ustun, D. (eds) Nature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications. Springer Tracts in Nature-Inspired Computing. Springer, Singapore. https://doi.org/10.1007/978-981-33-6773-9_8

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