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Metaheuristic-Based Structural Control Methods and Comparison of Applications

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Nature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications

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Abstract

Active or passive control strategies are developed for the control of civil structures. Since the structures are huge systems as a mechanical system, the control must be feasible for application proposals and cost efficiency performance. For that reason, structural control methods are still an active research area by optimum tuning of system parameters. The tuning of control systems is the most essential subject in performance of control systems. Also, the classical methods are not effective for civil structures subjected to seismic activities. In this chapter, a state-of-the-art review about active, passive, semi-active, and hybrid control studies is presented especially for seismic structures. Then, two active control models are compared via metaheuristics. These models are active tuned mass damper (ATMD) and active tendon control (ATC). Advantages and disadvantages are given in the conclusion.

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Authors and Affiliations

  1. Department of Civil Engineering, Turkish-German University, Sahinkaya Cad 86, 34820, Istanbul, Turkey

    Serdar Ulusoy

  2. Department of Civil Engineering, Istanbul University-Cerrahpaşa, 34320, Avcılar/Istanbul, Turkey

    Aylin Ece Kayabekir, Sinan Melih Nigdeli & Gebrail Bekdaş

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  1. Serdar Ulusoy
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  2. Aylin Ece Kayabekir
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  3. Sinan Melih Nigdeli
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  4. Gebrail Bekdaş
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Correspondence to Sinan Melih Nigdeli .

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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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Ulusoy, S., Kayabekir, A.E., Nigdeli, S.M., Bekdaş, G. (2021). Metaheuristic-Based Structural Control Methods and Comparison of Applications. 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_12

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