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A hybrid metaheuristic method for optimization of active tuned mass dampers
Computer-Aided Civil and Infrastructure Engineering ( IF 9.6 ) Pub Date : 2021-11-12 , DOI: 10.1111/mice.12790
Aylin Ece Kayabekir 1 , Sinan Melih Nigdeli 2 , Gebrail Bekdaş 2
Affiliation  

A metaheuristic-based tuning methodology for the optimization of active tuned mass dampers (ATMDs) is presented. The methodology considers both physical parameters of ATMDs and controller parameters of the control algorithm. The employed control algorithm is a proportional–integral–derivative type controller. ATMDs are used in structures in the reduction of structural responses resulted from earthquakes. The proposed methodologies must be feasible for real practices in construction, so consider all physical factors such as stroke capacity, limitation of the active control force, the time delay of the generated control signal, and a time-saving one. A novel hybrid metaheuristic algorithm that combines the specific advantages of four metaheuristics (harmony search, flower pollination algorithm, teaching-learning-based optimization and Jaya algorithm) is proposed for the optimization process. The results of the process showed that ATMDs are more effective for high values strike limitations, compared to TMDs. The feasibility and effectiveness of the optimum control method are also demonstrated on a full-size 76-story structure.

中文翻译:

一种用于优化主动调谐质量阻尼器的混合元启发式方法

提出了一种用于优化主动调谐质量阻尼器 (ATMD) 的基于元启发式的调谐方法。该方法同时考虑了 ATMD 的物理参数和控制算法的控制器参数。采用的控制算法是比例-积分-微分型控制器。ATMD 用于结构中以减少地震引起的结构响应。所提出的方法必须在实际施工中可行,因此要考虑所有物理因素,例如行程能力、主动控制力的限制、生成的控制信号的时间延迟和节省时间的信号。一种新颖的混合元启发式算法,它结合了四种元启发式算法(和谐搜索、花授粉算法、基于教学的优化和 Jaya 算法)被提出用于优化过程。该过程的结果表明,与 TMD 相比,ATMD 对高值罢工限制更有效。最优控制方法的可行性和有效性也在一个全尺寸的76层结构上得到了证明。
更新日期:2021-11-12
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