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AGENT: an adaptive grouping and entrapping method for flocking systems
Wang Chen,Kuang Wenxi,Gu Minqiang,Fan Zhun 한국CDE학회 2023 Journal of computational design and engineering Vol.10 No.1
This study proposes a distributed algorithm that enables agents’ adaptive grouping and entrapment of multiple targets via automatic decision making, smooth flocking, and well-distributed entrapping. In this study, an agent distributed decision framework is proposed. Agents make their own decisions about which targets to surround based on environmental information. Meanwhile, a modified Vicsek model is proposed to enable agents to smoothly change formations to adapt to the environment, while forming an entrapping effect on the target. In addition, we provide an optional rotary entrapping function for this model to achieve better effect. We validate the performance of proposed method using simulation and physical experiments.
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Qinhua Wang,Haoshuai Qiao,Wenji Li,Yugen You,Zhun Fan,Nayandeep Tiwari 한국풍공학회 2020 Wind and Structures, An International Journal (WAS Vol.31 No.3
The inerter-based vibration absorber (IVA) is an enhanced variation of Tuned Mass Damper (TMD). The parametric optimization of absorbers in the previous research mainly considered only two decision variables, namely frequency ratio and damping ratio, and aimed to minimize peak displacement and acceleration individually under the excitation of the across-wind load. This paper extends these efforts by minimizing two conflicting objectives simultaneously, i.e., the extreme displacement and acceleration at the top floor, under the constraint of the physical mass. Six decision variables are optimized by adopting a constrained multi-objective evolutionary algorithm (CMOEA), i.e., NSGA-II, under fluctuating across- and along-wind loads, respectively. After obtaining a set of optimal individuals, a decision-making approach is employed to select one solution which corresponds to a Tuned Mass Damper Inerter/Tuned Inerter Damper (TMDI/TID). The optimization procedure is applied to parametric optimization of TMDI/TID installed in a 340-meter-high building under wind loads. The case study indicates that the optimally-designed TID outperforms TMDI and TMD in terms of wind-induced vibration mitigation under different wind directions, and the better results are obtained by the CMOEA than those optimized by other formulae. The optimal TID is proven to be robust against variations in the mass and damping of the host structure, and mitigation effects on acceleration responses are observed to be better than displacement control under different wind directions.
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