Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Salp swarm optimization of active tuned mass dampers in asymmetric plan buildings including SSI effects
Active tuned mass dampers (ATMDs) device is used for the structures where a mass is exited from the platform to create the structure to reduce vibrations. Active tuned mass dampers are generally used in many fields due to their high strength and vitality. Furthermore, the predicted effects of soil-structure interactions (SSI) on the machine structure are of paramount importance and should be considered sufficient for the best ATMD project not to be forgotten. This study aims to find the optimum parameters in ATMD design with the effects of SSI using mathematical and simulation approaches. To reduce more extreme transmission and speed up the story, we expand the plan factors, e.g. ATMD mass, damping coefficient and spring strength. Here, deep neural network (DNN) is used for find the optimum parameters; in this DNN the weights are optimized using opposition-based salp swarm optimization (OSSA). The optimized parameter for ATMD decreased vibrations of trembling high structures, including SSI effects. Improvement approaches are updated in the operational basis of MATLAB programming.
Salp swarm optimization of active tuned mass dampers in asymmetric plan buildings including SSI effects
Active tuned mass dampers (ATMDs) device is used for the structures where a mass is exited from the platform to create the structure to reduce vibrations. Active tuned mass dampers are generally used in many fields due to their high strength and vitality. Furthermore, the predicted effects of soil-structure interactions (SSI) on the machine structure are of paramount importance and should be considered sufficient for the best ATMD project not to be forgotten. This study aims to find the optimum parameters in ATMD design with the effects of SSI using mathematical and simulation approaches. To reduce more extreme transmission and speed up the story, we expand the plan factors, e.g. ATMD mass, damping coefficient and spring strength. Here, deep neural network (DNN) is used for find the optimum parameters; in this DNN the weights are optimized using opposition-based salp swarm optimization (OSSA). The optimized parameter for ATMD decreased vibrations of trembling high structures, including SSI effects. Improvement approaches are updated in the operational basis of MATLAB programming.
Salp swarm optimization of active tuned mass dampers in asymmetric plan buildings including SSI effects
Asian J Civ Eng
Mishra, Abhishek (Autor:in) / Shukla, A. K. (Autor:in) / Shukla, Mukesh (Autor:in) / Vanshaj, Kumar (Autor:in)
Asian Journal of Civil Engineering ; 24 ; 837-848
01.04.2023
12 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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