Hybrid experimental investigation of MR damper controlled tuned mass damper used for structures under earthquakes

IF 3.3 3区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Hüseyin Aggümüş, R. Güçlü
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引用次数: 0

Abstract

This paper aims to investigate the performances of a semi-active tuned mass damper (STMD) used to reduce the vibrations of buildings under different seismic excitation by the real-time hybrid simulation (RTHS) method. MR damper is used as a semi-active control element in the STMD. The RTHS method is an alternative to experimentally studying the semi-active tuned mass dampers (STMD) system. MR damper, which is critically significant for the system, is experimentally installed, while the other parts are designed in numerical simulation and tested simultaneously. The Groundhook control algorithm determines the voltage transmitted to the MR damper. The results show that the control method applied to MR damper-controlled STMD effectively suppresses structural vibrations.
地震作用下结构磁流变阻尼器控制调谐质量阻尼器的混合试验研究
采用实时混合仿真(RTHS)方法研究了半主动调谐质量阻尼器(STMD)在不同地震激励下的减振性能。磁流变阻尼器在STMD中用作半主动控制元件。RTHS方法是半主动调谐质量阻尼器(STMD)系统实验研究的一种替代方法。对系统至关重要的磁流变阻尼器进行了实验安装,其他部分进行了数值模拟设计和试验。土钩控制算法确定传输到磁流变阻尼器的电压。结果表明,磁流变阻尼器控制方法能有效抑制结构振动。
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来源期刊
Journal of Artificial Intelligence and Soft Computing Research
Journal of Artificial Intelligence and Soft Computing Research COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-
CiteScore
7.00
自引率
25.00%
发文量
10
审稿时长
24 weeks
期刊介绍: Journal of Artificial Intelligence and Soft Computing Research (available also at Sciendo (De Gruyter)) is a dynamically developing international journal focused on the latest scientific results and methods constituting traditional artificial intelligence methods and soft computing techniques. Our goal is to bring together scientists representing both approaches and various research communities.
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