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Optimization of multiple tuned mass dampers for vibration control of system under external excitation

机译:外部激励下用于系统振动控制的多重调谐质量阻尼器的优化

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摘要

Using a numerical searching technique the optimum parameters of multiple tuned mass dampers (MTMD) for suppressing the dynamic response of a damped main system subjected to external excitation are investigated. The criteria selected for the optimality is the minimization of the steady-state displacement of the main system under external harmonic excitation. The parameters of the MTMD that are optimized include: the damping ratio, the tuning frequency ratio and the frequency band-width. The optimum parameters of the MTMD system and corresponding steady-state displacement are obtained for different damping ratios of the main system and the mass ratios of the MTMD system. The explicit formulae for the optimum parameters of MTMD (i.e. damping ratio, band-width and tuning frequency) are then derived using a curve-fitting scheme that can readily be used for engineering applications. The error in the proposed explicit expressions is investigated and found to be quite negligible. The effectiveness of optimally designed MTMD system is also compared with that of the optimum single tuned mass damper and it is observed that the optimally designed MTMD system is found to be more effective for vibration control than the single tuned mass damper. Further, the damping in the main system significantly influences the optimum parameters and the effectiveness of the MTMD system. Finally, a sensitivity analysis of optimally designed MTMD system to study its performance under uncertainty in the parameter is also carried out.
机译:使用数值搜索技术研究了多重调谐质量阻尼器(MTMD)的最佳参数,该参数用于抑制受外部激励作用的阻尼主系统的动态响应。选择最佳的标准是在外部谐波激励下最小化主系统的稳态位移。经过优化的MTMD参数包括:阻尼比,调谐频率比和频带宽度。针对主系统的不同阻尼比和MTMD系统的质量比,获得了MTMD系统的最优参数和相应的稳态位移。然后使用曲线拟合方案导出MTMD最佳参数(即阻尼比,带宽和调谐频率)的明确公式,该曲线拟合方案可轻松用于工程应用。对提出的显式表达式中的错误进行了调查,发现可以忽略不计。还将最佳设计的MTMD系统的效果与最佳单调谐质量阻尼器的有效性进行了比较,并且发现,发现最佳设计的MTMD系统比单调谐质量阻尼器对振动控制更有效。此外,主系统中的阻尼会显着影响MTMD系统的最佳参数和有效性。最后,还进行了优化设计的MTMD系统的灵敏度分析,以研究其在参数不确定性下的性能。

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