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Investigations on the Validity of the Poisson Assumption in Reliability Based Optimization of TMD Parameters

机译:基于TMD参数的可靠性优化的泊松假设有效性研究

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The purpose of the present work is to investigate the validity of the Poisson assumption used in the failure analysis, which is in turn required for the reliability based optimization (RBO) of tuned mass dampers (TMD) parameters. The TMD is a widely used device aiming to mitigate induced vibrations into structures under stochastic loading. The performance of this device is deeply related to its parameters that should be carefully chosen and in this context the RBO strategy can be used. The RBO problem required failure analysis, usually, performed based on analytical approximations and among them we can find: the Poisson, the Vanmarcke and the modified Vanmarcke approximations. The failure analysis based on Poisson assumption is very simple and widely used for its lower computational cost compared with the other approximations. Nevertheless, it's also known that the Poisson approximation is inappropriate for narrowband process and/or for low threshold values, whereas, the other approximations could be used in such conditions. By studying a single degree of freedom system (SDOF), submitted to stochastic base acceleration, we investigate the relative error, in the optimum TMD parameters, induced by these approximations and we show that the Poisson assumption is relatively accurate and valid for high threshold level, even for narrowband excitations.
机译:本作工作的目的是研究失败分析中使用的泊松假设的有效性,这反过来是调谐质量阻尼器(TMD)参数的可靠性优化(RBO)所需的。 TMD是一种广泛使用的装置,其目的是减轻随机负荷下结构的诱导振动。该设备的性能与其应仔细选择的参数深入相关,并且在此上下文中可以使用RBO策略。 RBO问题需要故障分析,通常基于分析近似和其中我们可以找到:泊松,vanmarcke和修改后的vanmarcke近似。与其他近似相比,基于泊松假设的故障分析非常简单,广泛地用于其较低的计算成本。然而,也是已知泊松近似对于窄带过程和/或低阈值是不合适的,而其他近似可以在这种条件下使用。通过研究单一的自由度(SDOF),提交到随机基础加速度,我们研究了这些近似引起的最佳TMD参数中的相对误差,并且我们表明泊松假设相对准确并对高阈值水平有效,即使对于窄带刺激。

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