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Estimation of hysteretic damping of structures by stochastic subspace identification

机译：通过随机子空间识别估计结构的滞后阻尼

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Highlights•Output-only system identification method for random vibrations of nonlinear systems.•Identification of model parameters of a non-linear system with hysteresis effects.•Derivation of equivalent linear relaxation damping model for hysteretic systems.•Robust identification of system poles by covariance driven stochastic subspace identification.AbstractOutput-only system identification techniques can estimate modal parameters of structures represented by linear time-invariant systems. However, the extension of the techniques to structures exhibiting non-linear behavior has not received much attention. This paper presents an output-only system identification method suitable for random response of dynamic systems with hysteretic damping. The method applies the concept of Stochastic Subspace Identification (SSI) to estimate the model parameters of a dynamic system with hysteretic damping. The restoring force is represented by the Bouc-Wen model, for which an equivalent linear relaxation model is derived. Hysteretic properties can be encountered in engineering structures exposed to severe cyclic environmental loads, as well as in vibration mitigation devices, such as Magneto-Rheological (MR) dampers. The identification technique incorporates the equivalent linear damper model in the estimation procedure. Synthetic data, representing the random vibrations of systems with hysteresis, validate the estimated system parameters by the presented identification method at low and high-levels of excitation amplitudes.
机译： 突出显示 • 用于非线性系统随机振动的仅输出系统识别方法。 • 使用以下项识别非线性系统的模型参数滞后效应。 • 用于滞后系统的等效线性松弛阻尼模型的推导。 •< / ce：label> 通过cov严格识别系统极点差异驱动的随机子空间识别。 摘要 仅用于输出的系统识别技术可以估计由线性时不变系统表示的结构的模态参数。然而，将技术扩展到表现出非线性行为的结构并未引起太多关注。本文提出了一种仅输出的系统辨识方法，适用于具有滞后阻尼的动态系统的随机响应。该方法应用了随机子空间识别（SSI）的概念来估计具有滞后阻尼的动态系统的模型参数。恢复力由Bouc-Wen模型表示，为此得出了等效的线性松弛模型。在暴露于严重循环环境负荷的工程结构中以及在减震装置（例如磁流变（MR）减振器）中可能会遇到滞后特性。识别技术将等效线性阻尼器模型纳入估算程序。代表滞后系统随机振动的合成数据，通过提出的识别方法，在低和高水平的激励振幅下验证了估计的系统参数。

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