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Nondimensionalized Bouc-Wen model with structural degradation for Kalman filter-based real-time monitoring

机译:具有基于卡尔曼滤波器的实时监控结构退化的非歧义BOUC-WEN模型

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摘要

The Bouc-Wen model is one of the most widely accepted models for describing seismic hysteretic behavior owing to its versatility. However, in structural monitoring applications, implementing the Bouc-Wen model often causes an over-fitting problem because the phenomenological property includes redundant parameters. In this paper, the Bouc-Wen model is reexamined, and its nondimensionalized form is derived. The proposed nondimensionalized model describes hysteretic behavior with yield displacement, and the nondimensional hysteresis displacement is bounded between-1 and 1. In the proposed model, the dissipated energy is almost equivalent to the displacement per cycle and can be interpreted as the dissipation per an equivalent number of cycles. This interpretation enables us to assign a physical meaning to the degradation per cycle. The applicability of the proposed model was experimentally validated based on an unscented Kalman filter-based parameter identification technique. The identification results show that the nondimensionalized Bouc-Wen model can eliminate the over-fitting problem by converting one hysteresis variable into a variable that can be physically specified as the yield displacement. The convergence rate in estimating the strength and stiffness reduction coefficients was increased as a result of the proposed nondimensionalization.
机译:该的Bouc-Wen模型是描述由于它的多功能性地震滞回特性最为广泛接受的车型之一。然而,在结构监测应用中,实现的Bouc-Wen模型往往因为物业现象包括冗余参数会导致过度拟合问题。在本文中,的Bouc-Wen模型进行复核,其无量纲形式的。所提出的无量纲模型描述滞后行为与屈服位移,和无量纲滞后位移为界和1.在所提出的模型1之间-中,耗散能几乎等于每个循环的位移,并且可以被解释为每一个当量的耗散周期数。这个解释让我们的物理意义分配给每个周期的恶化。所提出的模型的适用性基于无迹为基础的滤波器的卡尔曼参数识别技术进行了实验验证。鉴定结果表明,无量纲的Bouc-Wen模型可以由一个滞后变量转换成可以被物理地指定为屈服位移的可变消除过拟合问题。在估计的强度和刚度降低系数的收敛速度增加为所提出的无量纲化后的结果。

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