Constraint minimum variance unbiased estimator is improvised for simultaneous input and parameter estimation of the Bouc–Wen hysteretic system of a full‐scale bridge pier. The essential structural properties in this case (i.e., bounded input and bounded output) are incorporated in the form of constraint conditions along with degradation and pinching effects. To demonstrate the efficiency of this algorithm, two different types of sigma points generation schemes (viz., unscented transformed points and cubature quadrature points) are presented here. First, the algorithm is validated using simulated response obtained from a single‐bay single‐storey reinforced concrete frame, whose hysteretic parameters are obtained by minimizing the error between the model and experimentally observed load‐deformation characteristics. The rationale behind the use of experimentally observed hysteresis in simulation is to replicate the actual structure so that the realistic material behaviour is maintained. Once the algorithm is validated, its performance is further demonstrated using experimental results of a full‐scale bridge pier, which is the main objective of this study. The numerical results presented in this paper clearly show the robustness of the proposed algorithm using unscented sigma points, which can identify both hysteretic properties and input excitation with sufficient level of accuracy.

中文翻译：

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约束最小方差无偏估计量用于有界输入和有界输出（BIBO）型Bouc–Wen滞后结构系统的同时输入和状态估计的实验验证

对于全尺寸桥墩Bouc–Wen滞后系统的同时输入和参数估计，建议使用约束最小方差无偏估计器。在这种情况下，基本的结构特性（即，有限的输入和有限的输出）以约束条件以及退化和收缩效应的形式被并入。为了证明该算法的有效性，此处介绍了两种不同类型的sigma点生成方案（即，无味的转换点和quature正交点）。首先，该算法通过使用从单间单层钢筋混凝土框架获得的模拟响应进行验证，该框架的滞后参数是通过最小化模型与实验观察到的载荷变形特性之间的误差而获得的。在模拟中使用实验观察到的磁滞的基本原理是复制实际结构，以便保持实际的材料行为。一旦算法得到验证，将使用全尺寸桥墩的实验结果进一步证明其性能，这是本研究的主要目标。本文中给出的数值结果清楚地表明了该算法使用无味sigma点的鲁棒性，可以以足够的精度识别滞后特性和输入激励。这是本研究的主要目标。本文中给出的数值结果清楚地表明了该算法使用无味sigma点的鲁棒性，可以以足够的精度识别滞后特性和输入激励。这是本研究的主要目标。本文中给出的数值结果清楚地表明了该算法使用无味sigma点的鲁棒性，可以以足够的精度识别滞后特性和输入激励。