Abstract Using a set of full-scale free vibration measurements, two separate state of the art identification strategies are implemented for the time domain identification of the modal properties of the superstructure of a three-story base-isolated building. In a first approach, the superstructure is modeled as a fixed-base linear 3-DOF system subjected to the base acceleration measured during the tests. Identification is performed using the Covariance Matrix Adaptation Evolution Strategy (CMA-ES), a stochastic algorithm for non-linear, black-box optimization. In the second approach, a first order state-space representation of the superstructure is considered, and identification is carried out using the Eigensystem Realization Algorithm with Data Correlation, complemented by the Observer/Kalman filter Identification algorithm (ERA-DC/OKID). A single-input and multiple-output system is considered, the input being the recorded base acceleration and the output given by the measured floor accelerations. The results of the two procedures are compared leading to considerations about modeling assumptions that are typically adopted in the analysis and design of base-isolated buildings.

中文翻译：

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使用自由振动试验识别基础隔震建筑物上部结构的一阶和二阶模型：案例研究

摘要 使用一组全尺寸自由振动测量，实现了两个独立的最先进的识别策略，用于三层基础隔震建筑物上部结构的模态特性的时域识别。在第一种方法中，上部结构被建模为固定基础线性 3-DOF 系统，该系统受到在测试期间测量的基础加速度。使用协方差矩阵适应进化策略 (CMA-ES) 执行识别，这是一种用于非线性黑盒优化的随机算法。在第二种方法中，考虑了上层结构的一阶状态空间表示，并使用具有数据相关性的特征系统实现算法进行识别，辅以观察者/卡尔曼滤波器识别算法（ERA-DC/OKID）。考虑单输入和多输出系统，输入是记录的基本加速度，输出是测量的地板加速度。将两个程序的结果进行比较，从而对基础隔震建筑的分析和设计中通常采用的建模假设进行考虑。