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为获得一种更有效的估算结构基本自振周期的方法,采用SVSA结构振动信号采集分析系统对上海地区287幢房屋的脉动响应进行了现场实测,得到574个结构脉动响应样本及其对应的结构相关信息;针对现场动测结果数据量多、不规律、变化大的特点,采用基于方差分析的特殊统计处理方法对现场动测数据进行分析回归。经方差分析得到对结构基本自振周期影响最大的3个因素为层数、抗侧力体系与结构材料,以层数为主导因素,分别对其余2个因素分类回归经验公式。在确保回归效果显著的前提下,考虑实际应用的简便性,提出了简化的具有双侧95%置信区间的多因素型周期预测模型。
In order to obtain a more effective method of estimating the fundamental period of natural vibration of structures, the pulsation response of 287 houses in Shanghai area was measured on site using SVSA vibration signal acquisition and analysis system, and 574 structures of pulsation response samples and their corresponding structures According to the characteristics of the in-situ dynamic measurement data with large amount of data, irregular and large changes, the dynamic statistical analysis method based on variance analysis was used to analyze the field dynamic data. The variance analysis shows that the three factors that have the most influence on the period of natural vibration are the number of layers, the anti-lateral force system and the structural materials. The layer number is the dominant factor, and the other two factors are respectively classified as regression empirical formula. Under the premise of ensuring the significant regression effect and considering the simplicity of practical application, a simplified multivariate periodic prediction model with two 95% confidence intervals is proposed.