基于ARMAX模型及MA参数修正的框架结构动态参数识别

结构动态参数识别和特征提取是工程，特别是重大工程质量和寿命全过程监控的核心研究内容，本文用ARMAX模型对结构的输出数据建模，然后识别结构的步和阻尼，在识别过程中为了消除相位多值性而带来的ARMAX模型对结构的输出建模，然后识别结构的频率和阻尼进行识别，最后对此方法在十六层框架结构模型上进行了试验验证，计算结果表明，该方法获得较好的效果。

Dynamic Parameter Identification of Steel Frame Structure Based on ARMAX Model and MA Parameter Updating

Dynamic parameter identification and signature extraction of structures have become a key research topic,especially for the health monitoring of infrastructures.This paper models structures on vibration data using auto regressive moving average exogenous(ARMAX)discrete time series model to identify the frequencies and damping of the structure.In order to solve the multi value problem caused by the phase,it develops a method of using the MA parameters as auxiliary parameters for the AR method to identify the right frequency and damping of the structure.This method can completely eliminate the mismatched values of frequency and damping caused by the problem of phase.Experimental response data from a model of steel frame structure are used to verify the technique.The results show that the method can obtain better value than the method of only using AR parameter for identifying the dynamic parameters of frequency and damping.