摘要
结构损伤会引起动力响应特征参数的变化，而环境因素（温度、湿度）的改变同样也会导致动力响应特征参数发生变化，有时甚至会淹没损伤引起的动力响应特征参数的变化，从而导致基于振动的结构损伤识别方法失效。为消除环境因素（温度）的影响，本文利用时间序列分析中的AR模型和多元统计分析中的因子分析并结合标准差控制图进行结构的损伤预警研究。首先利用AR模型对结构损伤前后的加速度响应数据进行动态建模，并提取模型系数，其次利用因子分析去除温度对AR模型系数的影响，最后利用标准差控制图进行损伤预警。数值模拟结果表明，在温度变化的条件下，该方法成功地对四层钢框架结构进行了损伤预警。
Abstract
Structural damage will cause the dynamic response feature parameters change, the variation of the environmental effect (temperature, humidity) can make the dynamic response feature parameters change too, which can often mask subtle changes of dynamic response feature parameters caused by damage causing false structural damage detection. To eliminate the influences of environmental effects (temperature), the AR model of time series analysis and factor analysis of multivariate statistical analysis combined with statistical control chart are employed for structural damage alarming. Firstly, the AR model is used to model the structure acceleration response data pre and post damage, and the model coefficients are extracted. Secondly, the factor analysis is employed to remove the influences of temperature on AR model coefficients. Finally, standard deviation control chart is used to alarm damage. The results of numerical simulation show that the proposed method can accomplish the damage alarm of a four-floor steel frame under temperature variations.
关键词
损伤预警 /
温度 /
AR模型 /
因子分析 /
统计控制图
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Key words
damage alarm /
temperature /
AR model /
factor analysis /
statistical control charts
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刁延松;任红.
基于AR模型和因子分析的结构损伤预警研究[J]. 振动与冲击, 2014, 33(18): 115-119
Diao Yansong RenHong .
Study on the structural damage alarm based on AR model and factor analysis [J]. Journal of Vibration and Shock, 2014, 33(18): 115-119
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