基于时间序列分析的结构损伤识别
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摘要
针对如何从结构响应信息中提取结构损伤指标的问题,提出了一种基于时间序列分析的结构损伤识别方法。对结构响应数据进行预处理,利用完好工况下的结构响应数据作为参考数据,建立自回归(Auto regression-AR)预测参考模型。利用已建立的AR预测参考模型计算待识别工况的残差,将待识别工况的残差与AR预测参考模型的残差的方差之比作为损伤指标,对结构损伤进行识别;通过算例表明:该损伤指标不仅可以判断结构是否发生损伤,而且可以识别结构的损伤位置。
A structural damage identification method based on time series analysis was proposed to solve a problem how to get structural damage indexes in structural responses.Firstly,an AR prediction reference model was established using undamaged structural response data after data pre-processing.Secondly,the residual error of damage condition was calculated with the AR prediction reference model,and then the varianceratio of the calculated residual error and the residual error of the AR model was taken as a damage index.At last,a simply supported beam was takes as a case study.Results showed that the damage index proposed can find if the damage exists,and the proposed method can be used to locate the damage.
引文
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