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卡尔曼滤波在超高层结构变形监测中的应用
资料介绍
卡尔曼滤波方法是一种有效的滤波方法,而且具有强大的预测功能,目前尚未见其应用于超高层结构变形监测,本文提出将卡尔曼滤波原理应用于超高层结构变形监测的方法,编写了相关程序,并比较了α-β模型与α-β-γ模型的滤波效果与短期预测精度。为了验证卡尔曼滤波方法的有效性,本文将其应用于南宁某在建超高层结构水平位移的监测与分析。研究结果表明:α-β-γ模型的卡尔曼滤波方法能够有效去除该超高层结构水平位移监测数据中包含的噪声,滤波后的曲线较原曲线更平滑,曲线变化规律更明显,是适用于超高层结构变形监测数据处理的有效方法;该方法短期预测精度较高,其对超高层结构变形趋势的预测具有较大的参考价值。
Kalman filter method is an effective filtering and prediction method, with powerful predictive capabilities, which has not been employed into deformation monitoring of super-high-rise structure yet. This paper presents the procedure of applying the Kalman filter principle to deformation monitoring of super high-rise structure. Both α-β model and α-β-γ model are compared in the filter effect and short-term prediction accuracy.In order to investigate the effectiveness of Kalman filter method, this method is applied to the horizontal displacement monitoring of a certain super high-rise structure under construction in Nanning, Guangxi.Research results sh...
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卡尔曼滤波在超高层结构变形监测中的应用.pdf | 890K |
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