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根据长期的施工经验可知,隧道拱顶下沉量除了与时间有密切关联外,还与掌子面、二衬及下半断面开挖里程有关,针对这一问题,该文采用灰色绝对关联度分析证实了隧道拱顶下沉量与观测点距掌子面、二衬及下半断面开挖距离存在着密切的关联关系,并计算出各因素间的关联度;在此基础上,整合各项影响因素,建立了隧道拱顶下沉综合计算模型,并采用卡尔曼滤波(Kalman filtering)进行模型参数的估计,从而得到更加准确的隧道拱顶下沉量,为隧道围岩稳定性的准确判断及预测模型的建立打下基础。
According to the long-term construction experience, it is known that the settlement of the tunnel vault is closely related to the time, and is also related to the excavation distance of the face, the lining and the lower half of the tunnel. To solve this problem, this paper adopts the gray absolute correlation The analysis confirms that there is a close relationship between the settlement of the tunnel vault and the distance between the observation point and the face, the second lining and the excavation distance of the lower half section, and calculates the correlation degree between the factors. On this basis, , The comprehensive calculation model of tunnel vault sinking is established and Kalman filtering is used to estimate the model parameters so as to obtain a more accurate tunnel vault settlement. Judgment and prediction model to lay the foundation.