东南大学学报（自然科学版）Issue(z2)：279-282,4.DOI:10.3969/j.issn.1001-0505.2013.S2.013
隧道变形监测预测模型的建立与改正
Construction and correction of prediction model in tunnel deformation monitoring
摘要
Abstract
In order to improve the prediction accuracy of surrounding rock deformation in tunnel mo-nitoring, the specific factors affecting tunnel deformation are studied combined with specific engi-neering practice.First, when selecting variables in the prediction model, the calculation thought that the excavation of the tunnel face and the second lining support parameters are together used with time variable in predictive models is proposed by the gray theory.Secondly, because of the traditional measurement method influenced by observation equipment and internal construction, the prediction model is difficult to accurately estimate independent variables, and accumulated with time, the com-putation increases with the increase in variables.To overcome this problem, based on the important influence of deformation by the internal construction, the measurements are regarded as known quan-tity rather than the unknown quantity to estimate the coefficients of the equation by the recursive ad-justment method and the Kalman filter algorithm, and the measured values are regarded as independ-ent variables to predict future changes.Results show that the algorithm has obvious advantages than the traditional algorithm in prediction accuracy and computational efficiency.关键词
隧道监控/围岩变形预测/灰色理论/卡尔曼滤波算法Key words
tunnel monitoring/surrounding rock deformation prediction/gray theory/Kalman filter algorithm分类
天文与地球科学引用本文复制引用
宁伟,周立,宁亚飞,杨保..隧道变形监测预测模型的建立与改正[J].东南大学学报（自然科学版）,2013,(z2):279-282,4.基金项目
国家自然科学基金资助项目（40874018，40874009，41074051）、江苏淮海工学院自然科学基金资助项目（KQ10115）． （）
