基于平稳自归模型对隧道边墙变形的预测分析

Analysis on Distortion Prediction of Tunnel Sidewall Based on Stable Autoregressive Model

广西某公路隧道边墙初期支护变形监测,是一组动态数据。不同时刻的变形数据,相互影响,彼此关联,并不独立。基于平稳自回归模型(AR模型),充分利用它能描绘变量之间互动关系和规律的优势,对隧道边墙初期支护变形监测数据进行预测分析,取得了较为合理的变形预测结果。

Guangxi is separated. interacting monitoring The monitoring sequence in relation to early distortion of tunnel sidewall support of a highway in a group of dynamic data. These data at different times interact and relate mutually and are not Depending on stable autoregressive model （AR model） and making full play of its description of relation and rule between variables, predication and analysis is carried out in connection with these data and proper result of distortion prediction is obtained.