冻结压力AI-GM理论预测方法研究

Research to the AI-GM Forecast Method for Freeze Pressure

为确保运用冻结法在深厚表土中进行井筒施工过程的安全,需对外层井壁承受的冻结压力发展趋势进行准确预测。在用遗传方法对灰色理论建模数据进行全局优化的基础上,建立了预测冻结法施工中外层井壁承受冻结压力发展趋势的智能灰色理论模型。通过预测值与监测值的对比,表明该模型能很好地对井壁承受的冻结压力发展趋势进行预测,对快速、安全建井意义重大。

In order to guarantee the construction security during the well chamber construction with freezing method in the deep surface soil, it is necessary to forecast the freeze pressure trend of the outer well layer wall withstanding. On the basis of the global optimization of data which is used to build up mold, the artificial intelligent grey theory mold was established to forecast the freeze pressure development trend. Through contrasting the forecast value and the monitor value, the authors find that the mold can carry on the forecast well for freeze pressure development trend. The mold has great meaning in fast and safe construction of shaft.