基于灰色理论的基坑沉降预测分析  

Analysis of the Prediction of Foundation Sedimentation Based on Grey Theory

作　　者：贾备[1] 邬亮[1] 

机构地区：[1]中南大学土木建筑学院,湖南长沙410075

出　　处：《吉首大学学报（自然科学版）》2009年第4期78-80,共3页Journal of Jishou University(Natural Sciences Edition)

摘　　要：提出了灰色GM(1,1)模型及其精度检验与修正的方法,并利用灰色关联度理论对沉降规律相似的关联点进行了归类,从而达到了在实际工程中用少数监测点的沉降情况来估计较多相似点的目的,提高了基坑监测的经济效益.最后以广州市轨道交通三号线燕塘站的监测情况为实例,得出灰色GM(1,1)模型的预测平均误差为4.19%,关联度计算与实际情况吻合良好.The process of the GM （1,1） model＇s construction, the accuracy inspection and the correction methods are presented. Using the grey correlation theory the points which have the similar rules of sedimentation are classified in order that only a few monitoring points＇ sedimentation condition is used to estimate the other related points＇ and improve the economic benefits. Take No. 3 route Yantang station in Guangzhou Metro Station as an example. That GM （1,1） model forecasts the average error of 4. 19 percent, and calculation of correlation is in good agreement with the actual situation.

关 键 词：基坑沉降预测 灰色模型 关联度 

分 类 号：TU441.6[建筑科学—岩土工程]