基于等维递补灰色模型的深基坑地表沉降预测  

Prediction of surface settlement in deep foundation pits based on equal-dimensional recurrence gray model

作　　者：丁玉贤 任聚阳 郝林 DING Yuxian;REN Juyang;HAO Lin(Civil Engineering School,Inner Mongolia University of Science and Technology,Baotou 014010,China;Intelligent Construction and Operation Engineering Research Center at Universities of Inner Mongolia Autonomous Region,Baotou 014010,China;Xingtai Construction Group Co.,Ltd.,Ordos 017000,China)

机构地区：[1]内蒙古科技大学土木工程学院,内蒙古包头014010 [2]内蒙古自治区高校智能建造与运维工程研究中心,内蒙古包头014010 [3]兴泰建设集团有限公司,内蒙古鄂尔多斯017000

出　　处：《内蒙古科技大学学报》2023年第1期66-70,共5页Journal of Inner Mongolia University of Science and Technology

基　　金：内蒙古自治区自然科学基金资助项目(2022MS05005).

摘　　要：在对未来较大区间进行预测时,传统静态GM(1,1)模型的预测结果会逐渐失真,而依据等维递补模型理论构建新的自适应等维递补算法具有更高的精度.因此,采用郑州市东风路地铁站工程中地表沉降最大观测点DBC-16-02的9个观测周期(即2021年11月12日~2021年11月20日)的观测数据,应用SPSS数据统计分析软件,分别采用传统静态GM(1,1)模型及其优化后的等维递补模型进行了深基坑地表沉降预测实验.结果表明:等维递补灰色预测模型平均相对误差更小,可靠性更高,对于加强基坑地表沉降的预测和预防基坑安全事故的发生,具有积极的指导意义.When making a forecast about the future in a large range,the results predicted by the traditional static GM(1,1)model will gradually become distorted,and the new adaptive algorithm based on the equal-dimensional complementary correction theory has higher precision.Hence,by applying SPSS data statistical analysis software,the observation data of 9 observation periods(from November 12,2021 to November 20,2021)at the largest observation point DBC-16-02 of land subsidence in the Zhengzhou Dongfeng Road Subway Station Project was adopted to conduct the deep foundation pit surface sedimentation prediction experiment with the traditional static GM(1,1)model and its optimized equal-dimensional supplementary model.The result reveals that the average relative error of the equal-dimension supplementary gray prediction model is smaller and more reliable,providing guiding significance for reinforcing the prediction of foundation pit surface sedimentation and preventing foundation pit safety accidents.

关 键 词：基坑沉降 灰色理论 等维递补 预测模型 

分 类 号：TU196.2[建筑科学—建筑理论]