基于灰色荷载预测的多元线性模型预测高层建筑沉降  

Application of Multivariate Linear Model Based on Gray LoadPrediction in Predicting the Settlement of High-rise Buildings

作　　者：张明智 张明栋 ZHANG Mingzhi;ZHANG Mingdong(Shenzhen Geotechnical Investigation&Surveying Institute(Group)Co.,Ltd.,Shenzhen 518000,China)

机构地区：[1]深圳市勘察测绘院(集团)有限公司,广东深圳518000

出　　处：《测绘与空间地理信息》2024年第5期195-197,201,共4页Geomatics & Spatial Information Technology

摘　　要：高层建筑物沉降已经成为一种普遍的城市疾病,为了避免由于高层建筑物沉降导致的灾害,对其进行监测、预测极其重要。为了解决某些情况下荷载估算困难的问题,提出一种利用灰色GM(1,1)模型预测荷载,然后利用多元线性回归模型预测高层建筑物沉降量的组合模型。为了验证所提模型的有效性,通过与利用灰色GM(1,1)模型预测高层建筑物沉降量以及实测数据进行对比,发现组合模型与实测沉降量更接近,其沉降量绝对误差均不大于0.06 mm,绝对误差最大值为0.06 mm,最小值为0.01 mm,效果较好。The settlement of high-rise buildings has become a common urban disease.In order to avoid disasters caused by the settle-ment of high-rise buildings,it is very important to monitor and predict them.In order to solve the problem of load estimation in some cases,a combination model that uses gray GM(1,1)model to predict load and then uses multivariate linear regression model to pre-dict the settlement of high-rise buildings is proposed.In order to verify the effectiveness of the proposed model,by comparing the set-tlement of high-rise buildings predicted by the gray GM(1,1)model with the measured data,it is found that the result predicted by the combination model is closer to the measured settlement,and the absolute error of the settlement is not greater than 0.06 mm,the maximum absolute error is 0.06 mm,the minimum is 0.01 mm,the effectiveness is better.

关 键 词：灰色GM(1 1)模型 多元线性模型 高层建筑物沉降 预测 

分 类 号：P25[天文地球—测绘科学与技术] TB22[天文地球—大地测量学与测量工程]