基于多元线性回归的高速公路路基沉降量预测研究  

RESEARCH ON MULTIPLE LINEAR REGRESSION-BASED EXPRESS HIGHWAY SUBGRADE SETTLEMENT ESTIMATION

作　　者：李强 王春晓 LI Qiang;WANG Chun-xiao(China Highway Engineering Consulting Corporations,100089,Beijing,China)

机构地区：[1]中国公路工程咨询集团有限公司,北京100089

出　　处：《建筑技术》2023年第7期881-883,共3页Architecture Technology

摘　　要：公路路基沉降是公路建筑工程中的重要问题,而路基沉降与相关因素也存在着线性、非线性的关系。因此,对基于多元线性回归的高速公路路基沉降量进行预测研究。首先,通过计算公路路基沉降的粒子群数值,对路基粒子群沉降数值进行归一化处理,创建多元线性回归的路基沉降量预测模型,实现多元线性回归的路基沉降量预测四部分的分析;再对多元线性回归高速公路路基沉降量的预测方法进行设计。通过对这种方法进行测试,验证与其相关的科学性、合理性,以此提升高速公路路基沉降量预测的相关精准度。Highway subgrade settlement is an important problem in highway building construction and it has linear and non-linear relationship with related factors.Therefore,this paper carried out multiple linear regression-based estimation research for express highway subgrade settlement.Firstly,highway subgrade settlement particle swarm value,which was normalized to create multiple linear regression of highway subgrade settlement estimation model and to realize multiple linear regression analysis on four estimation parts of subgrade settlement;secondly,the estimation method for multiple linear regression of express highway subgrade settlement was designed.This method was tested to verify its scientific and reasonable characteristics and to improve the related accuracy of express highway subgrade settlement estimation.

关 键 词：多元线性 公路路基 路基沉降量 沉降量预测 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]