期刊文献+

基于多元自适应回归样条的高维岩土工程问题分析 被引量:8

Analysis of multi-dimensional geotechnical engineering problems based on multivariate adaptive regression splines
下载PDF
导出
摘要 为解决岩土工程中多元变量间的非线性相关问题,采用一种非参数回归算法--多变量自适应回归样条建立对目标参数的预测模型。该算法基于大量可靠的岩土监测数据,运用简单线性样条函数的组合对输入、输出参数进行相关性拟合,生成显性表达式,同时得到各输入参数的相对重要性。通过桩的可贯入性、地下洞室稳定性分析2个实例,对该方法进行评估。2个实例中测试集的决定性系数R^2分别为0.921和0.986,最重要的输入参数分别是桩材料的弹性模量和围岩质量,表明该方法可较精确地拟合多元输入参数与输出参数间的相关性,可用于未知响应的预测。 A nonparametric regression algorithm,called the multivariate adaptive regression splines (MARS),is adopted to establish a simple and interpretable model to approximate the nonlinear interactions between inputs and outputs.Based on well-documented case data,MARS is capable of producing explicit expressions using the combination of simple linear spline functions,as well as obtaining the relative importance of input parameters.The reliability and accuracy of MARS were validated via the geotechnical applications of pile drivability assessment and stability evaluation of underground caverns.The coefficients of determination for the testing set in the two examples are 0.921 and 0.986,respectively,indicating that MARS can effectively fit the correlation between input parameters and target outputs.As for the parametric relative importance,the elasticity modulus of pile and quality of surrounding rock are recognized as the two most influential factors.MARS method can accurately relate the target responses to nonlinear and multivariate inputs;thus,it is useful in the practical engineering construction.
作者 仉文岗 洪利 黎泳钦 ZHANG Wengang;HONG Li;LI Yongqin(College of Civil Engineering,Chongqing University,Chongqing 400045,China;National Joint Engineering Research Centre for Prevention and Control of Environmental Geological Hazards in the TGR Area,Chongqing University,Chongqing 400045,China)
出处 《河海大学学报(自然科学版)》 CAS CSCD 北大核心 2019年第4期359-365,共7页 Journal of Hohai University(Natural Sciences)
基金 国家自然科学基金青年科学基金(51608071) 重庆市留学回国人员创业创新支持计划(cx2017123) 重庆市基础研究与前沿探索项目(cstc2018jcyjAX0632)
关键词 多元自适应回归样条 基函数 贯入桩 可贯入性 地下洞室稳定性 参数相对重要性 multivariate adaptive regression splines basis function driven pile drivability stability of underground caverns parametric relative importance
  • 相关文献

参考文献3

二级参考文献36

共引文献55

同被引文献72

引证文献8

二级引证文献41

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部