摘要
选取原地基为基岩的沉降数据进行分析,将常用的填土高度、时间拟合函数进行组合,以验证沉降预测函数的可靠性。通过各组合函数的对比分析,高度函数采用幂函数、时间函数采用指数函数时的拟合度最高,组合拟合函数最大复杂相关系数R^2为0.785,但不能满足函数拟合度要求。同时,对单因子函数拟合值进行对比分析,分别得到不同高度拟合函数的拟合度(幂函数>指数函数>多项式函数>线性函数)、不同时间拟合函数的拟合度(指数函数>双曲线函数>泊松曲线函数>Gomportz曲线函数)。根据沉降监测数据,提出了一种考虑高填方沉降的新预测模型,新预测模型的沉降变化过程与填土高度有关,其最大复杂相关系数R^2为0.959。
In order to verify the reliability of settlement predictive model,analysis of settlement data is conducted,where the original foundation is bedrock.By comparing the results of combination functions,we can get the best result when the height function is power function and the time function is exponential function.The maximum complex correlation coefficient R^2 is 0.785,which can not satisfy the degree requirement of fitting function.This paper also analyzes the fitting value of single factor and finds the fitting degree of height fitting function(power function 〉 exponential function 〉 polynomial function 〉 linear function),and the fitting degree of time fitting function(exponential function 〉 hyperbolic function 〉 poisson curve function 〉 gomportz curve function).Finally,according to the settlement monitoring data,the thesis proposes a new settlement predictive model of high filling,based on collaborative effects of height and time.The process of the new settlement predictive model is related to the height of filling.The maximum complex correlation coefficient R^2 of new settlement predictive model is 0.959.
出处
《桂林理工大学学报》
CAS
北大核心
2017年第3期495-500,共6页
Journal of Guilin University of Technology
基金
上海现代设计集团科研基金项目(14-1类-0051-基
15-1类-0024-基)
关键词
沉降预测
组合函数
复杂相关系数
拟合度
settlement prediction
combining function
complex correlation coefficient
fitting degree