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低松弛预应力钢绞线松弛试验数据线性回归模型
引用本文:蔡冬茜. 低松弛预应力钢绞线松弛试验数据线性回归模型[J]. 金属制品, 1996, 22(6): 31-36
作者姓名:蔡冬茜
作者单位:新华金属制品有限公司
摘    要:
用数理统计方法建立了低松弛钢绞线松弛试验数据的线性回归模型,用于推算1000h松弛值。根据计算结果.能够分析和判定试样是否满足规范要求,并能对松弛试验的有效性和回归结果可靠性进行评价。

关 键 词:低松弛预应力钢绞线,松弛试验数据,线性回归模型,预测值,置信区间

A Linear Regression Model of Relaxation Test Data for Low Relaxation PC Strand
Cai Dongqian. A Linear Regression Model of Relaxation Test Data for Low Relaxation PC Strand[J]. Steel Wire Products, 1996, 22(6): 31-36
Authors:Cai Dongqian
Abstract:
linear regression model of relaxation test data for low relaxation PC strand has been established with mathematical statistics method, to be used for calculating 1 000 hours relaxation forecast value. On the basis of calculating, you can analyse and ascertain whether the specimens comply with the requirements of specification, and even assess the validity of test and the reliability of regression results.
Keywords:ow relaxation PC strand  relaxation test data  linear regression model  forecast value  confidence interval
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