摘要
为了预测锂渣聚丙烯纤维混凝土与HRB500钢筋黏结强度,根据劈裂破坏时黏结强度影响因素的非线性特性,建立了锂渣取代率、聚丙烯纤维掺量、相对保护层厚度和锚固长度等因素与黏结强度间的多元非线性模型。运用MATLAB软件的非线性回归命令求解模型中的各个待定系数,得到两个预测模型,并对黏结强度进行了预测。研究结果表明:预测模型1的相对误差平均值为1.39%,标准差为0.030 9;预测模型2的相对误差平均值为1.40%,标准差为0.031 0。两个模型的预测精度均较高,离散程度小,对实际工程有一定指导作用。
In order to predict the bond strength between lithium slag-polypropylene fiber concrete and HRB500 steel,the multivariate nonlinear model of bond strength and influencing factors was established based on the nonlinear characteristics of bond strength influencing factors during splitting failure. The influencing factors included replacement rate of lithium slag,dosage of polypropylene fiber,relative thickness of protection layer and anchorage length. The undetermined coefficients of the model were solved by using the nonlinear regression order in MATLAB to get two prediction models,and the bond strength was predicted. The results show that the relative average error of the first prediction model is 1. 39%,and the standard deviation is 0. 030 9,while the relative average error of the second prediction model is 1. 40%,and the standard deviation is 0. 031 0. The prediction accuracy of the two models is high,and the discrete degree is small. The two models have certain guiding role for practical engineering.
出处
《河南科技大学学报（自然科学版）》
CAS
北大核心
2017年第3期64-68,共5页
Journal of Henan University of Science And Technology:Natural Science
基金
国家自然科学基金项目(51568064)
新疆维吾尔自治区自然科学基金项目(2014211A006)
关键词
多元非线性回归
锂渣
聚丙烯纤维
HRB500钢筋
预测模型
黏结强度
multivariate nonlinear regression
lithium slag
polypropylene fiber
HRB500 steel
prediction model
bond strength
