Regression model for predicting productivity of RC slab concreting process

被引:4
|
作者
Matejevic, Biljana [1 ]
Zlatanovic, Milorad [1 ]
机构
[1] Univ Nis, Fac Civil Engn & Architecture, Nish, Serbia
来源
GRADEVINAR | 2017年 / 69卷 / 07期
关键词
model; productivity; concreting; multiple linear regression; affecting factors; NEURAL-NETWORKS; DELIVERY;
D O I
10.14256/JCE.1538.2016
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This paper provides a model that will ensure effective management of concreting process already at the planning stage, by predicting productivity to reduce costs and shorten the project completion time. Eighty-one RC slab concreting processes were monitored and registered on eight building construction sites. The factors that may affect productivity were identified and a multiple linear regression method was used to develop models for predicting productivity and estimating duration of the slab concreting process.
引用
收藏
页码:561 / 572
页数:12
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