Grey Interval Model of the Temperature Rise Prediction of Massive Concrete in Construction Process

被引:2
|
作者
Dong Chengxiu [1 ]
机构
[1] Shandong Yingcai Univ, Architectural Engn Sch, Jinan 250104, Shandong, Peoples R China
关键词
Massive concrete; Grey theory; Interval grey number; Temperature rise; Prediction;
D O I
10.4028/www.scientific.net/AMM.357-360.631
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
During the construction process of massive concrete, the construction must forecast and control the temperature forming of massive concrete in order to avoid the temperature crack owing to the thermal stress caused by the concrete heat. The discussion on the concept of grey system interval and grey number predication applies to the temperature rise prediction of massive concrete in the construction process. The previous temperature rise data is divided into the "white part" and "grey part" based on real numbers. And the interval grey number forecast computing models are established, so we can finish the temperature rise prediction during construction process. The forecasting results of case show that, this model has fast convergence and remarkable precision. Then, it is possible to realize the accurate temperature rise prediction of massive concrete.
引用
收藏
页码:631 / 634
页数:4
相关论文
共 50 条
  • [41] A best practice process model for hybrid concrete construction
    Glass, Jacqueline
    CONSTRUCTION MANAGEMENT AND ECONOMICS, 2005, 23 (02) : 169 - 184
  • [42] Interval grey number sequence prediction by using non-homogenous exponential discrete grey forecasting model
    Xie, Naiming
    Liu, Sifeng
    JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS, 2015, 26 (01) : 96 - 102
  • [43] Interval grey number sequence prediction by using non-homogenous exponential discrete grey forecasting model
    Naiming Xie
    Sifeng Liu
    Journal of Systems Engineering and Electronics, 2015, 26 (01) : 96 - 102
  • [44] Influence of solar radiation on temperature of mass concrete in the process of construction
    Zhu, Bofang
    Shuili Fadian Xuebao/Journal of Hydroelectric Engineering, 1999, (03): : 35 - 41
  • [45] Prediction of carbon emissions in China's construction industry using an improved grey prediction model
    Liu, Jia-Bao
    Yuan, Xi-Yu
    Lee, Chien-Chiang
    SCIENCE OF THE TOTAL ENVIRONMENT, 2024, 938
  • [46] Development of a portable device and compensation method for the prediction of the adiabatic temperature rise of concrete
    An, Gyeong-Hee
    Park, Jae-Min
    Cha, Sang-Lyul
    Kim, Jin-Keun
    CONSTRUCTION AND BUILDING MATERIALS, 2016, 102 : 640 - 647
  • [47] Construction and application of grey prediction model based on dynamic partial accumulation generation
    Zhou W.
    Jiang H.
    Dang Y.
    Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice, 2023, 43 (11): : 3353 - 3364
  • [48] Numerical temperature prediction model for asphalt concrete pavement
    Jia, Lu
    Sun, Lijun
    Huang, Likui
    Qin, Jian
    Tongji Daxue Xuebao/Journal of Tongji University, 2007, 35 (08): : 1039 - 1043
  • [49] A Grey System Theory-Based Default Prediction Model for Construction Firms
    Tserng, Hui Ping
    Thanh Long Ngo
    Chen, Po Cheng
    Le Quyen Tran
    COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING, 2015, 30 (02) : 120 - 134
  • [50] Prediction of construction waste in representative cities of North and South based on Grey Model
    Wang, Peng Fei
    Liu, Yang
    Gao, Si Yan
    Luo, Shaohua
    Jia, JingJue
    Yang, Heng
    Liu, XiaoYu
    2020 INTERNATIONAL CONFERENCE ON GREEN DEVELOPMENT AND ENVIRONMENTAL SCIENCE AND TECHNOLOGY, 2020, 615