Deformation forecast of deep foundation pit based on grey forecast model

被引:0
|
作者
Xu, Ting-Hua [1 ]
Chen, Jing-Ru [1 ]
Tian, Ll [1 ]
机构
[1] Qingdao Technol Univ, Sch Civil Engn, Qingdao 266033, Peoples R China
关键词
deformation forecast; unequal interval residual; deep foundation pit; grey forecast;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Grey forecast technology used for horizontal and vertical displacement of deep foundation pit edge, ambient buildings and pipes can meet the demands of small amount data in the beginning or lack of experience. Theories of forecast technology are perfect and the accuracy of forecast is satisfied. It can forecast safety of foundation pit and guide engineering construction. It is an efficient method for displacement analysis and forecast of deep foundation pit support. Forecast accuracy has been verified by practical projects. The forecast value is situated in the forecast cover region.. Moreover, the value is partial to safety, so as to meet the demands of forecast.
引用
收藏
页码:2531 / 2536
页数:6
相关论文
共 50 条
  • [21] Artificial nerve network forecast of ground settlement about foundation pit
    Zhang, Shu-Guang
    Zhang, Xiang-Dong
    Li, Yong-Jing
    Liaoning Gongcheng Jishu Daxue Xuebao (Ziran Kexue Ban)/Journal of Liaoning Technical University (Natural Science Edition), 2001, 20 (06):
  • [22] Novel grey forecast model and its application
    丁洪发
    舒双焰
    段献忠
    Journal of Harbin Institute of Technology, 2003, (03) : 315 - 320
  • [23] Improvement of grey model to forecast the transformer faults
    College of Energy and Power Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
    Huazhong Ligong Daxue Xuebao, 2008, 5 (100-102): : 100 - 102
  • [24] Road Traffic Accident Forecast Based on Optimized Grey Verhulst Model
    Liu, Subing
    Wu, Congwei
    PROCEEDINGS OF THE 2016 JOINT INTERNATIONAL INFORMATION TECHNOLOGY, MECHANICAL AND ELECTRONIC ENGINEERING, 2016, 59 : 546 - 551
  • [25] Application Research of the Grey Forecast in the Logistics Demand Forecast
    Jiang Hua
    Liang Qi-hong
    PROCEEDINGS OF THE FIRST INTERNATIONAL WORKSHOP ON EDUCATION TECHNOLOGY AND COMPUTER SCIENCE, VOL I, 2009, : 361 - +
  • [26] A Novel Approach to Forecast Electricity Consumption Based on Fractional Grey Model
    Wang, Hongwei
    Yan, Ruoxuan
    Wang, Qianyu
    Zhang, Huajian
    PROCEEDINGS OF THE 39TH CHINESE CONTROL CONFERENCE, 2020, : 2424 - 2428
  • [27] Geo-hazard Forecast Based on Grey Model in Mine Area
    Ding Feng
    Wang Dongdong
    Hao Wenxin
    PROCEEDINGS OF THE 2015 INTERNATIONAL FORUM ON ENERGY, ENVIRONMENT SCIENCE AND MATERIALS, 2015, 40 : 795 - 798
  • [28] Study of Railway Passenger Volume Forecast based on Grey Forecasting Model
    Niu, Ziren
    Sun, Quanxin
    2016 INTERNATIONAL CONFERENCE ON LOGISTICS, INFORMATICS AND SERVICE SCIENCES (LISS' 2016), 2016,
  • [29] Sensor Fault Diagnosis Study of UUV Based on The Grey Forecast Model
    Juan, Li
    Zhang, Xiaoyou
    Chen, Xinghua
    Mohammed, Naeim Farouk
    2015 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION, 2015, : 1750 - 1754
  • [30] Forecast of Freight Traffic of Waterways Based on Grey Model of Residual Correction
    Xiang, Sijie
    Zhang, Wenjun
    Yin, Jianchuan
    PROCEEDINGS OF THE 32ND 2020 CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2020), 2020, : 3585 - 3590