• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
  • Scopus
  • Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
  • Chinese S&T Journal Citation Reports
  • Chinese Science Citation Database
Volume 57 Issue 6
Dec.  2022
Turn off MathJax
Article Contents
YU Yongtang, ZHENG Jianguo. New Prediction Model for Post-Construction Settlement of Loess High Fill Site[J]. Journal of Southwest Jiaotong University, 2022, 57(6): 1268-1276, 1292. doi: 10.3969/j.issn.0258-2724.20200872
Citation: YU Yongtang, ZHENG Jianguo. New Prediction Model for Post-Construction Settlement of Loess High Fill Site[J]. Journal of Southwest Jiaotong University, 2022, 57(6): 1268-1276, 1292. doi: 10.3969/j.issn.0258-2724.20200872

New Prediction Model for Post-Construction Settlement of Loess High Fill Site

doi: 10.3969/j.issn.0258-2724.20200872
  • Received Date: 12 Jan 2021
  • Rev Recd Date: 01 Apr 2021
  • Available Online: 09 Oct 2022
  • Publish Date: 26 May 2021
  • The post-construction settlement prediction of loess high fill site is an important basis for determining the time sequence of construction and the spatial layout of ground engineering. In order to accurately predict the post-construction settlement of loess high fill site, two post-construction settlement predictive models, one is a convergent model and the other is a divergent one, were proposed based on the characteristics of settlement data and the evolution laws of settlement curves of two typical loess high fill sites. The basic properties of the models, the solution to the parameters of the models, and the applicability of the proposed models in predicting the post-construction settlement of typical loess high fill site were all presented in detail.The results show that the proposed models are suitable for post-construction settlement prediction of loess high fill site due to its smaller fitting error and prediction error. Moreover, it is found that the divergent model is more suitable to the grounds whose settlement curves have S-shape, the mean absolute percentage error (MAPE) is 4.6%, which is 78.7%−95.8% lower than the prediction error of the traditional prediction models, while the convergence model is more applicable to the grounds whose settlement curves have J-shape, the mean absolute percentage error (MAPE) is 1.9%, which is 68.3%−84.4% lower than the prediction error of the traditional prediction models. Due to their good adaptability, generality and stability, the proposed models can provide more choices and references for the prediction and evaluation of post-construction settlement of loess high fill site in the future.

     

  • loading
  • [1]
    宰金珉,梅国雄. 全过程的沉降量预测方法研究[J]. 岩土力学,2000,21(4): 322-325. doi: 10.3969/j.issn.1000-7598.2000.04.003

    ZAI Jinmin, MEI Guoxiong. Forecast method of settlement during the complete process of construction and operation[J]. Rock and Soil Mechanics, 2000, 21(4): 322-325. doi: 10.3969/j.issn.1000-7598.2000.04.003
    [2]
    潘林有,谢新宇. 用曲线拟合的方法预测软土地基沉降[J]. 岩土力学,2004,25(7): 1053-1058. doi: 10.3969/j.issn.1000-7598.2004.07.010

    PAN Linyou, XIE Xinyu. Observational settlement prediction by curve fitting methods[J]. Rock and Soil Mechanics, 2004, 25(7): 1053-1058. doi: 10.3969/j.issn.1000-7598.2004.07.010
    [3]
    刘射洪,袁聚云,赵昕. 地基沉降预测模型研究综述[J]. 工业建筑,2014,44(增1): 738-741,681. doi: 10.13204/j.gyjz2014.s1.008

    LIU Shehong, YUAN Juyun, ZHAO Xin. Review of settlement prediction models of foundation[J]. Industrial Construction, 2014, 44(S1): 738-741,681. doi: 10.13204/j.gyjz2014.s1.008
    [4]
    杨涛,李国维,杨伟清. 基于双曲线法的分级填筑路堤沉降预测[J]. 岩土力学,2004,25(10): 1551-1554. doi: 10.3969/j.issn.1000-7598.2004.10.008

    YANG Tao, LI Guowei, YANG Weiqing. Settlement prediction of stage constructed embankment on soft ground based on the hyperbolic method[J]. Rock and Soil Mechanics, 2004, 25(10): 1551-1554. doi: 10.3969/j.issn.1000-7598.2004.10.008
    [5]
    陈善雄,王星运,许锡昌,等. 路基沉降预测的三点修正指数曲线法[J]. 岩土力学,2011,32(11): 3355-3360. doi: 10.3969/j.issn.1000-7598.2011.11.025

    CHEN Shanxiong, WANG Xingyun, XU Xichang, et al. Three-point modified exponential curve method for predicting subgrade settlements[J]. Rock and Soil Mechanics, 2011, 32(11): 3355-3360. doi: 10.3969/j.issn.1000-7598.2011.11.025
    [6]
    刘宏,李攀峰,张倬元. 九寨黄龙机场高填方地基工后沉降预测[J]. 岩土工程学报,2005,27(1): 90-93. doi: 10.3321/j.issn:1000-4548.2005.01.015

    LIU Hong, LI Panfeng, ZHANG Zhuoyuan. Prediction of the post-construction settlement of the high embankment of Jiuzhai—Huanglong Airport[J]. Chinese Journal of Geotechnical Engineering, 2005, 27(1): 90-93. doi: 10.3321/j.issn:1000-4548.2005.01.015
    [7]
    王海英,常肖,阮祺,等. 建筑垃圾填埋路基沉降预测的三点-星野法[J]. 铁道科学与工程学报,2017,14(3): 473-479. doi: 10.3969/j.issn.1672-7029.2017.03.006

    WANG Haiying, CHANG Xiao, RUAN Qi, et al. Subsidence prediction of subgrade filled by construction waste based on three point-hoshino algorithm[J]. Journal of Railway Science and Engineering, 2017, 14(3): 473-479. doi: 10.3969/j.issn.1672-7029.2017.03.006
    [8]
    王伟,卢廷浩. 基于Weibull曲线的软基沉降预测模型分析[J]. 岩土力学,2007,28(4): 803-806,811. doi: 10.3969/j.issn.1000-7598.2007.04.033

    WANG Wei, LU Tinghao. Study on prediction model of soft foundation settlement based on Weibull curve[J]. Rock and Soil Mechanics, 2007, 28(4): 803-806,811. doi: 10.3969/j.issn.1000-7598.2007.04.033
    [9]
    徐洪钟,施斌,李雪红. 全过程沉降量预测的Logistic生长模型及其适用性研究[J]. 岩土力学,2005,26(3): 387-391. doi: 10.3969/j.issn.1000-7598.2005.03.010

    XU Hongzhong, SHI Bin, LI Xuehong. Logistic growth model and its applicability for predicting settlement during the whole process[J]. Rock and Soil Mechanics, 2005, 26(3): 387-391. doi: 10.3969/j.issn.1000-7598.2005.03.010
    [10]
    余闯,刘松玉. 路堤沉降预测的Gompertz模型应用研究[J]. 岩土力学,2005,26(1): 82-86. doi: 10.3969/j.issn.1000-7598.2005.01.017

    YU Chuang, LIU Songyu. A Study on prediction of embankment settlement with the gompertz model[J]. Rock and Soil Mechanics, 2005, 26(1): 82-86. doi: 10.3969/j.issn.1000-7598.2005.01.017
    [11]
    邓英尔,谢和平. 全过程沉降预测的新模型与方法[J]. 岩土力学,2005,26(1): 1-4. doi: 10.3969/j.issn.1000-7598.2005.01.001

    DENG Yinger, XIE Heping. New model and method of forecasting settlement during complete process of construction and operation[J]. Rock and Soil Mechanics, 2005, 26(1): 1-4. doi: 10.3969/j.issn.1000-7598.2005.01.001
    [12]
    罗战友,龚晓南,杨晓军. 全过程沉降量的灰色verhulst预测方法[J]. 水利学报,2003,34(3): 29-32,36. doi: 10.3321/j.issn:0559-9350.2003.03.006

    LUO Zhanyou, GONG Xiaonan, YANG Xiaojun. Grey Verhulst prediction of settlement during the whole process of construction and operation[J]. Journal of Hydraulic Engineering, 2003, 34(3): 29-32,36. doi: 10.3321/j.issn:0559-9350.2003.03.006
    [13]
    钟才根,丁文其,王茂和,等. 神经网络模型在高速公路软基沉降预测中的应用[J]. 中国公路学报,2003,16(2): 31-34. doi: 10.3321/j.issn:1001-7372.2003.02.008

    ZHONG Caigen, DING Wenqi, WANG Maohe, et al. Application of artificial neural network in settlement prediction of highway soft foundation[J]. China Journal of Highway and Transport, 2003, 16(2): 31-34. doi: 10.3321/j.issn:1001-7372.2003.02.008
    [14]
    葛苗苗,李宁,张炜,等. 黄土高填方沉降规律分析及工后沉降反演预测[J]. 岩石力学与工程学报,2017,36(3): 745-753. doi: 10.13722/j.cnki.jrme.2016.0014

    GE Miaomiao, LI Ning, ZHANG Wei, et al. Settlement behavior and inverse prediction of post-construction settlement of high filled loess embankment[J]. Chinese Journal of Rock Mechanics and Engineering, 2017, 36(3): 745-753. doi: 10.13722/j.cnki.jrme.2016.0014
    [15]
    魏桦, 许文学, 周立新, 等. 某迁建工程试验段变形与沉降监测报告[R]. 北京: 空军工程设计研究局, 2012.
    [16]
    杜伟飞,郑建国,刘争宏,等. 黄土高填方地基沉降规律及排气条件影响[J]. 岩土力学,2019,40(1): 325-331. doi: 10.16285/j.rsm.2017.1079

    DU Weifei, ZHENG Jianguo, LIU Zhenghong, et al. Settlement behavior of high loess-filled foundation and impact from exhaust conditions[J]. Rock and Soil Mechanics, 2019, 40(1): 325-331. doi: 10.16285/j.rsm.2017.1079
    [17]
    赵明华,刘煜,曹文贵. 软土路基沉降变权重组合S型曲线预测方法研究[J]. 岩土力学,2005,26(9): 1443-1447. doi: 10.3969/j.issn.1000-7598.2005.09.019

    ZHAO Minghua, LIU Yu, CAO Wengui. Study on variable-weight combination forecasting method of S-type curves for soft clay embankment settlement[J]. Rock and Soil Mechanics, 2005, 26(9): 1443-1447. doi: 10.3969/j.issn.1000-7598.2005.09.019
    [18]
    张鸿燕,耿征. Levenberg-Marquardt算法的一种新解释[J]. 计算机工程与应用,2009,45(19): 5-8. doi: 10.3778/j.issn.1002-8331.2009.19.002

    ZHANG Hongyan, GENG Zheng. Novel interpretation for Levenberg-Marquardt algorithm[J]. Computer Engineering and Applications, 2009, 45(19): 5-8. doi: 10.3778/j.issn.1002-8331.2009.19.002
    [19]
    LEWIS C. Industrial and business forecasting methods: a practical guide to exponential smoothing and curve fitting[M]. London: Butterworths, 1982.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(8)  / Tables(1)

    Article views(310) PDF downloads(42) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return