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Volume 36 Issue zk2
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GUO Jian, ZHA Lü-ying, PANG You-chao, SHEN Shuang-shuang, XIA Peng. Prediction for ground settlement of deep excavations based on wavelet analysis[J]. Chinese Journal of Geotechnical Engineering, 2014, 36(zk2): 343-347. DOI: 10.11779/CJGE2014S2060
Citation: GUO Jian, ZHA Lü-ying, PANG You-chao, SHEN Shuang-shuang, XIA Peng. Prediction for ground settlement of deep excavations based on wavelet analysis[J]. Chinese Journal of Geotechnical Engineering, 2014, 36(zk2): 343-347. DOI: 10.11779/CJGE2014S2060
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Prediction for ground settlement of deep excavations based on wavelet analysis

  • 1. School of Civil Engineering and Architecture, Wuhan Polytechnic University, Wuhan 430023, China;
    2.The Third Engineering Scientific Research Institute of the Headquarters of the General Staff, Luoyang 471023, China

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  • Received Date: July 27, 2014
  • Published Date: July 27, 2014
    Graphical Abstract
    • Abstract
  • Deep excavation will cause ground settlement inevitably. The measured data of ground settlement are usually disturbed by construction and surrounding enviroment, and the validation is greatly affected because of the noise in the settlement data. Based on the large amount of data collected from deep excavations, a new model combining the wavelet analysis with the radial basis function (RBF) neural network is proposed to predict ground settlement. The wavelet analysis is used to denoise effectively the measured data, and the settlement curve close to the practical situation can be obtained and taken as the characteristic vector of the RBF neural input layer. A prediction model for the wavelet network (W-RBF) is formed to predict ground settlement based on rolling prediction. The results of case study show that the prediction performance of W-RBF model is significantly better than that by using raw data with noises. It has high prediction accuracy and is fit for modern information construction.
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    • References (14)
  • [1]
    李 淑, 张顶立, 房 倩, 等. 北京地铁车站深基坑地表变形特性研究[J]. 岩石力学与工程学报, 2012, 31(1): 189-198. (LI Shu, ZHANG Ding-li, FANG Qian, et al. Research on characteristics of ground surface deformation during deep excavation in Beijing subway[J]. Chinese Journal of Rook Mechanics and Engineering, 2012, 31(1): 189-198. (in Chinese))
    [2]
    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. (DENG Ying-er, XIE He-ping. New model and method of forecasting settlement during complete process of construction and operation[J]. Rock and Soil Mechanics, 2005, 26(1): 1-4. (in Chinese))
    [3]
    PECK R B. Deep excavations and tunnelling in soft ground [C]// Proceedings of International Conference on Soil Mechanics and Foundation Engineering. Mexico, 1969: 225-290.
    [4]
    SCHUSTER M, TUNG G, KUNG C, et a1. Simplified model for evaluating damage potential of buildings adjacent to a braced excavation[J]. Journal of Geotechnical and Geoenvironmental Engineering, 2009, 135(12): 1823-1835.
    [5]
    AYE Z, KARKI D, SCHULZ C. Ground movement prediction and building damage risk-assessment for the deep excavations and tunneling works in Bangkok subsoil[C]// International Symposium on Underground Excavation and Tunneling. Bangkok, 2006: 281-297.
    [6]
    刘沐宇, 冯夏庭. 基于神经网络范例推理的边坡稳定性评价方法[J]. 岩土力学, 2005, 26(2): 193-197. (LIU Mu-yu, FENG Xia-ting. Evaluation of slope stability based on case based reasoning integrated with neural network[J]. Rock and Soil Mechanics, 2005, 26(2): 193-197. (in Chinese))
    [7]
    杨兴明, 张培仁, 陈锐锋. B样条小波基在信号去噪中应用与性能分析[J]. 现代雷达, 2006, 28(7): 62-66. (YANG Xing-ming, ZHANG Pei-ren, CHEN Rui-feng. Construction of B-spline wavelet bases and performance analysis in signal-denoising[J]. Modern Radar, 2006, 28(7): 62-66. (in Chinese))
    [8]
    MALLAT S G. A theory for multi-resolution signal decomposition: the wavelet representation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1989, 11(7): 674-693.
    [9]
    GUO J, DING L Y, LUO H B, et al. Wavelet prediction method for ground deformation induced by tunneling[J]. Tunnelling and Underground Space Technology. 2014, 41(3): 137-151.
    [10]
    DING L Y, MA L, LUO H B, et al. Wavelet Analysis for tunneling-induced ground settlement based on a stochastic model[J]. Tunnelling and Underground Space Technology, 2011, 26(5): 619-628.
    [11]
    冯夏庭. 智能岩石力学导论[M]．北京：科学出版社,2000. (FENG Xia-ting. Introduction to intelligent rock mechanics[M]. Beijing: Science Press, 2000. (in Chinese))
    [12]
    杨成祥, 冯夏庭, 刘红亮, 等. 非线性位移时间序列分析模型的进化识别[J]. 东北大学学报(自然科学版), 2004, 5(5): 497-500. (YANG Cheng-xiang, FENG Xia-ting, LIU Hong-liang, et a1. Evolutionary identification of analysis model for nonlinear displacement time series[J]. Journal of Northeastern University, 2004, 5(5): 497-500. (in Chinese))
    [13]
    MOODY J, DARKEN C. Fast learning in networks of locally tuned processing[J]. Neural Computation, 1989, 2(1): 281-289.
    [14]
    刘鑫朝, 颜宏文. 一种改进的粒子群优化RBF网络学习算法[J]. 计算机技术与发展, 2006(2): 185-187. (LIU Xin-chao, YAN Hong-wen. A RBF neural network learning algorithm based on improved PSO[J]. Computer Technology and Development, 2006(2): 185-187. (in Chinese))
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