Prediction of embankment behavior of regulating reservoir with foundation improved by vacuum consolidation method

被引:16
|
作者
Shibata, Toshifumi [1 ]
Murakami, Akira [2 ]
Fujii, Makoto [3 ]
机构
[1] Okayama Univ, Grad Sch Environm & Life Sci, Kita Ku, Okayama 7008530, Japan
[2] Kyoto Univ, Grad Sch Agr, Sakyo Ku, Kyoto 6068502, Japan
[3] NTC Consultants Co Ltd, Naka Ku, Nagoya, Aichi 4600012, Japan
关键词
Vacuum consolidation method; Particle filter; Inverse analysis; INVERSE ANALYSIS; BACK-ANALYSIS; VERTICAL DRAINS; SOIL; SETTLEMENT; PARAMETERS; IDENTIFICATION; PRESSURE; STRATEGY; MODEL;
D O I
10.1016/j.sandf.2014.09.008
中图分类号
P5 [地质学];
学科分类号
0709 ; 081803 ;
摘要
The present paper addresses the numerical prediction of the behavior of a ground and a reservoir dyke with a retaining wall at the site of a regulating reservoir whose soft soil foundation is improved by using both the usual embankment preloading and vacuum consolidation. To evaluate the settlement, the lateral deformation, and the dissipation of pore pressure during Vacuum preloading, a numerical analysis using an elasto-plastic FEM for soil water coupled problems, incorporating the SYS Cam-clay model, is carried out in two dimensions. However, a change in the soil parameters during the vacuum preloading leads to a less accurate computation. To account for the uncertainties in the input parameters of the constitutive model for the improved ground, an inverse analysis approach is adopted. The particle filter is used to identify the compression index of the clay layers and the coefficient of permeability of the organic soil layer based on the measured settlement at the bottom of the preloading embankment during the vacuum consolidation. The reservoir dyke with a retaining wall is constructed on an improved foundation after removing the preloading embankment, and an attempt is made to predict its performance after construction by an elasto-plastic FEM for soil water coupled problems using the identified parameters. (C) 2014 The Japanese Geotechnical Society. Production and hosting by Elsevier B.V. All rights reserved.
引用
收藏
页码:938 / 954
页数:17
相关论文
共 29 条
  • [21] Simulation and evaluation of improvement effects by vertical drains/vacuum consolidation on peat ground under embankment loading based on a macro-element method with water absorption and discharge functions
    Nguyen, Hong-Son
    Tashiro, Mutsumi
    Inagaki, Motohiro
    Yamada, Shotaro
    Noda, Toshihiro
    SOILS AND FOUNDATIONS, 2015, 55 (05) : 1044 - 1057
  • [22] Prediction method on deformation behavior of caisson-type seawalls covered with armored embankment on man-made islands during earthquakes
    Kanatani, M
    Kawai, T
    Tochigi, H
    SOILS AND FOUNDATIONS, 2001, 41 (06) : 79 - 96
  • [23] A Prediction Method for Surface Subsidence at Deep Mining Areas with Thin Bedrock and Thick Soil Layer Considering Consolidation Behavior
    Wang, Jiachen
    Wu, Shanxi
    Wang, Zhaohui
    Zhang, Shenyi
    Cheng, Boyuan
    Xie, Huashun
    NATURAL RESOURCES RESEARCH, 2024, 33 (06) : 2661 - 2684
  • [24] Improved Vacuum Preloading Method Combined with Sand Sandwich Structure for Consolidation of Dredged Clay-Slurry Fill and Original Marine Soft Clay
    Li, Mingdong
    Chen, Qingsheng
    Wen, Kejun
    Nimbalkar, Sanjay
    Dai, Renhui
    INTERNATIONAL JOURNAL OF GEOMECHANICS, 2021, 21 (10)
  • [25] A new oversampling method and improved radial basis function classifier for customer consumption behavior prediction
    Li, Yue
    Jia, Xiaoyun
    Wang, Ruili
    Qi, Jianfang
    Jin, Haibin
    Chu, Xiaoquan
    Mu, Weisong
    EXPERT SYSTEMS WITH APPLICATIONS, 2022, 199
  • [26] Prediction of lateral displacement of retaining structure of soft soil foundation pit based on improved modified mobilizable strength design method
    Xiao K.
    Zhang S.
    Ding Z.
    Fan X.
    Zhang X.
    Zhejiang Daxue Xuebao (Gongxue Ban)/Journal of Zhejiang University (Engineering Science), 2024, 58 (02): : 413 - 425
  • [27] Life prediction for a vacuum fluorescent display based on two improved models using the three-parameter Weibull right approximation method
    Zhang, Jianping
    Zhang, Xing
    Zong, Yu
    Pan, Yaofang
    Wu, Helen
    Tang, Jieshuo
    LUMINESCENCE, 2018, 33 (01) : 34 - 39
  • [28] Improved sensitivity based linear learning method for permeability prediction of carbonate reservoir using interval type-2 fuzzy logic system
    Olatunji, Sunday Olusanya
    Selamat, Ali
    Raheem, Abdul Azeez Abdul
    APPLIED SOFT COMPUTING, 2014, 14 : 144 - 155
  • [29] C-RBFNN: A user retweet behavior prediction method for hotspot topics based on improved RBF neural network
    Liu, Yanbing
    Zhao, Jinzhe
    Xiao, Yunpeng
    NEUROCOMPUTING, 2018, 275 : 733 - 746