Volume 5 Issue 1
Mar.  2012
Turn off MathJax
Article Contents
Shuai-jie GUO, Fu-hai ZHANG, Bao-tian WANG, Chao ZHANG. 2012: Settlement prediction model of slurry suspension based on sedimentation rate attenuation. Water Science and Engineering, 5(1): 79-92. doi: 10.3882/j.issn.1674-2370.2012.01.008
Citation: Shuai-jie GUO, Fu-hai ZHANG, Bao-tian WANG, Chao ZHANG. 2012: Settlement prediction model of slurry suspension based on sedimentation rate attenuation. Water Science and Engineering, 5(1): 79-92. doi: 10.3882/j.issn.1674-2370.2012.01.008

Settlement prediction model of slurry suspension based on sedimentation rate attenuation

doi: 10.3882/j.issn.1674-2370.2012.01.008
Funds:  the Research Funds for the Central Universities (Grant No. 2009B13514) and the Doctoral Fund of the Ministry of Education of China (Grant No. 20100094110002)
More Information
  • Corresponding author: Shuai-jie GUO
  • Received Date: 2011-02-14
  • Rev Recd Date: 2012-01-10
  • This paper introduces a slurry suspension settlement prediction model for cohesive sediment in a still water environment. With no sediment input and a still water environment condition, control forces between settling particles are significantly different in the process of sedimentation rate attenuation, and the settlement process includes the free sedimentation stage, the log-linear attenuation stage, and the stable consolidation stage according to sedimentation rate attenuation. Settlement equations for sedimentation height and time were established based on sedimentation rate attenuation properties of different sedimentation stages. Finally, a slurry suspension settlement prediction model based on slurry parameters was set up with a foundation being that the model parameters were determined by the basic parameters of slurry. The results of the settlement prediction model show good agreement with those of the settlement column experiment and reflect the main characteristics of cohesive sediment. The model can be applied to the prediction of cohesive soil settlement in still water environments.


  • loading
  • Fox, P. J. 2007. Coupled large strain consolidation and solute transport, II: Model verification and simulation results. Journal of Geotechnical and Geoenvironmental Engineering, 133(1), 16-29. [doi:10.1061/(ASCE) 1090-0241(2007)133:1(16)]
    Han, Q. W. 1997. Deposited soil dry bulk density distribution and application. Journal of Sediment Research, (2), 10-16. (in Chinese)
    Li, F. G., and Yang, T. S. 2006. Review for the research of interface settling velocity in concentrated suspension. Journal of Hydroelectric Engineering, 25(4), 57-61. (in Chinese)
    Li, F. G., Xiong, X. Z., Zhao, M., and Yang, T. S. 2006. Cohesive sediment floc structure observation and fractal dimension estimation. Yellow River, 28(2), 31-32. (in Chinese)
    Lin, J. Z., Zhang, S. L., and Olson, J. A. 2007. Computing orientation distribution and rheology of turbulent fiber suspensions flowing through a contraction. Engineering Computations, 24(1), 52-76. [doi:10.1108/ 02644400710718574]
    Liu, Y., and Wang, Q. 2006. Laboratory tests for the sedimentation of dredger fill in the Lianyungang area, Jiangsu, China. Geological Bulletin of China, 25(6), 762-765. (in Chinese)
    Ma, K., and Pierre, A. C. 1998. Microstructure of kaolinite sediments made with unaged FeCl3. Colloids and Surfaces, 145(1-3), 175-184. [doi: 10.1016/S0927-7757(98)00685-2]
    Merckelbach, L. M. 2000. Consolidation and Strength Evolution of Soft Mud Layers. Ph. D. Dissertation. Rotterdam: Delft University of Technology.
    Monte, J. L., and Krizek, R. J. 1976. One-dimensional mathematical model for large-strain consolidation. Geotechnique, 26(3), 495-510. [doi: 10.1680/geot.1976.26.3.495]
    Pierre, A. C., and Ma, K. 1999. DLVO theory and clay aggregate architectures formed with A1C13. Journal of the European Ceramic Society, 19(4), 1615-1622. [doi: 10.1016/S0955-2219(98)00264-7]
    Shi, Z. 2004. Approximate estimations of settling velocities of fine suspended mud flocs at the north passage of the Changjiang Estuary. Marine Science Bulletin, 23(5), 51-58. (in Chinese)
    Tsuneo, O., Junichi, O., and Akira, T. 2009. Convectional, sedimentation, and drying dissipative structures of black tea in the presence and absence of cream. Colloid and Polymer Science, 287(6), 645-657. [doi: 10.1007/s00396-009-2021-4]
    Winterwerp, J. C. 1998. A simple model for turbulence induced flocculation of cohesive sediment. Journal of Hydraulic Research, 36(3), 309-326.
    Xie, K. H., and Leo, C. J. 2004. Analytical solutions of one-dimensional large strain consolidation of saturated and homogeneous clays. Computers and Geotechnics, 31(4), 301-314. [doi:10.1016/j.compgeo. 2004.02.006]
    Yang, S. A., and Zhang, Y. L. 1997. Engineering characteristics of blow-filled soft clay in Shenzhen area. Geological Science and Technology Information, 16(1), 85-89. (in Chinese)
    Yang, T. S., Xiong, X. Z., Zhan, X. L., and Yang, M. Q. 2003a. On flocculation of cohesive fine sediment. Hydro-Science and Engineering, (2), 15-67. (in Chinese)
    Yang, T. S., Zhao, M., and Xiong, X. Z. 2003b. Fractal dimensions and settling velocities of cohesive sediment flocs. Proceedings of the International Conference on Estuaries and Coasts (ICEC), 445-452. Hangzhou: IRTCS Congress.
    Zhang, W., and Xiong, Z. A. 1991. An experimental study on settling velocity for plastic materials in still water. Journal of Yangtze River Scientific Research Institute, 8(4), 10-17. (in Chinese)
    Zhu, Z. F., Yang, T. S., and Zhao, M. 2009. Preliminary study on the critical criterion for distinguishing floc sedimentation and gel-like network sedimentation. Journal of Sediment Research, (1), 20-25. (in Chinese)
  • 加载中


    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

    Article Metrics

    Article views (2684) PDF downloads(4754) Cited by()
    Proportional views


    DownLoad:  Full-Size Img  PowerPoint