Water Science and Engineering 2012, 5(1) 79-92 DOI:   10.3882/j.issn.1674-2370.2012.01.008  ISSN: 1674-2370 CN: 32-1785/TV

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cohesive sediment
sedimentation rate attenuation
slurry suspension
settlement prediction model
settlement column experiment
Shuai-jie GUO
Fu-hai ZHANG
Bao-tian WANG
Article by Shuai-jie GUO
Article by Fu-hai ZHANG
Article by Bao-tian WANG
Article by Chao ZHANG

Settlement prediction model of slurry suspension based on sedimentation rate attenuation

Shuai-jie GUO*1, 2, Fu-hai ZHANG1, 2, Bao-tian WANG1, 2, Chao ZHANG3

1. Key Laboratory of Ministry of Education for Geomechanics and Embankment Engineering,  Hohai University, Nanjing 210098, P. R. China
2. Institute of Geotechnical Engineering, Hohai University, Nanjing 210098, P. R. China
3. Bureau of Hydrology, Changjiang Water Resources Commission, Wuhan 430012, P. R. China


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.

Keywords cohesive sediment   sedimentation rate attenuation   slurry suspension   settlement prediction model   settlement column experiment  
Received 2011-02-14 Revised 2012-01-10 Online: 2012-03-27 
DOI: 10.3882/j.issn.1674-2370.2012.01.008

the Research Funds for the Central Universities (Grant No. 2009B13514) and the Doctoral Fund of the Ministry of Education of China (Grant No. 20100094110002)

Corresponding Authors: Shuai-jie GUO
Email: ggssjj@hhu.edu.cn
About author:


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