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:: Volume 7, Issue 2 (3-2014) ::
2014, 7(2): 1869-1900 Back to browse issues page
Estimation of the drained shear strength parameters of fine grained soil of southern Tehran using nonlinear regression model
A Ghorbani *1, F Kalantari, M Zohori
1- , ghorbani@guilan.ac.ir
Abstract:   (8636 Views)
Determining the precise shear strength parameters of the fine grained soils is always a difficult task. In order to conduct the shear strength tests and determine the mechanical parameters of the soil, achieving an untreated high quality sample is a problem with a high degree of importance. Therefore, during the recent decades many researchers have attempted to provide relations between strength parameters and soil physical characteristics in a specific structure and so to provide the possibility of estimating the strength parameters based on these characteristics. The aim of this research is to estimate the shear strength parameters of a wide region of fine grained alluvial soil located in southern Tehran, Iran. In this regard, the geotechnical data including physical and shear strength parameters of 294 boreholes were firstly collected from the site. Then, the obtained data were statistically and independently analyzed. Based on the results of analyzes, the soil geotechnical parameters were presented for various depths with an acceptable level of reliability. Moreover, they were considered as a basis for providing a nonlinear regression model to estimate the soil shear strength parameters and based on the index physical characteristics of the fine grained soil (water content and plasticity index). The developed model is capable to predict the soil drained shear strength parameters and also other similar soil properties with a very good accuracy
Keywords: Fine grained alluvium, Drained shear strength, Statistical analysis, Nonlinear regression model
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Type of Study: s |
Accepted: 2016/10/5 | Published: 2016/10/5
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Ghorbani A, Kalantari F, Zohori M. Estimation of the drained shear strength parameters of fine grained soil of southern Tehran using nonlinear regression model. Journal title 2014; 7 (2) :1869-1900
URL: http://jeg.khu.ac.ir/article-1-421-en.html

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Volume 7, Issue 2 (3-2014) Back to browse issues page
نشریه زمین شناسی مهندسی Journal of Engineering Geology
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