Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/138174
Title: 1-G MODELLING OF WET DEEP MIXING WITH FIBRES
Authors: TEO HUI JUEN
Keywords: Deep mixing method, fibre, cement-treated clay, coefficient of variation, autocorrelation, scale of fluctuation
Issue Date: 3-Aug-2017
Source: TEO HUI JUEN (2017-08-03). 1-G MODELLING OF WET DEEP MIXING WITH FIBRES. ScholarBank@NUS Repository.
Abstract: The Deep Mixing Method is a well-established in situ admixture stabilization method, but the improved soil has been found to be highly variable. Improvements in the uniformity of the mixing process can thus lead to potential savings. The addition of fibres improves strength and ductility of the treated soil. However, deep mixing with fibre reinforcement is a relatively new field of research and the statistical variability of the improved soil is still unknown at present. Using 1-g modelling with appropriate scaling to minimise scale distortion effects, this study presents details of the Cone Penetration Test, fibre content test, and the Digital Image Processing method to determine strength, fibre and cement distribution respectively within the column. Autocorrelation analysis was carried out on the 1-g test results, which show that mixing uniformity is affected by the blade rotation number and that the fibre tends to disassociate from the cement slurry during mixing.
URI: http://scholarbank.nus.edu.sg/handle/10635/138174
Appears in Collections:Ph.D Theses (Open)

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