Abstract:
Soft soils encounter a serious problem for the stability of the superstructure,
and this has been a crucial issue since the beginning of the history. Among
various ground improvement options, the Deep Mixing Method is one of the
promising methods that can alter the soil matrix at close spacing and resemble
pile-like responses that can provide sufficient reactions to the superimposed
loads. Cement is generally mixed with problematic soils and has proven to be
effective in many applications; however, environmental concerns have become
substantial in cement-treated ground improvement options. Alternately, waste
materials, mostly Fly Ash or Slag, have been considered as replacements of
cement for possible applications. Fly Ash is being produced in high amount
globally as an industrial byproduct; its disposal is a big concern and, hence,
attracted concern of the geotechnical experts for its utilization especially in
ground improvement. To date, fly ash has been mostly considered for shallow
ground improvement, while its justification in deep mixing is seldom found in
technical writings. The available applications mostly focus on treating granular
materials. The present study, as such, aims to explore the possibility of utilizing
fly ash in the deep mixing method. To enhance the bonding, a chemical
additive, commonly known as an alkali activator, has been added to the fly ash
to form a geopolymer that has been added with the parent soils at different fly
ash proportions ranging from 10% to 25% of the dry weight of soils. In addition
to the variation of geopolymer, three different moisture levels of soils, at the
liquid limit and on both sides of the liquid limit, have been considered in this
research. A number of samples of each considered case has been prepared at
three different curing ages: 14 days, 28 days, and 56 days, in order to find the
vi
effectiveness of the fly ash-based geopolymer treated deep mixing method in
ground improvement.
The Unconfined Compressive Strength has been found to increase with the
increase of fly ash content in all cases. The increase of strength has been found
to depend on the optimum dosage of both alkali activator and precursor binder
(fly ash). Moisture sensitivity has been seen as distinctive, and geo
polymerization of soil in the wet phase has no portrayed considerable strength
development. In this study, the activator-to-precursor binder ratio of 0.5 with
fly ash contents of 20-25% has shown the highest strength gain in
approximately all scenarios. Based on the discrete datasets, predictive models,
keeping the aim of estimating preliminary compressive strength, have been
developed considering the non-linearity and influence of different properties.
Several prediction models (both equation based and Machine Learning models)
have been developed, and model performances have been compared with the
experimental data. The highest accuracy has been observed from Exponential
Gaussian Process Regression Model with an R2 value of 0.97 which indicates
that the model fits excellently with an ability to explain 97% of the
experimental data. Furthermore, Mineralogical bond formation of stabilized soil
has been observed from X-ray diffraction (XRD) pattern and Scanning Electron
Microscope (SEM) image. Densification and void reduction due to geo
polymerization process in soil-geopolymer mix as well as the surface texture
having no cracks in micro level have been observed from SEM image. XRD
pattern analysis provided the information about the compounds present in the
mix by which susceptible elements can be identified. Overall, this research
provides a base for the use of waste-based geopolymer in deep mixing methods
in alluvial deposition.