Performance Assessment of Stabilized Soil with Fly Ash- Nano Material Mixes
سال انتشار: 1396
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 79
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شناسه ملی سند علمی:
JR_JGTTE-3-2_001
تاریخ نمایه سازی: 14 آذر 1402
چکیده مقاله:
Pavement infrastructure projects require large amount of soil for
construction. Very often massive amount of the available soil is
found to be weak, highly plastic and expansive in nature, which is
unsuitable for constructions. Several studies in the past reveal
favorable results for application of problematic soils with additives
like lime, cement, fly ash, etc. Since, enormous quantity of fly ash
is available from proximity of thermal power stations; the
advantage of fly ash can be idealized to stabilize the weak soils.
This research paper reports the adequacy of fly ash as an additive
in improving the geotechnical properties of medium expansive silty
soil in conjunction with nano material. Silty sand was treated with
fly ash ranging from ۱۰%, ۲۰%, ۳۰%, ۴۰% and ۵۰% by dry weight
of soil. Each proportion was further treated with nano solution with
four different dilution ratios of (۱:۱۰۰), (۱:۲۲۵), (۱:۴۰۰) and (۱:۶۰۰)
by volume. The CBR properties were found to be highly improved
on addition of fly ash and nano material to soil. Similarly, plasticity
and hydraulic conductivity properties of the blends were observed
to be considerably decreased with the addition of fly ash and nano
material. The blends with ۳۰% fly ash and nano solution of (۱:۱۰۰)
yielded excellent results. Thus, the soil modified with fly ash and
nano material in this research provides a feasible engineered
solution to improve the quality and endurance of pavement
framework practices and also offers an indubitable contribution
towards the problem of fly ash relinquishment and utility.
کلیدواژه ها:
نویسندگان
Prasnna P.Kulkarni
Indian Institute of Technology Bombay, Department of Civil Engineering, Powai, Mumbai, India
Jnanendra N.Mandal
Professor, Indian Institute of Technology Bombay, Department of Civil Engineering, Powai, Mumbai, India