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October 2018 Vol. 6 No.10
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Merit Research Journal of Agricultural Science and Soil
Science (ISSN: 2350-2274) Vol. 6(10) pp. 134-144,
October, 2018
Copyright © 2018 Merit Research Journals |
Original Research Article
Sandy Soil Compression Test Data to compute Compression Index |
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Andrea Formato and
Aurelio Liguori |
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1Prof.,
Department of Agricultural Science. University of Naples
“Federico II”. Via Università 100, 80045, Portici, Naples,
Italy.
2Prof., Univeristy “G. Fortunato”. Viale Raffaele
Delcogliano, 12, 82100 Benevento, Italy.E-mail: aurelio.liguori@fastwebnet.it
*Corresponding Author’s E-mail: formato@unina.it
Tel./fax: +39812539150
Accepted October 01, 2018 |
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Abstract |
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Through the hydrostatic compacting tests, it has been possible
to evaluate the compression index Cc, that is the soil
compaction index. Generally, the parameter Cc is affected by the
soil granulometry composition and moisture content. In this
paper, they have been examined 24 soil typologies representative
of almost all types of sandy soils, to determine the compression
index (Cc) denoting the soil compaction capability, and
alterations in the Cc value when soil granulometry composition
and moisture change. The soil samples were submitted to a
hydrostatic compression test (HCT). Pressure-void index (p-e)
diagrams were obtained, from which the compression index (Cc)
was determined using the Gompertz model. The modulus of the
slope of the virgin compression curves – the compression index
(Cc) – were estimated as the modulus of the slope at the first
inflection point of the Gompertz curve. The Gompertz model
parameters were evaluated using a nonlinear regression method.
The model fit the raw data closely, with mean R2 values greater
than 0.99. The results reveal how the Cc index changes when the
granulometry and humidity values change. Further, the
experimental data 3D diagrams provide a better description of
the mechanical behaviour of a family set of soils.
Keywords: Gompertz model, hydrostatic soil compression
test, sandy soil, soil compression index
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