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Author: search.filters.author.Kumar, P.Subject: search.filters.subject.Soil

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    Strength Analysis of Geotextile-Reinforced Subgrade
    (Springer Science and Business Media Deutschland GmbH, 2024) Kumar, P.; Gaur, K.; Trivedi, A.
    Subgrade’s poor strength is a common challenge in many road projects. Several materials are used as admixtures to reinforce the subgrade. However, geotextiles are one of the best solutions for reinforcement in the soil. In this work, an investigation of the strengths of subgrades reinforced with jute textile and polypropylene (PP) geotextile is the topic of a comparative study. On both reinforced and non-reinforced soil, tests called the direct shear test (DST) and California bearing ratio (CBR) are conducted. This geotextile’s positioning demonstrates how crucial it is to the subgrade’s overall strength. According to the test results, jute textile (natural fibre) increased the soil sample’s shear strength. Contrarily, the soil’s shear strength decreased when it was reinforced with polypropylene geotextile (synthetic fibre). Selecting D/2, D/3, and D/4 as the placement depths from the top surface for the geotextile, a single, double, and triple layer of geotextile is used to reinforce soil samples for the CBR test. The double-layer reinforcement at depths D/3 and D/4 shows optimum strength. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2024.
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    Study on soil moisture retention function for the indian forested hillslope soils
    (Taiwan Geotechnical Society 43, Sec. 4, Keelong Rd, Taipei 106,, 2013) Prasanna, P.; Varija, K.; Kumar, P.
    Pedotransfer functions (PTFs) are one of the widely used tools to predict the soil water retention curves (SWRC). The objective of this study was to develop and validate point and parametric PTF models based on nonlinear regression technique using the different set of predictors such as particle-size distribution, bulk density, porosity and organic matter content. Soil samples were collected from different elevations at different depths in forested hillslope area of Pavanje river basin that lies in coastal area of Karnataka, India. The point PTF models estimated retention points at 33, 100, 300, 500, 1000, and 1500 kPa pressure heads and the parametric PTF models estimated the van Genuchten and Brooks-Corey retention parameters. The data were evaluated with the root mean square error (RMSE), mean error (ME), and coefficient of determination (R2) between the measured and predicted water contents. The prediction of soil water retention curve using PTFs by point estimation method for the sampled soils was relatively successful (best case R2 = 0.862). Further, a critical comparative analysis on the performances of point and parametric methods was done. It can be suggested to use the developed PTFs for the prediction of soil water retention curve for the loamy sand and sandy loam textured soils in this forest area of the coastal region in south western portion of India.