Abstract
Expansive soils are problematic by exhibitingl shrink‐swell behaviors and high plasticity under different moisture conditions, which is communal in salient areas of Ethiopia. This article aims to conduct a contemplated investigation and statistical analysis‐based prediction for swelling potentials of soils using the index properties. This is used to define the properties of soils by investigation and to minimize the rigorous futuristic investigation by providing the prediction model of soils of the Holte town. Hence, thirty soil samples were collected from fifteen test pits with a depth of 1.5 m to 3.0 m from various locations. Investigations were conducted in the field and laboratory. Results revealed that the in situ moisture content, dry density, and bulk unit weight ranges were found, 31.21–40.93%, 1.20–1.30 g/cm3, and 1.60–1.73 g/cm3, respectively. The soil grain results presented that the study area is dominantly fine‐grained soil properties (i.e., silt and clay). Liquid limit, plastic limit, plasticity index, and liquidity index ranged from 58 to 77%, 26–33%, 28–45%, and 0.00–0.35%, respectively, which assured that the soils in this town have 87% high plastic clay (CH). In addition, the swelling potential, swelling pressure, free swell, and activity investigations revealed that the soils in this town are highly plastic with a high degree of expansiveness. This was found that the swelling potential is the main measuring property of expansive soils, which was predicted by the statistical tool SPSS using numerous index properties. After conducting numerous statistical models, the best swelling potential was found Sp = 6.876γd + 0.178PI − 10.664, which is maintained by 90% of the points found within the regression line having a mean confidence level of 99.99%. In conclusion, the obtained model was validated and was found as an optimal measuring tool of expansiveness through the swelling potential of soils specifically in Holte town.
Highlights
Foundation materials that perform volume change with moisture within and highly plastic soils are mentioned as expansive soils. ese soils are problematic soil that can induce problems on structural and nonstructural parts of building through shrinkage and swelling by moisture variations [1]. is can cause mainly lightly loaded structure built on expansive soils to move differentially, crack, and shows damage due to rough movement caused by swelling and shrinking of the soils
As the depth of the soil layer increases, the moisture content increases while the dry density decreases. is indicates that the swelling deformation of studied soil is nonlinear with the depth of soil layer and apparent difference between an upper and lower layer of the study area, i.e., Holte town [30]
E study area is characterized by the specific gravity varying from 2.66 to 2.75 g/cm3, which was described as finegrained soil category. e dominance of clay soils or higher fractions of clay content revealed the high plasticity behavior of soils
Summary
Foundation materials that perform volume change with moisture within and highly plastic soils are mentioned as expansive soils. ese soils are problematic soil that can induce problems on structural and nonstructural parts of building through shrinkage and swelling by moisture variations [1]. is can cause mainly lightly loaded structure built on expansive soils to move differentially, crack, and shows damage due to rough movement caused by swelling and shrinking of the soils. This research is mainly aimed to provide SPSS version 20 statistical prediction of expansive soil behaviours using index properties of Holte town in southern Ethiopia in order to minimize the effort, time, and cost of the investigation. Is tool is used for salient types of analysis such as regression models for required variables from independent parameters It is a powerful, integrated family of statistical modeling products that assists with the entire analytical process, from planning to deployment. Is tool is important and effective to correlate rigorous and time-consuming geotechnical soil parameters from tested index properties Using such tools, predictive analyses are important for geotechnical engineering activities in order to determine soil properties [12,13,14,15]
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