Prediction of Compression Index of the Soil of Al-Nasiriya City Using Simple Linear Regression Model
- PDF / 1,585,759 Bytes
- 12 Pages / 547.087 x 737.008 pts Page_size
- 6 Downloads / 196 Views
(0123456789().,-volV) (0123456789().,-volV)
ORIGINAL PAPER
Prediction of Compression Index of the Soil of Al-Nasiriya City Using Simple Linear Regression Model Esraa A. Mandhour
Received: 18 September 2019 / Accepted: 2 May 2020 Springer Nature Switzerland AG 2020
Abstract The engineering design and selection of appropriate sites for engineering projects require many physical and engineering tests; some of these tests are very expensive and take a long time consuming to complete. Compression index (Cc) is used to predict the compressibility of soil and estimate how much settlement which is occurred due to loads of different engineering structures. In this study, soil investigations reports were used for the city of AlNasiriya which were carried out by the national construction laboratories. Physical properties results showed that Al-Nasiriya city soil has a low to high compressibility and it is classified as inorganic clays of medium to high plasticity. The simple linear regression analysis was applied for estimating compression index indirectly through using some properties of soil indices such as atterberg limits. The correlation coefficient of the linear regression model indicated the presence of reasonable relationships between the compression index and the parameters proposed in this paper. The obtained results showed that the best model is capable of predicting the amount of compression index and with higher accuracy is based on liquidity limits in regression analyses. There is also a reasonable agreement between measured and predicted compression index values in addition to presence a Esraa A. Mandhour (&) Department of Applied Geology, College of Science, University of Thi-Qar, Nasiriya, Iraq e-mail: [email protected]
small difference between calculated values using statistical properties for atterberg limits. The empirical equations obtained from simple linear regression model can be reliably used in engineering designs for study area with high confidence. Keywords Al-Nasiriya city Atterberg limits Compression index Simple linear regression
1 Introduction In the field of civil engineering, the physical and engineering properties of the soil are used extensively in all calculations which are approved in engineering designs. The design of the foundations and their behavior and settlement depends on the impact the stresses applied by the buildings on their soil [1–3]. The physical and mechanical properties of the soil can be determined by several conventional methods such as atterberg limits and consolidation tests. These methods are characterized by high accuracy, but at the same time require time and effort in addition to cumbersome. At present, in geotechnical engineering many empirical relationships and correlations between physical and engineering properties have been widely used by several researchers. Each of these proposed correlations has been applied on a specific
123
Geotech Geol Eng
Fig. 1 Location of the study area
soils, results were acceptable within specific ranges
Data Loading...
