Statistical Analysis on Shear Strength Parameter from Index Properties of Fine-grained Soils

Shear strength is the essential engineering property of soil required to analyze and design foundations, retaining walls, bridges, embankment, and related infrastructure. The laboratory equipment and field instruments are not sufficient in developing countries to obtain soil engineering properties, especially strength properties. Thus, Geotechnical engineers usually endeavor to develop statistical models that best fit a particular area and soil type, especially for analysis and design purposes. In this research, a Statistical Analysis on the Shear Strength parameter from the Index Properties of Fine-Grained Soils was studied. For predicting the undrained shear strength parameter, single linear regression (SLR) and multiple linear regressions (MLR) analyses were developed. To develop the intended statistical models for a study, SAS JMP Pro 13, SPSS v22, and Microsoft Excel-2013 software were introduced. The results of a study indicated that undrained shear strength(Cu) was significantly correlated with liquid limit(LL), plastic limit(PL), bulk density (ρbulk), dry density(ρdry), natural moisture content(NMC), and plasticity index(PI). While it was not significantly correlated with a specific gravity (Gs) and liquidity index (LI) of study area soil. Finally, a strong Model of Cu with a coefficient of determination (R2 = 0.806), good significance level, and less Std. error was obtained from multiple linear regression (MLR) analysis. The developed model can figure undrained shear strength parameter and wide application in the construction industry to minimize the cost, effort, and time for laboratory tests of shear strength parameter of a study area.

Statistical Analysis on Shear Strength Parameter from Index Properties of Fine-grained Soils

Shear strength is the essential engineering property of soil required to analyze and design foundations, retaining walls, bridges, embankment, and related infrastructure. The laboratory equipment and field instruments are not sufficient in developing countries to obtain soil engineering properties, especially strength properties. Thus, Geotechnical engineers usually endeavor to develop statistical models that best fit a particular area and soil type, especially for analysis and design purposes. In this research, a Statistical Analysis on the Shear Strength parameter from the Index Properties of Fine-Grained Soils was studied. For predicting the undrained shear strength parameter, single linear regression (SLR) and multiple linear regressions (MLR) analyses were developed. To develop the intended statistical models for a study, SAS JMP Pro 13, SPSS v22, and Microsoft Excel-2013 software were introduced. The results of a study indicated that undrained shear strength(Cu) was significantly correlated with liquid limit(LL), plastic limit(PL), bulk density (ρbulk), dry density(ρdry), natural moisture content(NMC), and plasticity index(PI). While it was not significantly correlated with a specific gravity (Gs) and liquidity index (LI) of study area soil. Finally, a strong Model of Cu with a coefficient of determination (R2 = 0.806), good significance level, and less Std. error was obtained from multiple linear regression (MLR) analysis. The developed model can figure undrained shear strength parameter and wide application in the construction industry to minimize the cost, effort, and time for laboratory tests of shear strength parameter of a study area.

Alternatif Fondasi Tiang Pancang Pada Gedung Pengendalian Penduduk dan Keluarga Berencana (P2KB) Palu

The foundation design of Pengendalian Penduduk dan Keluarga Berencana is located on Jl. R.A. Kartini No. 100, Palu City, Central Sulawesi. In field testing using 2-point of (CPT), the value of hard-ground support at 8 – 9 m below the surface and the loads of building structures of 2 (two) floor buildings that work on the foundations are quite large, this is a consideration in choosing the type of used foundation. The point of this design is to obtain the dimensions of the pile foundation and calculate the bearing capacity of the foundation permit and settlement that meet the safety requirements. The calculation for bearing capacity of the foundation is calculated using (CPT) data and soil shear strength parameter data (c and tetha). Single pile is calculation by using the Semi-Empirical method and using Brooms Method for calculating lateral force on the driven piles. The dimensions of the foundation are planned based on the load (Qv) acting on the entire foundation. Calculation of bearing capacity of a single pile with a penetration depth of 8,20 m and varying dimensions are used in the planning. Based on the calculation of the bearing capacity of a single pile using (CPT) data on the load that works on the foundation, was obtained 25 cm and 30 cm diameter of pile. while the calculation uses ground shear strength parameter data (c and tetha) obtained pile diameter of 30 cm and diameter of 35 cm. Based on the calculation of the bearing capacity of a single pile, the dimensions of the foundation and the settlement in permits has reached the safety requirements.

Slope Stability Analysis of Kattery Watershed in Nilgiris District

The slope stability analysis is always under severe threats in many parts of nilgiris district, causing disruption, loss of human life and economy. The stability of slopes depends on the soil shear strength parameters such as Cohesion, Angle of internal friction, Unit weight of soil and Slope geometry. The stability of a slope is measured by its factor of safety using geometric and shear strength parameter based on infinite slopes. In this research, investigation was carried out at 5 locations in Kattery watershed in nilgiris district. The factor of safety of the slope determined by Mohr Coulomb theory based on shear strength parameter calculated from direct shear test which is a conventional procedure for this study. Artificial. Neural Network (ANN) Model is used to predict the factor of safety. The input parameters for the (ANN) are chosen as Cohesion, Angle of internal friction, Density and Slope angle and the factor of safety as output. The results obtained in ANN method were compared with that of conventional method and observed a good agreement between these two methods.