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