Evaluation of the relationships between the laboratory and in situ test results carried out on clayey soils with multiple regression analysis: Van (Turkey) reverse fault area

• Published in: Arabian journal of geosciences 2022, Vol.15 (10), Article 950
• Main Authors: Özvan, Elif E., Çetin, Hasan, Özvan, Ali, Akkaya, İsmail
• Format: Article
• Language: English
• Subjects: Boreholes; Clay; Clay soils; Deformation; Dependent variables; Earth and Environmental Science; Earth science; Earth Sciences; Field tests; Geological faults; Hanging walls; In situ tests; Independent variables; Laboratories; Laboratory tests; Liquid limits; Mathematical analysis; Mechanical properties; Modulus of deformation; Moisture content; Moisture effects; Multiple regression analysis; Original Paper; Penetration tests; Physical properties; Plasticity; Plasticity index; Pressuremeter tests; Regression analysis; Soil; Soil moisture; Soil properties; Tests; Thrust faults; Water content
• ISSN: 1866-7511; 1866-7538
• DOI: 10.1007/s12517-022-10236-w

Many in situ and laboratory tests are being performed to determine the engineering properties of soils. Several relationships can be established between in situ tests and laboratory tests to ensure that both achieve similar results. In this study, in situ standard penetration test and Menard pressuremeter tests were performed on the clayey samples that are in high and low plasticity soil class taken from 6 boreholes reaching to the hanging walls and footwalls of the thrust fault. Disturbed and undisturbed samples were collected in the field, and their physical and mechanical properties were determined in the laboratory. Corrected SPT (SPT-N 60 ), Menard deformation modulus ( E M ), and net limit pressure ( P L ) values were obtained as part of in situ tests performed. These values were then compared with physical properties like the liquid limit, plasticity index, natural moisture content ( w ), and mechanical properties like the pre-consolidation pressure ( σ pc ) and cohesion ( c ) that were determined through laboratory tests, and linear and non-linear multiple regression analyses were performed on them. The analyses revealed multiple regression equations between dependent variable E M and independent variables SPT-N 60 , w , c , and σ pc were obtained with a high degree of determination coefficient. The results also indicate that these multiple regression equations obtained thusly so provided more accurate results compared to simple regression correlations.