New Empirical Correlations For Compressibility Parameters. Of Alluvial Deposits

      Аннотация: In the selection and design of foundation system, it is important to determine the types and properties of the soil. In a detailed investigation, the conventional approach is to perform subsurface investigation to obtain for a sufficient number of soil samples which are then tested in the laboratory to obtain the necessary soil properties, including consolidation parameters. The basic index properties are water content, dry density, void ratio, consistency limits. Consolidation tests are expensive and time consuming. In order to obtain realistic values, special sampling and testing techniques and testing systems are required. In this study the laboratory test results and datasets containing index and consolidation parameters are used to conduct a statistical study to determine suitable correlations for estimating consolidation response of alluvial soil. This statistical analysis is carried out in order to obtain the most suitable and practically applicable relationships. New correlations are proposed for prediction of compression index and compression ratio using liquid limit, plasticity index, water content, void ratio and porosity for alluvial deposits of Surat city.

Ключевые слова: Consolidation, Artificial Neural Network, Empirical correlations, Statistical analysis, Compression index, Compression Ratio