Standard Penetration Tests and Soil Liquefaction Potential Evaluation

Evaluation of Liquefaction Potential of Soil Using Genetic Programming

Liquefaction of soil is one of the major causes for the significant damages to the buildings, lifeline systems and harbor facilities caused by the earthquakes. At present artificial intelligence techniques such as artificial neural network (ANN) and support vector machine (SVM) based models are found to be more efficient compared to statistical methods. The present study discusses about the eva...

Liquefaction Potential Evaluation of Alluvial Soil by Neuro-Fuzzy Technique

This paper presents prediction of liquefaction potential of soils by neuro-fuzzy models evaluated using Idriss and Boulanger method. In order to address the collective knowledge built up in conventional liquefaction method, an alternative Takagi-Sugeno-Kang reliant neuro-fuzzy model has been developed. Neuro-fuzzy is one of the artificial intelligence approaches that can be classified by machin...

Evaluation of Soil Liquefaction Potential by Sensitivity Analysis, Reliability and Data validation

In this study, it is attempted to analyze sensitivity and reliability in order to evaluate the liquefaction potential in soil layers in Tabriz. 62 boreholes that had possible conditions for liquefaction were selected. Seismic mapping was simulated using finite fault method and then the effect of soil layers on PGA was estimated. In continue, the liquefaction potential index was estimated and th...

Soil Classification Through Penetration Tests

The Newcastle Dilatometer (NDMT) developed by Akbar in 2001 has a distinctive feature that it loads the soil with a rigid piston in place of flexible membrane as in the Marchetti Dilatometer (MDMT). Based on the previous research works carried out using the NDMT in normally consolidated soils, it has been found that the material and dilatometer indices from the NDMT data can be used to classify...

Simplified model for evaluating soil liquefaction potential using CPTU