Dynamic soil properties and liquefaction potential of northeast Indian soil for non-linear effective stress analysis

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...

Simplified model for evaluating soil liquefaction potential using CPTU

Determination of the linear and non-linear relationships between soil erodibility factor and effective parameters on it in a mountainous watershed with severe soil erosion

Soil erodibility factor is a criterion of soil particle resistance to detachment, transport, and effects of erosivity factors (rain drop, runoff, and wind) during the soil loss processes. In this study, non-linear support vector machines (SVMs) method was used for investigating the effects of some topography, soil physical and mechanical properties on soil erodibility in a part of Northern Karo...

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...