Assessment of Soil Liquefaction Potential in Kamra, Pakistan

Decision Tree Approach for Soil Liquefaction Assessment

In the current study, the performances of some decision tree (DT) techniques are evaluated for postearthquake soil liquefaction assessment. A database containing 620 records of seismic parameters and soil properties is used in this study. Three decision tree techniques are used here in two different ways, considering statistical and engineering points of view, to develop decision rules. The DT ...

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...

Shear-Wave Velocity–Based Probabilistic and Deterministic Assessment of Seismic Soil Liquefaction Potential

Shear-wave velocity (Vs) offers a means to determine the seismic resistance of soil to liquefaction by a fundamental soil property. This paper presents the results of an 11-year international project to gather new Vs site data and develop probabilistic correlations for seismic soil liquefaction occurrence. Toward that objective, shear-wave velocity test sites were identified, and measurements m...

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...

Simplified model for evaluating soil liquefaction potential using CPTU