Approaches for Estimating Liquefaction Potential of Soils

In this paper, assessment of liquefaction of soils by various approaches have been reviewed and presented in chronological order. The study focuses on procedural requirements and assessment for conventional and computational methods. Simplified method given by Seed, Tokimatsu-Yoshimi (T-Y) and Idriss & Boulanger methods of liquefaction assessmenthave been analyzed. Computational methods like artificial neural network (ANN) and neuro-fuzzy technique (NF) is also discussed as capable in liquefaction assessment using database either from SPT or CPT results. Feed forward network with back propagation learningalgorithm for ANN and TSK reliant NF has been evaluated. Conventional methods with extended application using concept of correction factors were induced in the analysis. Taking on familiarity from past literatures all methods were critically reviewed and measures are established.