ABSTRACT
Liquefaction-induced damages have garnered significant attention, prompting efforts to develop reliable assessment techniques. Soil variability complicates liquefaction assessment, often simplified by assuming homogeneous conditions, followed by deployment of deterministic approaches for evaluating liquefaction. This study highlights the impact of variability in soil properties and uncertainties associated with transformation models for Liquefaction Potential Index (LPI) evaluation without undergoing simplified assumptions. SPT borehole data have been utilized for acquiring LPI via three transformation models. Amid variability induced deviations attributed from the aforementioned uncertainties, Second Order Reliability Method (SORM) have been deployed to reliably ascertain the probability of liquefaction severity (P) followed by asserting the confidence of stochastic outcome i.e. reliability index (β). This comprehensive analysis provides detailed interpretation on variability-induced deviations, followed by adoption of an approach capable of accounting uncertainties in asserting reliable liquefaction severity index.
