Abstract
Soil liquefaction is one of the most complicated phenomena to assess in geotechnical earthquake engineering. The procedures that have been developed to determine the liquefaction potential of sandy soil deposits can be categorized into three main groups: stress-based, strain-based, and energy-based procedures. The main advantage of the energy-based approach over the other two methods is the fact that it considers the effects of strain and stress concurrently unlike the stress-based method or strain-based method. Several liquefaction evaluation procedures have been developed, relating the capacity energy to initial soil parameters such as the relative density, initial effective confining pressure, fine contents, and soil textural properties. Analyses have been carried out on a total of 405 previously published tests using back-propagation neural networks, to assess the capacity energy required to trigger liquefaction in sand and silty sands. The modeling accuracy, model interpretability, and procedures to perform parameter with relative importance are presented. Charts potentially useful for preliminary assessment of soil liquefaction are also proposed.
Published Version
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