This paper presents the results of a class C numerical blind prediction based on a large-scale shaking table test which was recently conducted at UCSD on a shallow foundation located on top of liquefiable soils. The organized blind prediction was focused on predicting the liquefaction-induced permanent settlements at multiple locations at free-field as well as on the foundation and comparing them with those measured during the test. Eight teams submitted predictions which were carried out using a wide range of software platforms, constitutive soil models, and element types. The accuracy of blind prediction submissions was evaluated in terms of root-mean-square error (RMSE) and the team with the lowest RMSE was ranked 1st and declared as the winner of the blind prediction. This paper discusses the observed bias trends of the predicted settlements in terms of the extent of underestimation and/or overestimation.
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