UMC Model for Prediction of Seismic Liquefaction of Sand Soil

Based on optimized forecast method of unascertained classifying, a unascertained measurement classifying model (UMC) to seismic liquefaction of sand soil is established, the principles of the unascertained measurement classifying theory are applied to predicting sand liquefaction with eight factors listed as follows: seismic intensity, epicenter distance, mean diameter, coefficient of non-uniformity, underground water depth, and depth, blow number of standard penetration test, ratio of shearing stress. Through computing practical examples and assessing the model, the model is manifested to be scientific and effective with much more accurate results than the Norm method and seed simplified method. The results show that the method is an efficient one in predicting sand liquefaction problems.