›› 2009, Vol. 30 ›› Issue (7): 2049-2052.

• Fundamental Theroy and Experimental Research • Previous Articles     Next Articles

Discriminant analysis model for prediction of sand soil liquefaction during earthquake

YAN Ke-zhen1, LIU Neng-yuan1, XIA Tang-dai2   

  1. 1. College of Civil Engineering, Hunan University, Changsha 410082, China; 2. Institute of Geotchnical Engineering, Zhejiang University, Hangzhou 310027, China
  • Received:2008-10-30 Online:2009-07-10 Published:2011-03-10

Abstract:

Based on statistics theory, Mahalanobis distance discriminant analysis model for prediction of sand soil liquefaction is established, including the main six factors that have great influence on sand soil liquefaction as follows: seismic intensity, epicenter distance, groundwater table, sand depth, blow number of standard penetration test, duration. Linear discriminant function is obtained through training a large set of sand soil liquefaction samples. Then the model is applied to the practical engineering. The results show that the prediction model of diatance dicriminant analysis has excellent performance,high prediction accuracy, and might be referred to as an effective technique for prediction of sand soil liquefaction.

Key words: sand soil liquefaction, discrimination of liquefaction, distance discriminant analysis

CLC Number: 

  • TU 435
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