Citation

Samui P, Hariharan R. J. Advanc. Res. 2015; 6(4): 587-592.

Affiliation

Annai Mira College of Engineering and Technology, Department of Computer Science, Arapakam, Vellore 632517, India.

Copyright

(Copyright © 2015, Cairo University, Publisher Elsevier Publishing)

DOI

10.1016/j.jare.2014.02.002

PMID

26199749

PMCID

PMC4506965

Abstract

The evaluation of liquefaction potential of soil due to an earthquake is an important step in geosciences. This article examines the capability of Minimax Probability Machine (MPM) for the prediction of seismic liquefaction potential of soil based on the Cone Penetration Test (CPT) data. The dataset has been taken from Chi-Chi earthquake. MPM is developed based on the use of hyperplanes. It has been adopted as a classification tool. This article uses two models (MODEL I and MODEL II). MODEL I employs Cone Resistance (q c) and Cyclic Stress Ratio (CSR) as input variables. q c and Peak Ground Acceleration (PGA) have been taken as inputs for MODEL II. The developed MPM gives 100% accuracy. The results show that the developed MPM can predict liquefaction potential of soil based on q c and PGA.

Language: en