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Utilization of Classification Techniques for the Determination of Liquefaction Susceptibility of Soils
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Author(s): J. Jagan (VIT University, India), Prabhakar Gundlapalli (Nuclear Power Corporation of India Limited, India)and Pijush Samui (National Institute of Technology Patna, India)
Copyright: 2016
Pages: 37
Source title:
Handbook of Research on Advanced Hybrid Intelligent Techniques and Applications
Source Author(s)/Editor(s): Siddhartha Bhattacharyya (RCC Institute of Information Technology, India), Pinaki Banerjee (Goldstone Infratech Limited, India), Dipankar Majumdar (RCC Institute of Information Technology, India)and Paramartha Dutta (Visva-Bharati University, India)
DOI: 10.4018/978-1-4666-9474-3.ch005
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Abstract
The determination of liquefaction susceptibility of soil is a paramount project in geotechnical earthquake engineering. This chapter adopts Support Vector Machine (SVM), Relevance Vector Machine (RVM) and Least Square Support Vector Machine (LSSVM) for determination of liquefaction susceptibility based on Cone Penetration Test (CPT) from Chi-Chi earthquake. Input variables of SVM, RVM and LSSVM are Cone Resistance (qc) and Peak Ground Acceleration (amax/g). SVM, RVM and LSSVM have been used as classification tools. The developed SVM, RVM and LSSVM give equations for determination of liquefaction susceptibility of soil. The comparison between the developed models has been carried out. The results show that SVM, RVM and LSSVM are the robust models for determination of liquefaction susceptibility of soil.
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