http://www.iaeme.com/IJCIET/index.asp 373 editor@iaeme.com International Journal of Civil Engineering and Technology (IJCIET) Volume 7, Issue 1, Jan-Feb 2016, pp. 373-415, Article ID: IJCIET_07_01_030 Available online at http://www.iaeme.com/IJCIET/issues.asp?JType=IJCIET&VType=7&IType=1 Journal Impact Factor (2016): 9.7820 (Calculated by GISI) www.jifactor.com ISSN Print: 0976-6308 and ISSN Online: 0976-6316 © IAEME Publication ASSESSMENT OF LIQUEFACTION POTENTIAL OF SOIL USING MULTI-LINEAR REGRESSION MODELING Abdullah Anwar and Yusuf Jamal Assistant Prof., Civil Engineering Department, Integral University, Lucknow, Uttar Pradesh (226022), India Sabih Ahmad Associate Professor, Civil Engineering Department, Integral University, Lucknow, Uttar Pradesh (226022), India, M.Z. Khan Professor and Head, Civil Engineering Department, I.E.T. Sitapur Road, Lucknow, Uttar Pradesh (226022), India ABSTRACT The Standard Penetration Test (SPT) is the most widely used in-situ test throughout the world for subsurface geotechnical investigation and this procedure have evolved over a period of 100 years. Estimation of the liquefaction potential of soils is often based on SPT test. Liquefaction is one of the critical problems in the field of Geotechnical engineering. It is the phenomena when there is loss of shear strength in saturated and cohesion-less soils because of increased pore water pressures and hence reduced effective stresses due to dynamic loading. In the present study, SPT based data were analysed to find out a suitable numerical procedure for establishing a Multi- Linear Regression Model using IBM-Statistical Package for the Social Sciences (IBM SPSS Statistics v20.0.0) and MATLAB(R2010a) in analysis of soil liquefaction for a particular location at a site in Lucknow City. A Multi- Storeyed Residential Building Project site was considered for this study to collect 12 borehole datasets along 10 km stretch of IIM road, Lucknow, Uttar Pradesh (India). The 12 borehole datasets includes 06 borehole data up to 22m depth and other 06 borehole data up to 30m depth to further analyse the behavior of different soil properties and validity of the established Multi-Linear Regression Model. Disturbed soil sample were collected upto 22m and 30m depth in every1.5m interval to determine various soil parameters. In recent years, various researchers have expressed the need for location based specific study of seismic soil properties and analysis of Liquefaction in Soils. Keywords: Liquefaction, Multi-Linear Regression Modeling, MATLAB, SPSS, SPT, CSR, CRR. Cite this Article: Abdullah Anwar, Sabih Ahmad, Yusuf Jamal and M.Z. Khan, Assessment of Liquefaction Potential of Soil Using Multi-Linear Regression Modeling, International Journal of Civil Engineering and Technology, 7(1), 2016, pp. 373-415. http://www.iaeme.com/IJCIET/issues.asp?JType=IJCIET&VType=7&IType=1