The Spatial Distribution of Liquefaction Susceptibility by Logistic Regression Model adapted for Adapazari, Turkey

Authors : Ahmet Can MERT, Ersin AREL, Akın ÖNALP

Pages : 9851-9868

Doi:10.18400/tekderg.445322

View : 8 | Download : 6

Publication Date : 2020-03-01

Article Type : Research Paper

Abstract :A logistic regression model has been developed for evaluation of soil liquefaction by the use of cone penetration test insert ignore into journalissuearticles values(CPTu, PCPT); on data collected from Adapazarı, Turkey. The model inputs are the clean sand equivalent normalized cone tip resistance insert ignore into journalissuearticles values( q c1N,cs ); and cyclic stress ratio corrected for moment magnitude of 7.5 earthquake insert ignore into journalissuearticles values( CSR M=7.5 ); that was experienced in 1999. Liquefaction probabilities insert ignore into journalissuearticles values( P L ); are obtained for each district of the city for which CPTu data is available with the proposed logistic regression model. Average liquefaction probabilities of the depth interval 0-6 m and coordinates insert ignore into journalissuearticles values(Longitude, Latitude); of CPT soundings were plotted to construct a liquefaction probability map by longitude and latitude. In order to show the effect of depth in liquefaction potential, the obtained liquefaction probability contours were reconstructed by dividing 0-6m depth into three narrow sublayers of 0-2m, 2-4m and 4-6m wherein liquefaction was observed during the earthquake. For each depth interval, liquefaction probabilities of the districts are compared with the observed liquefied and non-liquefied sites in the city after 1999 Adapazarı Earthquake.  
Keywords : CPT, liquefaction, logistic regression, probability of liquefaction