MONITORING THE TRIGGERING OF LIQUEFACTION USING IMAGE PROCESSING
Author(s) -
Erica Elice Saloma Uy
Publication year - 2018
Publication title -
international journal of geomate
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.267
H-Index - 17
eISSN - 2186-2990
pISSN - 2186-2982
DOI - 10.21660/2018.51.02150
Subject(s) - liquefaction , image processing , computer vision , artificial intelligence , image (mathematics) , computer science , environmental science , geology , geotechnical engineering
In recent studies triggering or initiation of liquefaction is usually performed to characterize the potential of the soil to liquefy. Its behavior before, during and after liquefaction in a laboratory test needs to be understood. Image processing was implemented to monitor the triggering of liquefaction and estimate the cyclic shear strain that would trigger liquefaction. Lucas and Kanade pyramidal optical flow algorithm were used to track the movement of the soil. A mirrorless camera was the instrument used. The strain-controlled consolidated undrained cyclic triaxial test was performed. The loose condition was tested at 2.4, 1.6 and 0.8 mm strain amplitudes. The confining pressures used were 50, 100 and 200 kPa. Based on the results, the estimated values for the cyclic shear strain that would trigger liquefaction had a range of values due to the occurrence of non-homogeneous deformation. The minimum values were in agreement with the typical values while the maximum values were larger. For the behavior of the soil before, during and after liquefaction had occurred, the deformation behavior was different. More deformations were observed after the triggering of liquefaction.
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