2020
DOI: 10.3390/min10110994
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3D Fabric Analysis in Fault Rock Using Synchrotron μ-CT: A Statistical Approach to SPO (Shape Preferred Orientation) for Estimation of Fault Motion

Abstract: This study provides information about fault motion by statistically presenting shape and orientation information for tens of thousands of grains. The recently developed shape preferred orientation (SPO) measurement method using synchrotron micro-computed tomography was used. In addition, various factors that were not considered in previous SPO analysis were analyzed in-depth. The study area included the Yangsan and Ulsan fault zones, which are the largest fault zones in the southeastern part of the Korean Peni… Show more

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Cited by 2 publications
(3 citation statements)
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“…(g, h) The results of measuring the 3D-SPO of a fault gouge sample from Yangsan fault for thousands of particles using synchrotron X-CT are shown in lower-hemisphere equal area projections with a result interpreted using a focal mechanism solution. (Modified fromShelley, 1995;Cladouhos, 1999;Sills, 2010;Sim et al, 2020aSim et al, , 2020b.…”
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confidence: 99%
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“…(g, h) The results of measuring the 3D-SPO of a fault gouge sample from Yangsan fault for thousands of particles using synchrotron X-CT are shown in lower-hemisphere equal area projections with a result interpreted using a focal mechanism solution. (Modified fromShelley, 1995;Cladouhos, 1999;Sills, 2010;Sim et al, 2020aSim et al, , 2020b.…”
mentioning
confidence: 99%
“…(b) The orientation of grains included in the core sample is measured on the X-CT image. (c) Direction of fault motion (V fm ) and rake values are estimated through the grain SPO and plotted on a stereo-net (Modified fromSim et al, 2020b). V ss : vector of strike-slip; Vds: vector of dip-slip; V fm : vector of fault motion; and V SPO : vector of densest point of SPO.…”
mentioning
confidence: 99%
“…This method is optimized for estimating the orientation of the silt-sized rigid grains in fault gouge, which indicates P-shear direction in a fault system. Sim et al [5] successfully deduced fault motion sense and quantified the fault movement for the largest fault zones in the southeastern part of the Korean Peninsula. In this study, the authors provided information about fault motion by statistically presenting shape and orientation information for tens of thousands of grains.…”
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confidence: 99%