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

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 fac...

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Main Authors: Ho Sim, Yungoo Song, Seongsik Hong, Sung-Ja Choi
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Minerals
Subjects:
Online Access:https://www.mdpi.com/2075-163X/10/11/994
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spelling doaj-0931f4fcc3944db989f35392f90269052020-11-25T03:59:15ZengMDPI AGMinerals2075-163X2020-11-011099499410.3390/min101109943D Fabric Analysis in Fault Rock Using Synchrotron μ-CT: A Statistical Approach to SPO (Shape Preferred Orientation) for Estimation of Fault MotionHo Sim0Yungoo Song1Seongsik Hong2Sung-Ja Choi3Department of Earth System Sciences, Yonsei University, Seoul 03722, KoreaDepartment of Earth System Sciences, Yonsei University, Seoul 03722, KoreaDepartment of Earth System Sciences, Yonsei University, Seoul 03722, KoreaKorea Institute of Geoscience and Mineral Resources, Daejeon 34132, KoreaThis 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 Peninsula. Samples were collected from five outcrops in two regions. According to the field observation results, the samples in the area were largely divided into fault gouge and cataclasite, and as a result of SPO analysis, we succeeded in restoring the three-dimensional fault motion direction for each outcrop and identified the fault type. In addition, the analysis results of the fault gouge and cataclasite samples collected from the thin fault zone were interpreted using the focal mechanism solution. As a result, the statistical SPO analysis approach supplements the shortcomings of previous research methods on two-dimensional planes and can quantitatively infer the three-dimensional fault motion for various fault rock samples in the same sequence, thus, presenting useful evidence for structural analysis.https://www.mdpi.com/2075-163X/10/11/994three-dimensional fault motionshape preferred orientation (SPO)Yangsan faultUlsan faultsynchrotron μ-CT
collection DOAJ
language English
format Article
sources DOAJ
author Ho Sim
Yungoo Song
Seongsik Hong
Sung-Ja Choi
spellingShingle Ho Sim
Yungoo Song
Seongsik Hong
Sung-Ja Choi
3D Fabric Analysis in Fault Rock Using Synchrotron μ-CT: A Statistical Approach to SPO (Shape Preferred Orientation) for Estimation of Fault Motion
Minerals
three-dimensional fault motion
shape preferred orientation (SPO)
Yangsan fault
Ulsan fault
synchrotron μ-CT
author_facet Ho Sim
Yungoo Song
Seongsik Hong
Sung-Ja Choi
author_sort Ho Sim
title 3D Fabric Analysis in Fault Rock Using Synchrotron μ-CT: A Statistical Approach to SPO (Shape Preferred Orientation) for Estimation of Fault Motion
title_short 3D Fabric Analysis in Fault Rock Using Synchrotron μ-CT: A Statistical Approach to SPO (Shape Preferred Orientation) for Estimation of Fault Motion
title_full 3D Fabric Analysis in Fault Rock Using Synchrotron μ-CT: A Statistical Approach to SPO (Shape Preferred Orientation) for Estimation of Fault Motion
title_fullStr 3D Fabric Analysis in Fault Rock Using Synchrotron μ-CT: A Statistical Approach to SPO (Shape Preferred Orientation) for Estimation of Fault Motion
title_full_unstemmed 3D Fabric Analysis in Fault Rock Using Synchrotron μ-CT: A Statistical Approach to SPO (Shape Preferred Orientation) for Estimation of Fault Motion
title_sort 3d fabric analysis in fault rock using synchrotron μ-ct: a statistical approach to spo (shape preferred orientation) for estimation of fault motion
publisher MDPI AG
series Minerals
issn 2075-163X
publishDate 2020-11-01
description 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 Peninsula. Samples were collected from five outcrops in two regions. According to the field observation results, the samples in the area were largely divided into fault gouge and cataclasite, and as a result of SPO analysis, we succeeded in restoring the three-dimensional fault motion direction for each outcrop and identified the fault type. In addition, the analysis results of the fault gouge and cataclasite samples collected from the thin fault zone were interpreted using the focal mechanism solution. As a result, the statistical SPO analysis approach supplements the shortcomings of previous research methods on two-dimensional planes and can quantitatively infer the three-dimensional fault motion for various fault rock samples in the same sequence, thus, presenting useful evidence for structural analysis.
topic three-dimensional fault motion
shape preferred orientation (SPO)
Yangsan fault
Ulsan fault
synchrotron μ-CT
url https://www.mdpi.com/2075-163X/10/11/994
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AT yungoosong 3dfabricanalysisinfaultrockusingsynchrotronmctastatisticalapproachtosposhapepreferredorientationforestimationoffaultmotion
AT seongsikhong 3dfabricanalysisinfaultrockusingsynchrotronmctastatisticalapproachtosposhapepreferredorientationforestimationoffaultmotion
AT sungjachoi 3dfabricanalysisinfaultrockusingsynchrotronmctastatisticalapproachtosposhapepreferredorientationforestimationoffaultmotion
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