TY - JOUR
T1 - A trace map comparison algorithm for the discrete fracture network models of rock masses
AU - Han, Shuai
AU - Wang, Gang
AU - Li, Mingchao
N1 - Funding Information:
This research was supported by the National Natural Science Foundation for Excellent Young Scientists of China (Grant no. 51622904 ) and the National Natural Science Foundation of China (Grant no. 51379006 , 51621092 ). Appendix A
Publisher Copyright:
© 2018 Elsevier Ltd
PY - 2018/6
Y1 - 2018/6
N2 - Discrete fracture networks (DFN) are widely used to build refined geological models. However, validating whether a refined model can match to reality is a crucial problem, concerning whether the model can be used for analysis. The current validation methods include numerical validation and graphical validation. However, the graphical validation, aiming at estimating the similarity between a simulated trace map and the real trace map by visual observation, is subjective. In this paper, an algorithm for the graphical validation of DFN is set up. Four main indicators, including total gray, gray grade curve, characteristic direction and gray density distribution curve, are presented to assess the similarity between two trace maps. A modified Radon transform and loop cosine similarity are presented based on Radon transform and cosine similarity respectively. Besides, how to use Bézier curve to reduce the edge effect is described. Finally, a case study shows that the new algorithm can effectively distinguish which simulated trace map is more similar to the real trace map.
AB - Discrete fracture networks (DFN) are widely used to build refined geological models. However, validating whether a refined model can match to reality is a crucial problem, concerning whether the model can be used for analysis. The current validation methods include numerical validation and graphical validation. However, the graphical validation, aiming at estimating the similarity between a simulated trace map and the real trace map by visual observation, is subjective. In this paper, an algorithm for the graphical validation of DFN is set up. Four main indicators, including total gray, gray grade curve, characteristic direction and gray density distribution curve, are presented to assess the similarity between two trace maps. A modified Radon transform and loop cosine similarity are presented based on Radon transform and cosine similarity respectively. Besides, how to use Bézier curve to reduce the edge effect is described. Finally, a case study shows that the new algorithm can effectively distinguish which simulated trace map is more similar to the real trace map.
KW - Graphical validation
KW - Image processing
KW - Rock mass model
KW - Similarity calculation
KW - Trace map
UR - http://www.scopus.com/inward/record.url?scp=85043387812&partnerID=8YFLogxK
U2 - 10.1016/j.cageo.2018.03.002
DO - 10.1016/j.cageo.2018.03.002
M3 - Journal article
AN - SCOPUS:85043387812
SN - 0098-3004
VL - 115
SP - 31
EP - 41
JO - Computers and Geosciences
JF - Computers and Geosciences
ER -