Sensitivity Analyses of Three-Dimensional Discrete Fracture Network Modeling of Rock Mass Article Swipe
YOU?
·
· 2015
· Open Access
·
· DOI: https://doi.org/10.7474/tus.2015.25.4.341
This study analyzes the relationship between parameters of the discontinuity in Discrete Fracture Network model such as fracture intensity, fracture orientation, fracture size, fracture shape etc. In this paper, FracMan code was used to model and analyze 3D DFN. A sensitivity analysis was performed in order to analyze the relationship between linear fracture intensity measure ( ) and parameters of the discontinuity in 100 m × 100 m × 100 m model area. As a result the sensitivity analysis showed that key parameters affecting fracture intensity are fracture orientation (Trend / Plunge). Conversion factor( ) for , to calculate volumetric fracture intensity measure ( ), is derived in case of vertical well and horizontal well when trend is 10°, 30°, 60°, 90°, 120°, 150°, 180° (7cases) and plunge is 5°, 15°, 30°, 45°, 60°, 75°, 85° (7cases). It is expected that this paper can be used effectively for modeling and understanding DFN model.Key words Discontinuous rock masses, 3D Discrete Fracture Network, Fracture intensity, FracMan code초 록 본 연구에서는 불연속암반의 모사기법인 3차원 불연속균열망(Discrete Fracture Network, DFN)모델의 구성 및 해석 코드인 FracMan을 이용하여, DFN모델에서의 불연속면의 밀도(fracture intensity), 불연속면의 방향성(fracture orientation), 불연속면의 크기(fracture size), 불연속면의 모양(fracture shape) 등의 불연속면의 특성인자간의 관계를 분석하고자 하였다. 100 m × 100 m × 100 m 모델영역에서 균열의 선형밀도(
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.7474/tus.2015.25.4.341
- OA Status
- diamond
- References
- 22
- Related Works
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- OpenAlex ID
- https://openalex.org/W2337134958
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2337134958Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.7474/tus.2015.25.4.341Digital Object Identifier
- Title
-
Sensitivity Analyses of Three-Dimensional Discrete Fracture Network Modeling of Rock MassWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2015Year of publication
- Publication date
-
2015-08-31Full publication date if available
- Authors
-
Jung Chan Park, Seung Hun Park, Ha Yung Kim, Geon-Young Kim, Sangki KwonList of authors in order
- Landing page
-
https://doi.org/10.7474/tus.2015.25.4.341Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.7474/tus.2015.25.4.341Direct OA link when available
- Concepts
-
Sensitivity (control systems), Rock mass classification, Fracture (geology), Geology, Environmental science, Computer science, Geotechnical engineering, Engineering, Electronic engineeringTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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22Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.sensitivity | 41, 80 |
| abstract_inverted_index.orientation, | 21 |
| abstract_inverted_index.relationship | 5, 50 |
| abstract_inverted_index.DFN)모델의 | 183 |
| abstract_inverted_index.Discontinuous | 163 |
| abstract_inverted_index.discontinuity | 10, 64 |
| abstract_inverted_index.orientation), | 196 |
| abstract_inverted_index.understanding | 159 |
| abstract_inverted_index.선형밀도( | 219 |
| abstract_inverted_index.이용하여, | 189 |
| abstract_inverted_index.모사기법인 | 178 |
| abstract_inverted_index.모양(fracture | 201 |
| abstract_inverted_index.밀도(fracture | 192 |
| abstract_inverted_index.분석하고자 | 207 |
| abstract_inverted_index.불연속면의 | 191, 194, 197, 200, 204 |
| abstract_inverted_index.연구에서는 | 176 |
| abstract_inverted_index.크기(fracture | 198 |
| abstract_inverted_index.DFN모델에서의 | 190 |
| abstract_inverted_index.모델영역에서 | 217 |
| abstract_inverted_index.방향성(fracture | 195 |
| abstract_inverted_index.불연속암반의 | 177 |
| abstract_inverted_index.특성인자간의 | 205 |
| abstract_inverted_index.불연속균열망(Discrete | 180 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 5 |
| citation_normalized_percentile.value | 0.18002596 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |