DFN 모델링 연구 동향 소개: 균열망의 공간적 분포 특성 모사를 중심으로
Research Trend of DFN Modeling Methodology: Representation of Spatial Distribution Characteristics of Fracture Networks
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초록
DFN (discrete fracture network, 불연속균열망) 모델은 암반의 복합거동 분석을 위한 불연속암반 모사체로, 다양한 불연속암반의 수리-역학적 거동 해석 연구에 활용되어 왔다. 최근 들어서는 방사성폐기물심층처분장에서의 불연속암반 거동 해석과 같이 대규모 영역을 대상으로 하거나 높은 신뢰도를 갖춰야하는 DFN 모델링을 위해 암반균열망의 공간적 분산과 균열 간의 공간적 상관성을 구현하는 DFN 모델링기법이 요구되고 있다. 본 기술보고에서는 DFN 모델의 기하학적 모델링에 초점을 두어 암반균열망 모델링의 방법론을 정리 및 소개하고, 암반균열망의 공간적 분포 특성의 유형과 이를 DFN 모델링에 반영하기위해 제안된 모델링 기법들의 현황과 한계점을 검토하였다. 암반균열망의 공간적 분산을 고려하기 위해암반 공간을 균열 영역(fracture domain)으로 분할하는 기법(Darcel et al., 2013)과 균열 간의 공간적상관성을 재현하기 위해 균열의 발생과정을 모사하여 DFN 모델을 생성하는 발생학적 모델링 기법(genetic modeling)(Davy et al., 2013, Libby et al., 2019, Lavoine et al., 2020)이 제안되었으며, 각기법의 한계점을 검토한 결과, 모델링 기법의 적용성을 개선하는 추후 연구가 필요한 것으로 파악되었다.
Abstract
DFN (discrete fracture network) models that take account of spatial variability and correlation between rock fractures have been demanded for analysis of fractured rock mass behavior for wide areas with high reliability, such as that of underground nuclear waste repositories. In this regard, this report describes the spatial distribution characteristics of fracture networks, and the DFN modeling methodologies that aim to represent such characteristics. DFN modeling methods have been proposed to represent the spatial variability of rock fractures by defining fracture domains (Darcel et al., 2013) and the spatial correlation among fractures by genetic modeling techniques that imitate fracture growth processes (Davy et al., 2013, Libby et al., 2019, Lavoine et al., 2020).These methods, however, require further research for their application to field surveys and for modeling in-situ rock fracture networks.
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