Determination of three dimensional hydraulic conductivities using a combined analytical/neural network model

Tunnelling and Underground Space Technology

Volumn 26, Issue 2, 2011, Pages 310-319

  Sun, Jianping ^a   Zhao Zhiye, Z ^a   Zhang, Yun ^a  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

Anisotropy; Fractured rock masses; Heterogeneity; Hydraulic conductivity; Neural network method; Seepage analysis

Indexed keywords

3-D NUMERICAL ANALYSIS; ENGINEERING PROJECT; ENVIRONMENTAL PROBLEMS; FRACTURED ROCK MASS; HETEROGENEITY; HYDROLOGICAL PARAMETERS; HYDROPOWER PROJECTS; IN-SITU; INJECTION TEST; NETWORK MODELS; NEURAL NETWORK METHOD; REAL PROJECTS; ROCK FRACTURES; SAFETY ASSESSMENTS; SEEPAGE ANALYSIS; SITE INVESTIGATIONS; STORAGE CAVERNS; THEORETICAL MODELS;

ANISOTROPY; GROUNDWATER; GROUNDWATER FLOW; HYDRAULIC CONDUCTIVITY; HYDROCARBONS; INDUSTRIAL WASTE TREATMENT; NEURAL NETWORKS; NUMERICAL ANALYSIS; RADIOACTIVE WASTE STORAGE; RADIOACTIVE WASTES; ROCK MECHANICS; ROCKS; SEEPAGE;

THREE DIMENSIONAL;

ANISOTROPY; ARTIFICIAL NEURAL NETWORK; BOREHOLE; FRACTURED MEDIUM; GROUNDWATER FLOW; HETEROGENEITY; HYDRAULIC CONDUCTIVITY; NUMERICAL METHOD; SEEPAGE; THREE-DIMENSIONAL MODELING;

EID: 78751703410     PISSN: 08867798     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.tust.2010.11.002     Document Type: Article

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