JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE) ›› 2016, Vol. 46 ›› Issue (6): 127-134.doi: 10.6040/j.issn.1672-3961.0.2016.144

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Prediction of flow rate during tunnel excavation based on discrete fracture network models

BAO Jianye1, WANG Jing2*   

  1. 1. College of Civil Engineering, Inner Mongola Technical College of Construction, Hohhot 010070, Inner Mongola, China;
    2. Faculty of Civil and Transportation Engineering, Inner Mongola Techmical College of Construction, Hohhot 010070, Inner Mongola, China
  • Received:2016-04-29 Online:2016-12-20 Published:2016-04-29

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Abstract: 96 complex fracture networks was modelled that had different water depths, tunnel diameters, and excavation distances, a multi-variable regression was proposed function to predict the flow rate at tunnel face by calculating flow rate of each case. The results showed that the main flow paths were formed by connected fractures between the inlet and outlet boundaries. The fractures which formed fracture network had the maximum flow rate, and the flow rate was smaller for fractures far from the flow paths. With the increment of excavation distance, the flow rate at tunnel face increased following power law functions when water depth was small and linear functions when water depth was large. Tunnel diameter was the most sensitive parameter to influence the flow rate at tunnel face, followed by water depth and excavation distance. The predicted and calculated results were tallied well, which indicated that the proposed multi-variable regression function was suitable for predicting flow rate at tunnel face. The obtained conclusions are helpful for the engineers to predict the flow rate at tunnel face during construction.

Key words: flow rate, fracture network, regression function, prediction, tunnel

CLC Number: 

  • U452
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