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Temperature predictions and predictive temperatures in deep tunnels

Summary

Reliable assessments of the underground temperature are needed for construction projects like deep tunnels, shafts and storage facilities. In areas of pronounced topographic relief, special attention must be given to the influence of three-dimensional topography on the subsurface temperature field. Further parameters for the prediction include ground surface temperature, local heat flow density, geological factors (structure/schistosity, thermal conductivity, erosion rate, water circulation). A first prediction was attempted for the planned Gotthard railroad tunnel (NEAT). This tunnel will have a total length of 56 km with a maximum cover of 2500 m. The temperature predictions were calculated, based on the RIMINI topography array, for points at 1-km-intervals along the planned axis. Maximum temperature (conservative upper limit) is about 45°C; the error of the predicted temperatures could be, in view of the uncertainties involved, in general ca. ±5–10°C.

Since little is known at present about the deep water circulation system in the realm of the planned Gotthard tunnel, the prediction calculations assume heat transport by pure conduction. Significant subsurface water flow would mainly lead to the reduction of rock temperatures by cold infiltrations from the surface, as demonstrated by observations in the Simplon and Mont Blanc tunnels. In fact, the deviation of actual measurements (performed right behind the advancing face) from “conductive” previsions should be used as a predictive tool of large water flows which could be encountered during tunnel construction.

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Rybach, L., Pfister, M. Temperature predictions and predictive temperatures in deep tunnels. Rock Mech Rock Engng 27, 77–88 (1994). https://doi.org/10.1007/BF01020206

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Keywords

  • Temperature Prediction
  • Tunnel Construction
  • Ground Surface Temperature
  • Heat Flow Density
  • Predictive Temperature