Laboratory of Mine Design

Mining and Geomechanical Applications

  • Increase font size
  • Default font size
  • Decrease font size
Home Publications Conferences Geotechnical EPB model for Mas-Blau L9 section (Barcelona), EUROTUN:2009:933-954

Geotechnical EPB model for Mas-Blau L9 section (Barcelona), EUROTUN:2009:933-954

Print PDF

A geotechnical and EPB model of Mas-Blau L9 metro tunnel in Barcelona

Maria Stavropoulou1, George Exadaktylos2, George Xiroudakis2 and George Saratsis2

1Dept. of Dynamic Tectonic and Applied Geology, Faculty of Geology and Geo-Environment, University of Athens, Greece

2Dept. of Mineral Resources Eng., Technical University of Crete, Chania, Greece


A challenging topic in soft ground tunnelling engineering is how the predominant geotechnical parameters of the soils are modeled inside the 3D domain of interest, since this model feeds the numerical model for subsequent excavation performance, stability, subsidence and risk calculations. Care must also be given to the appropriate modeling of the geometry of the distinct geological layers that could create problems during underground construction. One way to do this is by following a similar procedure with that proposed here for the geotechnical parameters, i.e. through the use of a geostatistical interpolation technique such as kriging or simulation annealing; the latter bypasses the smoothing effect induced by the former method. Another interesting aspect of tunnelling is how to take into account TBM logged data as boring of the tunnel progresses, for the continuous improvement (feedback) of the geotechnical model. This paper presents first the geostatistical methodology for the transformation the conceptual geological model into a geotechnical model and second a first EPB performance model that enhances the prior geotechnical model and constitutes a first “underground construction environment model” for the Mas-Blau section of Metro L9 in Barcelona.

Keywords: Mechanized tunnelling, Geological model, Geostatistics, EPB, cutting knives, Risk