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Stability analysis of historic underground quarries
Authors:Anna Maria Ferrero  Andrea Segalini  Gian Paolo Giani
Affiliation:1. Dept. of Civil, Environmental and Territory Engineering and Architecture, University of Parma, Italy;2. Dept. of Geological Science, State University of Milan, Italy
Abstract:This work, carried out at the Department of Civil, Environmental and Territory Engineering and Architecture (DICATeA) of the University of Parma, analyzes the stability conditions of the ancient underground quarries of Viggiù (Varese, Italy). The objective of the study is to verify the actual structural predisposition to instability phenomena of the old Viggiù quarries, within the context of a historical and cultural valorization and recovery of the ancient ornamental stone quarries. These quarries, that are now completely abandoned, could be used as a tourist attraction and/or as a teaching environment. They are a wonderful example of industrial architecture by presenting an audacious composition of filled in trenches and room and pillar techniques. An experimental campaign based on in situ measurements and laboratory measurements has been carried out to characterize the rock mass and to determine rock mass mechanical features. A numerical model of the entire rock mass has been developed in order to analyze the stability of the entire underground openings. A preliminary monitoring phase has been realized, aimed at controlling abandoned rock structure movements at the most significant discontinuities. Some measurements of the vertical stress in the pillars and in the walls have been performed, as well, and used for the model calibration. Once the model has been calibrated, the analysis of the actual stress and deformation conditions has been evaluated, the stability condition of the entire structure computed and a forecasting analysis of any intervention that could be realized to guarantee the underground public access has been performed.
Keywords:Underground quarries   Rock mass numerical modeling   Discontinuities monitoring
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