This paper illustrates the geological-technical problems encountered in the design and construction of the Küchelberg road tunnel, which constitutes the second completion lot of the Merano bypass in the province of Bolzano, and in particular the characteristics of the specifically developed monitoring system. The tunnel layout runs in an urban environment with low overburden for approximately 2 km in two clearly distinct geological conditions that affect approximately 50% of the tunnel: the Merano side (west) in alluvial soils, the Passirio side (east) in rock. The article describes the type of monitoring system, so-called “active or smart” monitoring, which makes it possible to
follow the evolution of significant parameters that are indicators of the potential criticality of the excavation activities on the pre-existing ground with timely updates on a informatic platform This paper illustrates the geological-technical problems encountered in the design and construction of the Küchelberg road tunnel, which constitutes the second completion lot of the Merano bypass in the province of Bolzano, and in particular the characteristics of the specifically developed monitoring system. The tunnel layout runs in an urban environment with low overburden for approximately 2 km in two clearly distinct geological conditions that affect approximately 50% of the tunnel: the Merano side (west) in alluvial soils, the Passirio side (east) in rock. The article describes the type of monitoring system, so-called “active or smart” monitoring, which makes it possible to
follow the evolution of significant parameters that are indicators of the potential criticality of the excavation activities on the pre-existing ground with timely updates on a informatic platform

ISSN 1121-9041

CiteScore:
2020: 3.8
CiteScore measures the average citations received per peer-reviewed document published in this title.
CiteScore values are based on citation counts in a range of four years (e.g. 2016-2019) to peer-reviewed documents (articles, reviews, conference papers, data papers and book chapters) published in the same four calendar years, divided by the number of these documents in these same four years (e.g. 2016 —19).
Source Normalized Impact per Paper (SNIP):
2019: 1.307
SNIP measures contextual citation impact by weighting citations based on the total number of citations in a subject field.
SCImago Journal Rank (SJR)
2019: o.657
SJR is a prestige metric based on the idea that not all citations are the same. SJR uses a similar algorithm as the Google page rank; it provides a quantitative and a qualitative measure of the journal's impact.
Journal Metrics: CiteScore: 1.0 , Source Normalized Impact per Paper (SNIP): 0.381 SCImago Journal Rank (SJR): 0.163

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