A design method for double line of rockfall net fences in the framework of prabilistic trajectory analyses

Rockfall net fence are a widely adopted rockfall risk mitigation measures, suitable for the great majority of the cases. Nevertheless, in particular complex morphologies, the trajectories of the possible detached blocks can be anomalous, with very high values of both the kinematic parameters of passing height and kinetic energy. In this case, a double line of net fence can be a convenient solution. In this case, the upper line is conceived as a fuse element that intercepts a percentage of blocks at least lowering them, while the lower line stops the remaining part. In the framework of partial safety factors design approach, a design method conceived by the Author is herein explained and tailored for a practical application in the common design practice, i.e. with the common trajectory softwares. An example of application on a real site is provided, showing the importance of performing a set of trajectory analyses to optimize the design of the whole system.

Rockfall net fence are a widely adopted rockfall risk mitigation measures, suitable for the great majority of the cases. Nevertheless, in particular complex morphologies, the trajectories of the possible detached blocks can be anomalous, with very high values of both the kinematic parameters of passing height and kinetic energy. In this case, a double line of net fence can be a convenient solution. In this case, the upper line is conceived as a fuse element that intercepts a percentage of blocks at least lowering them, while the lower line stops the remaining part. In the framework of partial safety factors design approach, a design method conceived by the Author is herein explained and tailored for a practical application in the common design practice, i.e. with the common trajectory softwares. An example of application on a real site is provided, showing the importance of performing a set of trajectory analyses to optimize the design of the whole system.


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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