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Author - Daniele

UAV  photogrammetry  offers  a  powerful  and  cheap  methodology  to  reconstruct  the  terrain  geomorphology. The purpose of this study is the application of a generic Structure-from-Mo-tion  workflow  to  properly  elaborate  different  set  of  images  from  multitemporal  surveys  to  perform a surface and volume change detection by meaning of a cloud-to-cloud comparison. The  complex  geomorphology  of...

The fragmentation process of the falling blocks is a key aspect in the study and the simulation of rockfall phenomenon. The single blocs can generate fragments, deviating their trajectory, modifying their energy. The present research describes an application of a fractal fragmentation model on a real study case and identifies the main issues that can rise. A multi-objective procedure to define model parameters...


A global overview of the technologies that can be applied for modern tunnelling construction taking into account the OS&H aspects is shortly presented in the paper.


The interaction between tunnels and underground water is a complex topic and it is of great relevance taking into account the environment, the protection of drinkable water and the interference with tunnel construction method. Due to the great importance of the topic, in the following are presented and discussed the most relevant technologies for water management in tunnelling with a specific attention...

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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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