Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Gessica Umili"'
Publikováno v:
Journal of Rock Mechanics and Geotechnical Engineering, Vol 15, Iss 9, Pp 2250-2263 (2023)
Block size and shape depend on the state of fracturing of the rock mass and, consequently, on the geometrical features of the discontinuity sets (mainly orientation, spacing, and persistence). The development of non-contact surveying techniques appli
Externí odkaz:
https://doaj.org/article/4126807a513649c3aa583ebeb05de61b
Autor:
Mauro Bonasera, Battista Taboni, Chiara Caselle, Fiorella Acquaotta, Giandomenico Fubelli, Luciano Masciocco, Sabrina Maria Rita Bonetto, Anna Maria Ferrero, Gessica Umili
Publikováno v:
Sensors, Vol 24, Iss 11, p 3327 (2024)
The prediction and prevention of landslide hazard is a challenging topic involving the assessment and quantitative evaluation of several elements: geological and geomorphological setting, rainfalls, and ground motion. This paper presents the multi-ap
Externí odkaz:
https://doaj.org/article/2f1cc8b115b344d689b5aa3283a75099
Publikováno v:
Remote Sensing, Vol 15, Iss 18, p 4453 (2023)
Proximity remote sensing techniques, both land- and drone-based, allow for a significant improvement of the quality and quantity of raw data employed in the analysis of rockfall phenomena. In particular, the large amount of data these techniques can
Externí odkaz:
https://doaj.org/article/bbecd64105c8429696932067da262375
Autor:
Sabrina Maria Rita Bonetto, Federico Vagnon, Gessica Umili, Davide Vianello, Maria Rita Migliazza, Anna Maria Ferrero
Publikováno v:
Egyptian Journal of Remote Sensing and Space Sciences, Vol 24, Iss 1, Pp 1-13 (2021)
An in-depth knowledge of the geostructural characteristics of the territory is fundamental for optimizing the design of artificial structures. Feasibility, costs, duration, and issues of the works are strictly correlated with the geological, geomecha
Externí odkaz:
https://doaj.org/article/5c5302af07d44242ac6954fc7b6a32f8
Publikováno v:
Egyptian Journal of Remote Sensing and Space Sciences, Vol 23, Iss 1, Pp 97-111 (2020)
In this study, a semi-automatic approach implemented in the code CurvaTool has been applied to the analysis of the structural asset and its potential relationship with local water distribution in an area of the central sector of the Main Ethiopian Ri
Externí odkaz:
https://doaj.org/article/7ce72fed618048e5b3a99192f7d7e4c4
Publikováno v:
Geosciences, Vol 12, Iss 12, p 435 (2022)
The assessment of rock outcrops’ predisposition to the main possible kinematisms represents the preliminary step of stability analysis: Markland’s tests for sliding and toppling constitute a milestone due to the ease of use and interpretation of
Externí odkaz:
https://doaj.org/article/d3f8b168b96743f291e90e6f67edcdb2
Publikováno v:
Geosciences, Vol 12, Iss 7, p 260 (2022)
Flood risk in Italy is a key aspect for the administrative authorities, from the national to the local level. This is especially true in Northern Italy, where the Po River, the most important river of the peninsula, and its river basin are located. I
Externí odkaz:
https://doaj.org/article/dfa7226f61944233ada1865ed4856502
An integrated multiscale approach for characterization of rock masses subjected to tunnel excavation
Publikováno v:
Journal of Rock Mechanics and Geotechnical Engineering, Vol 10, Iss 3, Pp 513-522 (2018)
The design of tunnels must be conducted based on the knowledge of the territory. The longer the structure, the larger the area to be investigated, and the greater the number of surveys and tests to be performed in order to thoroughly examine all the
Externí odkaz:
https://doaj.org/article/26ecff2a51cd4d6ca6c429849304cb7a
Publikováno v:
Geosciences, Vol 10, Iss 8, p 305 (2020)
The Eurocode 7 or EC7 is the Reference Design Code (RDC) for geotechnical design including rock engineering design within the European Union (EU). Moreover, its principles have also been adopted by several other countries, becoming a key design stand
Externí odkaz:
https://doaj.org/article/838fee85d34b4d5b8d9ce0e61238fab8
Autor:
Mahshid Zeighami Moghaddam, Gessica Umili, Vito Messina, Sabrina Bonetto, Anna Maria Ferrero, Gaia Bollini, David Gandreau
Publikováno v:
Applied Sciences, Vol 10, Iss 15, p 5077 (2020)
This research investigates fundamental problems in object recognition in earthen heritage and addresses the possibility of an automatic crack detection method for rammed earth images. We propose and validate a straightforward support vector machine (
Externí odkaz:
https://doaj.org/article/bd4111e859d24c96a390c9b576e39e0b