Skip to Main Content (Press Enter)

Logo UNIPV
  • ×
  • Home
  • Corsi
  • Insegnamenti
  • Professioni
  • Persone
  • Pubblicazioni
  • Strutture

UNIFIND
Logo UNIPV

|

UNIFIND

unipv.it
  • ×
  • Home
  • Corsi
  • Insegnamenti
  • Professioni
  • Persone
  • Pubblicazioni
  • Strutture
  1. Pubblicazioni

An Open-Source Algorithm for 3D ROck Slope Kinematic Analysis (ROKA)

Articolo
Data di Pubblicazione:
2021
Abstract:
The Markland test is one of the most diffused and adopted methods of kinematic analysis for the identification of critical intersections of rock discontinuities that could generate rock failures. Traditionally, the kinematic analysis is based on the use of a stereographic approach that is able to identify the critical combination between the orientations of discontinuities and the rock wall. The recent improvements in the use of Digital Outcrop Models (DOMs) created the conditions for the development of a new automatized approach. We present ROck Slope Kinematic Analysis (ROKA) which is an open-source algorithm aimed at performing the Kinematic Analysis using the discontinuity measures collected onto a 3D DOM. The presented algorithm is able to make a local identification of the possible critical combination between the identified discontinuities and the orientation of the slope. Using this approach, the algorithm is able to identify on the slope the presence of critical combinations according to the traditional kinematic analysis of planar failure, flexural toppling, wedge failure, and direct toppling modes of failures and then visualize them on DOMs. In this way, the traditional approach is more effective and can be adopted for a more detailed analysis of large and complex areas.
Tipologia CRIS:
1.1 Articolo in rivista
Keywords:
rock kinematic analysis; Unamanned Aerial Vehicle (UAV); Digital Outcrop Model (DOM); Markland tests
Elenco autori:
Menegoni, N; Giordan, D; Perotti, Cesare
Autori di Ateneo:
MENEGONI NICCOLO'
PEROTTI CESARE
Link alla scheda completa:
https://iris.unipv.it/handle/11571/1463030
Pubblicato in:
APPLIED SCIENCES
Journal
  • Utilizzo dei cookie

Realizzato con VIVO | Designed by Cineca | 25.12.1.0