Special Issue "3D Jointed Rock Mass Structural Analysis and Evaluation of Rockfall Potential"
Deadline for manuscript submissions: 31 January 2021.
Interests: evaluation of liquefaction potential; geohazards; engineering geology; landslide susceptibility and hazard; rock fall hazard; UAV-based survey of geohazards
Interests: Natural hazards; landslides; rockfalls; UAVs; LiDAR; rock mass classification; tunnels; weak rocks
Special Issues and Collections in MDPI journals
Interests: The engineering behavior of rocks and rockmasses, weak rocks and complex formations; the engineering geology of major infrastructure works, tunnelling and geohazard risk assessment (landslides and rockfalls)
It is our pleasure to announce the opening of a new Special Issue in the Applied Sciences Journal.
The main topic of the Special Issue is the application of new technologies, i.e., UAV-SfM and LiDAR, on the characterization of rock mass and the evaluation of rockfall potential. At present, a 3D model of a rock slope is frequently utilized to analyze rock mass in order to evaluate the rock fall hazard. More specifically, the development of a 3D model is considered as core data to define the characteristics of the discontinuity sets and, particularly, to extract information regarding the orientation and spacing of discontinuities based either on semi-automated or manual procedures. Having assessed this information, a reliable evaluation of rock fall potential can be realized, aiming to highlight likely-to-fail areas on a rock slope.
Furthermore, images of a slope face, acquired based on a UAV and/or LiDAR survey before and after the occurrence of a rock fall, are frequently used in order i) to detect the location of the detached blocks and ii) to back-analyze their trajectory. Quantitative estimation of both parameters is crucial for a reliable evaluation of a rock fall hazard and risk.
Thus, this Special Issue is aimed at exploring recent advances in the field of 3D rock mass analysis and evaluation of rockfall hazard. We would like to invite contributions related to the development and data processing of a 3D model of a rock slope, as well as papers focusing on the application of new technologies for acquiring images before and after a rock fall. Studies on powerful approaches for the geotechnical rock mass classification using photogrammetry point clouds through automated or semi-automated methods are strongly welcomed.Dr. George Papathanassiou
Dr. Vassilis Marinos
Dr. Charalampos Saroglou
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Geohazards and new technologies
- Defining orientation and spacing of discontinuities
- Change detection on rock slopes
- Evaluation of rockfall potential
- Rock mass characterization, classification based on UAV and/ or LiDAR-developed 3D model
- Documentation of rockfall case studies