Ramiro García-Luna

Ramiro García-Luna
  • BSc in Geology; MSc in Geotechnical Engineering and Soil Mechanics; PhD Student
  • Universidad Politécnica de Madrid

About

13
Publications
1,011
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109
Citations
Current institution
Universidad Politécnica de Madrid

Publications

Publications (13)
Chapter
The Shaimdrone project puts a methodology forward for the semi-automatic analysis, evaluation and management of massive geometric data – 3D point cloud (3DPC) models–collected from rock slopes using drones. This project is applicable to many disciplines derived from geotechnical engineering, such as risk indices, geomechanical analysis, movement mo...
Chapter
Characterizing rock mass discontinuities is a crucial aspect of rock engineering. Current automatic methods for discontinuity identification from 3D point clouds generally do not provide mathematical descriptions of individual ‘joints’. To overcome this limitation, this article proposes a three-stage approach with the following steps: (i) identific...
Article
Full-text available
The Structure from Motion (SfM) photogrammetric technique has emerge as an efficient alternative for remote 3D rock mass characterization, compared to laser scanner (LiDAR) or stereoscopic photogrammetry, due to its economy and ease of use. In a similar way, the recent development of the drone-based technology has turn UAVs (“Unmanned Aerial Vehicl...
Article
Full-text available
The Structure from Motion (\({\text{SfM}}\)) photogrammetric technique has emerged as an efficient alternative for remote 3D rock characterization, compared to laser scanner (LiDAR) or stereoscopic photogrammetry, due to its economy and ease of use. This work uses a terrestrial \({\text{SfM}}\) approach, in combinations with telephoto lens, to char...
Article
Full-text available
In this study we propose a novel methodology to characterize the roughness of rock joints using photogrammetry techniques and frequency analyses. The process starts with the generation of a 3D model (a dense point cloud) using the Structure from Motion (SfM) technology. Joint profiles are then extracted from this model and their frequency spectra a...
Conference Paper
The Joint Roughness Coefficient (JRC) is probably the most common tool to characterize joint roughness in practice. However, its visual assessment by means of Barton´s comb can be subjective and it also requires direct contact with the rock mass while measurements are taken, increasing the time for data acquisition and the risk for the workers' saf...
Conference Paper
The results of two tunnel face stability laboratory tests, considering partial collapse and employing a small-scale model at single gravity, are presented. The tunnel is modeled by a rigid cylinder and the collapse of the face is triggered by the retraction of a piston that supports the soil. Both the collapse of the tunnel face and the deformation...
Chapter
We propose an inexpensive and easy-to-use methodology for remote characterization of underground rock masses at the tunnel face. The method is based on the joint use of the Structure from Motion (SfM) photogrammetric technique and a Discontinuity Set Extractor (DSE) software, in which a high-density 3D point cloud is created using a commercial SfM...
Article
A new methodology to identify discontinuity sets at the tunnel face based on the Structure from Motion (SfM) photogrammetric technique is proposed. The work focuses on the performance of this technique when employed to characterize the ground mass under real tunneling conditions, illustrating its possibilities and analyzing several aspects that aff...

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