Characterization of rock slopes through slope mass rating using 3D point clouds

Riquelme, Adrián; Tomás, Roberto; Abellán, Antonio

doi:10.1016/j.ijrmms.2015.12.008

Cited by 71 publications

(30 citation statements)

References 24 publications

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“…Alternatively, 3D Digital Surface Models (DSM) of the rock wall may be prepared with either digital photogrammetry or LiDAR, which allow obtaining the actual joint pattern at the source area (Brideau et al 2012;Firpo et al 2011;Gates et al 2012;Haneberg et al 2006;Lato et al 2012;Pate et al 2011;Riquelme et al 2016;Sturzenegger et al 2009). The discontinuities can be extracted either from 3D point clouds (Riquelme et al 2014) or 3D meshes (Umili et al 2013) of LiDAR images, by means of specialized software such as Coltop3D (Jaboyedoff et al 2007), CloudCompare (Girardeau-Montaut 2006), Split-FX, or Sirovision.…”

Section: Generation Of the Ibsdmentioning

confidence: 99%

A fractal fragmentation model for rockfalls

2016

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(150-250 words)The impact-induced rock mass fragmentation in a rockfall is analyzed by comparing the In Situ Block Size Distribution (IBSD) of the rock mass detached from the cliff face and the resultant Rockfall Block Size Distribution (RBSD) of the rockfall fragments on the slope. The analysis of several inventoried rockfall events suggests that the volumes of the rockfall fragments can be characterized by a power law distribution. We propose the application of a three-parameter Rockfall Fractal Fragmentation Model (RFFM) for the transformation of the IBSD into the RBSD. A Discrete Fracture Network model is used to simulate the discontinuity pattern of the detached rock mass and to generate the IBSD. Each block of the IBSD of the detached rock mass is an initiator. A survival rate is included to express the proportion of the unbroken blocks after the impact on the ground surface. The model was calibrated using the volume distribution of a rockfall event in Vilanova de Banat in the Cadí Sierra, Eastern Pyrenees, Spain. The RBSD was obtained directly in the field, by measuring the rock blocks fragments deposited on the slope. The IBSD and the RBSD were fitted by exponential and power-law functions, respectively. The results show that the proposed fractal model can successfully generate the RBSD from the IBSD and indicate the model parameter values for the case study.

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Section: Generation Of the Ibsdmentioning

confidence: 99%

A fractal fragmentation model for rockfalls

2016

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“…Ferrero et al [26] and Martino and Mazzanti [27] have applied TLS techniques to derive detailed geo-structural surveys of rock cliffs affected by joints and discontinuities which have been used to assess the stability conditions of potential dislocated blocks by means of the limit equilibrium method. In addition to the mentioned papers, Riquelme et al [28] explored the use of 3D point clouds in the characterization of rock slopes whereas Abellan et al [29] and Balek and Blahut [30] applied such methodologies in the geohazards investigation and landslide research respectively.…”

Section: Introductionmentioning

confidence: 99%

An Integrated Procedure to Assess the Stability of Coastal Rocky Cliffs: From UAV Close-Range Photogrammetry to Geomechanical Finite Element Modeling

et al. 2017

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Abstract:The present paper explores the combination of unmanned aerial vehicle (UAV) photogrammetry and three-dimensional geomechanical modeling in the investigation of instability processes of long sectors of coastal rocky cliffs. The need of a reliable and detailed reconstruction of the geometry of the cliff surfaces, beside the geomechanical characterization of the rock materials, could epresent a very challenging requirement for sub-vertical coastal cliffs overlooking the sea. Very often, no information could be acquired by alternative surveying methodologies, due to the absence of vantage points, and the fieldwork could pose a risk for personnel. The case study is represented by a 600 m long sea cliff located at Sant'Andrea (Melendugno, Apulia, Italy). The cliff is characterized by a very complex geometrical setting, with a suggestive alternation of 10 to 20 m high vertical walls, with frequent caves, arches and rock-stacks. Initially, the rocky cliff surface was reconstructed at very fine spatial resolution from the combination of nadir and oblique images acquired by unmanned aerial vehicles. Successively, a limited area has been selected for further investigation. In particular, data refinement/decimation procedure has been assessed to find a convenient three-dimensional model to be used in the finite element geomechanical modeling without loss of information on the surface complexity. Finally, to test integrated procedure, the potential modes of failure of such sector of the investigated cliff were achieved. Results indicate that the most likely failure mechanism along the sea cliff examined is represented by the possible propagation of shear fractures or tensile failures along concave cliff portions or over-hanging due to previous collapses or erosion of the underlying rock volumes. The proposed approach to the investigation of coastal cliff stability has proven to be a possible and flexible tool in the rapid and highly-automated investigation of hazards to slope failure in coastal areas.

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“…ereby, it is necessary to comprehensively consider the influence of quantitative and qualitative indexes on slope stability. At present, analytic hierarchy process (AHP) [6,7], fuzzy mathematical method [8][9][10], grey clustering method [11], catastrophe theory [12], cloud model [13,14], support vector machine [15,16], and other "soft computing" methods have been widely used in evaluation of slope stability taking into account quantitative and qualitative indicators comprehensively. When using these methods to calculate the stable state of the slope, the weights of indicators must be determined.…”

Section: Introductionmentioning

confidence: 99%

A New Evaluation Method for Slope Stability Based on TOPSIS and MCS

Chen

Zhao

Liu

et al. 2020

Advances in Civil Engineering

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Slope evaluation is a basic geotechnical engineering issue. The rationality of index weight greatly affects the accuracy of evaluation results in the evaluation system. Furthermore, in practical engineering, some indexes can be considered random variables obeying a certain distribution. Traditional evaluation methods of slope stability ignore the effect of this index uncertainty. Therefore, it is necessary to obtain the evaluation results of slope stability reasonably by modifying the previous weighting methods and considering the uncertainty values of the indexes. A new method has been introduced to solve the problem mentioned previously based on TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) and Monte Carlo simulation (MCS). TOPSIS is used as a basic model for evaluating slope stability. TOPSIS and MCS are coupled to establish multiobjective optimization simulation model, which can search the more optimal and reliable weight. The optimal weight is then substituted into the TOPSIS basic model to calculate the status of slope stability. In this calculation process, MCS is introduced into the TOPSIS basic model to consider the uncertainty value of index. The new method of evaluating slope stability was demonstrated by taking a practical project as an example. Compared with other weighting methods, the coupled TOPSIS and MCS model can obtain the most reliable weight, and the reliability is 48.7%. Then, the evaluation of slope stability was examined with the certainty and uncertainty cases, respectively. The results demonstrate that the proposed new evaluation method is more realistic than the traditional methods for evaluating the slope stability. The new method has high accuracy and is easy to use.

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Characterization of rock slopes through slope mass rating using 3D point clouds

Cited by 71 publications

References 24 publications

A fractal fragmentation model for rockfalls

A fractal fragmentation model for rockfalls

An Integrated Procedure to Assess the Stability of Coastal Rocky Cliffs: From UAV Close-Range Photogrammetry to Geomechanical Finite Element Modeling

A New Evaluation Method for Slope Stability Based on TOPSIS and MCS

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