A rapid approach to estimate the rockfall energies and distances at the base of rock cliffs

Ferrari, Federica; Thoeni, Klaus; Giacomini, A.; Lambert, Cédric

doi:10.1080/17499518.2016.1139729

Cited by 8 publications

(8 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, as the analysed event is usually only a random sample of many different possible rockfalls there is no information as to whether the recorded rockfall is an average or an extreme event. A probabilistic analysis as for example described in Ferrari et al [2] is therefore necessary.…”

Section: Introductionmentioning

confidence: 99%

Repetitive Rockfall Trajectory Testing

et al. 2018

View full text Add to dashboard Cite

Numerical simulations of rockfall trajectories are a standard procedure for evaluating rockfall hazards. For these simulations, corresponding software codes must be calibrated and evaluated based on field data. This study addresses methods of repeatable rockfall tests, and investigates whether it is possible to produce traceable and statistically analysable data. A testing series is described extensively covering how to conduct rockfall experiments and how certain elements of rockfall trajectories can be measured. The tests use acceleration and rotation sensors inside test blocks, a system to determine block positions over time, surveying measurements, and video recordings. All systems are evaluated regarding their usability in the field and for analyses. The highly detailed description of testing methods is the basis for sound understanding and reproducibility of the tests. This article serves as a reference for future publications and other rockfall field tests, both as a guide and as a basis for comparisons. First analyses deliver information on runout with a shadow angle ranging between 21 and 45 degrees for a slope consisting of homogeneous soft soil. A digital elevation model of the test site as well as point clouds of the used test blocks are part of this publication.

show abstract

Section: Introductionmentioning

confidence: 99%

Repetitive Rockfall Trajectory Testing

et al. 2018

View full text Add to dashboard Cite

show abstract

“…No clear distinction emerges from the reconstructed values of the different sites (Fig. 14) despite the different materials involved, as discussed in Ferrari et al (2016). The impacts for the Riou Bourdoux site (Hibert et al in review) involving limestone rocks and mainly soft black marl terrain material cannot be clearly distinguished from the others.…”

Section: (B) (A)mentioning

confidence: 92%

Highly energetic rockfalls: back analysis of the 2015 event from the Mel de la Niva, Switzerland

et al. 2023

View full text Add to dashboard Cite

Process-based rockfall simulation models attempt to better emulate rockfall dynamics to different degrees. As no model is perfect, their development is often accompanied and validated by the valuable collection of rockfall databases covering a range of site geometries, rock masses, velocities, and related energies that the models are designed for. Additionally, such rockfall data can serve as a base for assessing the model’s sensitivity to different parameters, evaluating their predictability and helping calibrate the model’s parameters from back calculation and analyses. As the involved rock volumes/masses increase, the complexity of conducting field-test experiments to build up rockfall databases increases to a point where such experiments become impracticable. To the author’s knowledge, none have reconstructed rockfall data in 3D from real events involving block fragments of approximately 500 metric tons. A back analysis of the 2015 Mel de la Niva rockfall event is performed in this paper, contributing to a novel documentation in terms of kinetic energy values, bounce heights, velocities, and 3D lateral deviations of these rare events involving block fragments of approximately 200 m3. Rockfall simulations are then performed on a “per-impact” basis to illustrate how the reconstructed data from the site can be used to validate results from simulation models.

show abstract

“…slope angle and roughness) from which an average (E 90,mean ) and a maximum (E 90,max ) value can be derived. Ferrari et al (2016) observed a linear relationship between E 90,mean and slope height (or vertical drop) h and derived, for each slope morphology, energy regression coefficients (ERC) ERC mean and ERC max whereby E 90,mean = ERC mean ×m×h and E 90,max = ERC max ×m×h. The values of ERC mean and ERC max for specific values of α and σ r are summarised in Figure 2.…”

Section: Bottom Impact Energymentioning

confidence: 99%

“…This first impact will be referred to herein as bottom impact. Full details of the sensitivity analysis can be found in Ferrari et al (2016). , 10, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60, 65, 70, 75, 80, 85, 90, 95, 100 Slope angle 55,60,65,70,75,80,85 Standard deviation of roughness 1,2,3,5,7,10,13,15,20 Normal restitution coefficient k n -0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0…”

Section: Introductionmentioning

confidence: 99%

Rockfall mitigation measures and design scenarios at the base of highwalls

Lambert¹,

Ferrari²,

Thoeni³

et al. 2016

Proceedings of the First Asia Pacific Slope Stability in Mining Conference

Self Cite

View full text Add to dashboard Cite

This paper proposes to discuss the efficiency of typical rockfall mitigation measures implemented in open cut environments and aims at providing geotechnical engineers and mining engineers with some guidance for preliminary rockfall hazard assessment and management strategies. Firstly, a semi-quantitative approach is presented. An extensive sensitivity analysis of rockfall trajectories to highwall geometry was performed. Relationships were derived to estimate the expected rockfall energies and first impact location at the base of the highwall. An example of how these relationships can be used for the preliminary design of a protective berm is presented. Secondly, the efficiency of unsecured drapery systems is investigated using a three-dimensional discrete element model. A wide range of rockfall scenarios were simulated to quantify the efficiency of draperies to reduce impact energies and constrain impact location close to the highwall. Implications for the design of underground entry portals and canopies are discussed where design requirements derived from the semi-quantitative approach are compared with examples of design scenarios currently used by practitioners. https://papers.acg.uwa.edu.au/p/1604_26_Lambert/ Rockfall mitigation measures and design scenarios at the base of highwalls C Lambert et al. 422 APSSIM 2016, Brisbane, Australia 2 Rockfall trajectories in open cuts 2.1 Sensitivity analysis The method is based on a two-dimensional (2D) sensitivity analysis, conducted by means of kinematic simulations based on probabilistic modelling of rockfall trajectories with RocFall® v4. The sensitivity analysis was carried out for a large range of input parameters and considering all possible combinations, in order to take into account the uncertainty associated with their estimated values.

show abstract

A rapid approach to estimate the rockfall energies and distances at the base of rock cliffs

Cited by 8 publications

References 33 publications

Repetitive Rockfall Trajectory Testing

Repetitive Rockfall Trajectory Testing

Highly energetic rockfalls: back analysis of the 2015 event from the Mel de la Niva, Switzerland

Rockfall mitigation measures and design scenarios at the base of highwalls

Contact Info

Product

Resources

About