Rockfall Hazard Analysis From Discrete Fracture Network Modelling with Finite Persistence Discontinuities

Lambert, Cédric; Thoeni, Klaus; Giacomini, A.; Casagrande, D.; Sloan, Scott W.

doi:10.1007/s00603-012-0250-1

Cited by 24 publications

(23 citation statements)

References 34 publications

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“…Despite this, size distributions of rocks are rarely used in the modeling of rockfall trajectories. Indeed, some case studies involving size distributions of rocks (e.g., Lambert et al 2012;Spadari et al 2013;Macciotta et al 2014) do not directly use size distributions for randomly sampling rock size in probabilistic modeling. This suggests that a systematic criterion is still not adopted by most probabilistic models of and modeling works on rockfall trajectories.…”

Section: Systematic Probabilistic Modelingmentioning

confidence: 99%

Probabilistic modeling of rockfall trajectories: a review

Lan

2015

Bull Eng Geol Environ

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Probabilistic approaches are widely adopted for the modeling of rockfall trajectories, but are not widely discussed in the literature. This paper aims to help fill this gap by reviewing probabilistic models of rockfall trajectories, while providing some perspectives for future study. We first make it clear that, from a theoretical point of view, the probabilistic approach is necessitated by both the ontic (inherent) uncertainty associated with rockfalls and the epistemic (information) uncertainty associated with numerical modeling. The review suggests that there may be the potential to improve the probabilistic modeling of rockfall trajectories in various aspects, including the systematic probabilistic modeling criterion, the random sampling approaches employed for probabilistic variables, the probabilistic modeling of rock shape, and the probabilistic prediction of rockfall intensity. However, there are still some open questions regarding the promotion of probabilistic modeling in practice. It is not clear whether probabilistically treating all of the variables of rockfall trajectory model with reasoned distributions will lead to significantly improved results, or whether the improvements will be great enough (given the difficulties and costs involved) that it is worth quantifying all of the uncertainties involved in rockfall trajectory modeling. The answers to these questions can be found in the practice of probabilistic modeling itself.

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Section: Systematic Probabilistic Modelingmentioning

confidence: 99%

Probabilistic modeling of rockfall trajectories: a review

Lan

2015

Bull Eng Geol Environ

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“…For validation purposes, rockfall trajectory simulations were performed on one section of the highwall (Figure 7). The RocFall® model of the highwall described in Lambert et al (2012) was used. The 2D slope profile was obtained from high definition 3D digital images, such that no additional roughness is required for trajectory simulations and coefficients of restitution, normal and tangential, for each lithology were computed from 3D trajectories recorded during in situ rockfall experiments performed at the site (Giacomini et al 2012b).…”

Section: Figure 6 View Of the Highwallmentioning

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

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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.

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“…The rockfall size has been associated with the properties of the rock mass discontinuities that bound blocks of intact rock mass, and define detachable rock masses, and in particular with their spacing (Palmstrom 2005;Lambert et al 2012;Ferrero et al 2011). Elmouttie and Poropat (2012) used discontinuity fracture networks to study how variations of discontinuity spacing and orientation affect the block size.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Maximum Rockfall Dimensions Based on Probabilistic Assessment of the Penetration of the Sliding Planes into the Slope

Mavrouli

Corominas

2020

Rock Mech Rock Eng

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There is intrinsic difficulty in the investigation of the largest volume of rockfalls that is expected in an area, which lies in the small number of large events, in registrable times. The maximum credible rockfall size has been associated with the properties of the rock mass discontinuities, as they delimit detachable rock blocks, and in particular with the penetration of those discontinuities that comprise rockfall sliding planes. In highly fractured rock masses, the evaluation of the penetration remains an issue. A probabilistic methodology is proposed, to measure the penetration of potential sliding planes into the interior of a rocky slope. The main hypothesis of the method is that the sliding plane persistence is interrupted along its two directions, at the intersection with two lateral discontinuity sets, as the latter displaces the former. Due to the displacement, the sliding planes are formed by quasi-planes that contain a maximum number of spacings of the intersecting joints, hence their size is restricted. The methodology requires as an input the spacing of the intersecting joint sets. Its application to a granodiorite slope confirms that for the study site, there is a maximum volume of rockfalls, excluding the possibility of large stepped failures and rupture of rock bridges. The maximum calculated persistence for the two existing sliding planes in the study site is, respectively, 28.0 m and 48.5 m. The maximum calculated sliding plane surfaces are, accordingly, 282.5 m 2 and 289.3 m 2 . These results are compared against the observed scar dimensions at the study site, which have been retrieved alternatively, by processing a LiDAR point cloud. The results from the two alternative sources are similar, indicating that the methodology can be efficiently used to assess the sliding plane persistence and the expected maximum rockfall magnitude at the study site.

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Rockfall Hazard Analysis From Discrete Fracture Network Modelling with Finite Persistence Discontinuities

Cited by 24 publications

References 34 publications

Probabilistic modeling of rockfall trajectories: a review

Probabilistic modeling of rockfall trajectories: a review

Rockfall mitigation measures and design scenarios at the base of highwalls

Evaluation of Maximum Rockfall Dimensions Based on Probabilistic Assessment of the Penetration of the Sliding Planes into the Slope

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