Probabilistic approach for design optimization of rockfall protective barriers

Paronuzzi, Paolo

doi:10.1144/gsl.qjeg.1989.022.03.02

Cited by 41 publications

(17 citation statements)

References 3 publications

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“…It is desirable that new research should take place by coupling trajectographical analysis with mechanical modelling of the impact between boulders and barriers; Paronuzzi [15]. The modelling of rockfalls in interaction with any obstacles (forest stands, barriers, buildings, etc.)…”

Section: Resultsmentioning

confidence: 99%

From a constitutive modelling of metallic rings to the design of rockfall restraining nets

Nicot¹,

Cambou

Mazzoleni

2000

Int. J. Numer. Anal. Meth. Geomech.

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SUMMARYThis paper considers recent contributions concerning metallic structures designed to stop rockfalls. These structures are composed of metallic nets generally made with anti-submarine rings. Both the singular technology and the spatial array of the rings confer outstanding mechanical properties to the net sheets, which are used today in order to control rockfall trajectories. A spatial description of the net is proposed, and a constitutive modelling in "nite strains is presented. The proposed modelling is based on both the experimental and analytical approaches. But the main feature of this modelling is that the local behaviour of the net can be described in the usual framework of elasto-plasticity. Mechanical analysis of each material body has been carried out, but the complexity of the resulting system imposed the building of a numerical scheme. Finally, this research has led to the development of original computational software, for both industrial and academic purposes. In order to give a clear indication of the capacity of both the modelling and the computational software, a typical example of a simulation is proposed and discussed.

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Section: Resultsmentioning

confidence: 99%

From a constitutive modelling of metallic rings to the design of rockfall restraining nets

Nicot¹,

Cambou

Mazzoleni

2000

Int. J. Numer. Anal. Meth. Geomech.

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“…SASS (Bozzolo and Pamini 1986) implements a probabilistic approach by starting rocks in random positions within a predefined area with random initial and boundary conditions, and randomly varying the local slope angles within predefined ranges. In a probabilistic block propagation model, the shock restitution coefficient and the initial rebound angle are treated as random variables (Paronuzzi 1989). In GeoFall (Ashfield 2001), pseudo-random values that have a uniform probability are used to vary the values of the coefficients of restitution and the slope angle.…”

Section: Other 2d Modelsmentioning

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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“…In particular, the characterisation of the spatial distributions of the parameters required for rebound calculation generally result from a field survey which, for practical reasons, cannot be exhaustive. Stochastic approaches have therefore been proposed (Paronuzzi, 1989;Pfeiffer and Bowen, 1989;Dudt and Heidenreich, 2001;Guzzetti et al, 2002;Agliardi and Crosta, 2003;Jaboyedoff et al, 2005;Bourrier et al, 2007Bourrier et al, , 2008bFrattini et al, 2008) to account for the variability of the rebound. Most of these approaches are based on two parameters, both called restitution coefficients, which proved to partially represent the complexity of the rebound (Wu, 1985;Bozzolo and Pamini, 1986;Chau et al, 1998;Ushiro et al, 2000;Chau et al, 2002;Heidenreich, 2004).…”

Section: Introductionmentioning

confidence: 99%

Toward objective rockfall trajectory simulation using a stochastic impact model

et al. 2009

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The accuracy of rockfall trajectory simulations depends to a large extent on the calculation of the rebound of falling boulders on different parts of a slope where rockfalls could occur. The models commonly used for rebound calculation are based on restitution coefficients, which can only be calibrated subjectively in the field. To come up with a robust and objective procedure for rebound calculation, a stochastic impact model associated with an objective field data collection method was developed and tested in this study. The aims of this work were to assess the adequacy of this approach and to evaluate the minimum amount of field data required to obtain simulation results with a satisfactory level of predictability. To achieve these objectives, the rebound calculation procedure developed was integrated into a three-dimensional rockfall simulation model, and the simulated results were compared with those obtained from field rockfall experiments. For rocky slopes, the simulations satisfactorily predict the experimental results. This approach is advantageous because it combines precise modelling of the mechanisms involved in the rebound and of their related variability with an objective field data collection procedure which basically only requires collecting the mean size of soil rocks. The approach proposed in this study therefore constitutes an excellent basis for the objective probabilistic assessment of rockfall hazard

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Probabilistic approach for design optimization of rockfall protective barriers

Cited by 41 publications

References 3 publications

From a constitutive modelling of metallic rings to the design of rockfall restraining nets

From a constitutive modelling of metallic rings to the design of rockfall restraining nets

Probabilistic modeling of rockfall trajectories: a review

Toward objective rockfall trajectory simulation using a stochastic impact model

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