Abstract

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 m2 and 289.3 m2. 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.

Highlights

  • Rockfall risk assessment and mitigation require data for the magnitude of previously or potentially mobilized rock masses from a slope

  • The use of the Gutenberg–Richter power law for the expression of the rockfall magnitude–frequency relation has been applied to a variety of rocky slopes and geological settings, in numerous and well-documented studies of natural slopes and rock cuts (Dussauge et al 2003; Guzzetti et al 2003)

  • This confirms the hypothesis argued by Corominas et al (2018), that the presence of the F1 and F7 restricts the extent of the F3 sliding surfaces and bounds the size of the slope failures

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Summary

Introduction

Rockfall risk assessment and mitigation require data for the magnitude of previously or potentially mobilized rock masses from a slope. Corominas techniques that find application from statistical physics and complexity theory to natural hazards, with the prevalence of the Gutenberg–Richter power law. In the latter, the probability p(x) of an event of magnitude x or greater occurring is given by the equation p(x) ~ x–b, where b is a constant (Malamud and Turcotte 2006; Malamud et al 2006). The use of the Gutenberg–Richter power law for the expression of the rockfall magnitude–frequency relation has been applied to a variety of rocky slopes and geological settings, in numerous and well-documented studies of natural slopes and rock cuts (Dussauge et al 2003; Guzzetti et al 2003). Power law relations have been indicated to fit well medium and large size landslides (Hungr et al 1999)

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