Abstract

The in situ block size distribution is an essential characteristic of fractured rock masses and impacts the assessment of rockfall hazards and other fields of rock mechanics. The block size distribution can be estimated rather easily for fully persistent fractures, but it is a challenge to determine this parameter when non-persistent fractures in a rock mass should be considered. In many approaches, the block size distribution is estimated by assuming that the fractures are fully persistent, resulting in an underestimation of the block sizes for many fracture geometries. In addition, the block size distribution is influenced by intact rock bridge failure, especially in rock masses with non-persistent fractures, either in a short-term perspective during a slope failure event when the rock mass increasingly disintegrates or in a long-term view when the rock mass progressively weakens. The quantification of intact rock bridge failure in a rock mass is highly complex, comprising fracture coalescence and crack growth driven by time-dependent changes of the in situ stresses due to thermal, freezing-thawing, and pore water pressure fluctuations. This contribution presents stochastic analyses of the two-dimensional in situ block area distribution and the mean block area of non-persistent fracture networks. The applied 2D discrete fracture network approach takes into account the potential failure of intact rock bridges based on a pre-defined threshold length and relies on input parameters that can be easily measured in the field by classical discontinuity mapping methods (e.g., scanline mapping). In addition, on the basis of these discrete fracture network analyses, an empirical relationship was determined between (i) the mean block area for persistent fractures, (ii) the mean block area for non-persistent fractures, and (iii) the mean interconnectivity factor. The further adaptation of this 2D approach to 3D block geometries is discussed on the basis of general considerations. The calculations carried out in this contribution highlight the large impact of non-persistent fractures and intact rock bridge failure for rock mass characterization, e.g., rockfall assessment.

Highlights

  • Rockfalls and rock avalanches are natural hazards in mountainous regions

  • Rockfalls are classified as types of rock slope failure characterized by the detachment of single or clusters of individual rock blocks from a steep slope followed by a rapid down-slope motion by falling, bouncing, rolling and sliding [2,3]

  • There is no distinct boundary between rock avalanches and rockfalls, but rather a gradual transition influenced by the rock type, structural setting, rock fragmentation, substrate properties, and slope topography of the runout path

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Summary

Introduction

Rockfalls and rock avalanches are natural hazards in mountainous regions They can cause severe damage to settlements and infrastructure as well as serious injuries and fatalities due to their extremely high velocities and runout distances [1]. Rock avalanches are moving in a flow-like manner as masses of fragments that have a strong dynamic interaction of blocks [1]. Many of these events, the large ones, show unexpected long runout distances. For rock avalanches, single or clusters of blocks can separate during motion from the flowing mass resulting in movements of individual fragments like rockfall events

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