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PIERRE 2: A STOCHASTIC ROCK FALL SIMULATOR – DEVELOPMENT, CALIBRATION AND APPLICATIONS
Session: Landslides and Slope Stability II / Mouvements de terrain et stabilité des pentes II
Andrew Mitchell, University of British Columbia (Canada)
Oldrich Hungr, University of British Columbia (Canada)
Computer models have become standard in assessing the hazards posed by rock falls, with a wide variety of models currently available. The PIERRE 2 model, presented here, returns to a simplified lumped-mass model assuming collinear impact conditions. The natural variability of rock falls is represented using: • A stochastic roughness angle applied to the slope; • Hyperbolic restitution factors to define the conservation of momentum; and, • A stochastic shape factor, used to vary the sphere dimensions at impact. Impact mechanics theory was used as the basis for these features. Their validity is demonstrated through extensive 2D and 3D model calibration for 5 distinct sites. The calibration was directed to optimal simulation of rock fall behaviour in multiple dimensions, including runout distance, jump height and both linear and rotational velocity. The focus of the model development was to produce accurate statistical distributions of the outputs for hazard assessments with limited site information.
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