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

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Abstract

Developing an accurate representation of the rock mass fabric is a key element in rock fall hazard analysis. The orientation, persistence and density of fractures control the volume and shape of unstable blocks or compartments. In this study, the discrete fracture modelling technique and digital photogrammetry were used to accurately depict the fabric. A volume distribution of unstable blocks was derived combining polyhedral modelling and kinematic analyses. For each block size, probabilities of failure and probabilities of propagation were calculated. A complete energy distribution was obtained by considering, for each block size, its occurrence in the rock mass, its probability of falling, its probability to reach a given location, and the resulting distribution of energies at each location. This distribution was then used with an energy–frequency diagram to assess the hazard.

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Abbreviations

d max :

Maximum joint diameter

E :

Kinetic energy

g(x):

Probability density function for joint diameters

k :

Shape factor of the block

h :

Height of highwall

l :

Length of highwall

\( \lambda\) :

Shape parameter for the exponential diameter distribution

\( \lambda_{\rm E}\) :

Global kinetic energy frequency distribution

\( \lambda_{\rm E^i} \) :

Kinetic energy frequency distribution for a given rock mass volume

\( \lambda_{\rm f} \) :

Rock mass mean failure frequency

\( \lambda_{\rm f^i} \) :

Failure frequency of a given rock mass volume

\( \lambda_{\rm fst} \) :

Spatial-temporal rockfall failure frequency

\(\lambda_{\rm P} \left(\rm E, x \right)\) :

Frequency of energy occurence at a given location

\(\mu\) :

Shape parameter for the log-normal diameter distribution

P s :

Probability of propagation

P r :

Probability of reach

\( \sigma \) :

Shape parameter for the log-normal diameter distribution

Tfi :

Return period for a rockfall event of a given rock mass volume

V :

Volume of block

V max :

Maximum volume of block

V min :

Minimum volume of block

w :

Width of block

x :

Horizontal position along slope profile

References

  • Abbruzzese JM, Sauthier C, Labiouse V (2009) Considerations on swiss methodologies for rock fall hazard mapping based on trajectory modelling. Nat Hazards Earth Syst Sci 9(4):1095–1109

    Article  Google Scholar 

  • Alejano L, Stockhausen H, Alonso E, Bastante F, Ramírez Oyanguren P (2008) Rofraq: a statistics-based empirical method for assessing accident risk from rockfalls in quarries. Int J Rock Mech Min Sci 45(8):1252–1272

    Article  Google Scholar 

  • Chen SH, Wang GJ, Zhou H, Wang WM, Zou LC (2012) Evaluation of excavation-induced relaxation and its application to an arch dam foundation. Int J Numer Anal Methods Geomech 36:166–182

    Article  Google Scholar 

  • Corominas J, Copons R, Moya J, Vilaplana J, Altimir J, Amigo J (2005) Quantitative assessment of the residual risk in a rockfall protected area. Landslides 2:343–357

    Article  Google Scholar 

  • Crosta GB, Agliardi F (2003) A methodology for physically based rockfall hazard assessment. Nat Hazards Earth Syst Sci 3(5):407–422

    Article  Google Scholar 

  • Decker J, Mauldon M, Dunner W, Heiny C (2006) Determining size and shape of fractures from trace data using a differential evolution algorithm. In: Yale D, Holtz S, Breeds C, Ozbay U (eds) Proceedings of the 41st US Rock Mechanics Symposium, ARMA

  • Dussauge-Peisser C, Helmstetter A, Grasso JR, Hantz D, Desvarreux P, Jeannin M, Giraud A (2002) Probabilistic approach to rock fall hazard assessment: potential of historical data analysis. Nat Hazards Earth Syst Sci 2(1/2):15–26

    Article  Google Scholar 

  • Elmouttie M, Poropat G (2011) A method to estimate in situ block size distribution. Rock Mech Rock Eng 37:529–535

    Google Scholar 

  • Elmouttie M, Poropat G, Krähenbühl G (2010a) Polyhedral modeling of rock mass structure. Int J Rock Mech Min Sci 47:544–552

    Article  Google Scholar 

  • Elmouttie M, Poropat G, Krähenbühl G (2010b) Polyhedral modeling of underground excavations. Comput Geotech 37:529–535

    Article  Google Scholar 

  • Ferrero A, Migliazza M, Roncella R, Rabbi E (2011a) Rock slopes risk assessment based on advanced geostructural survey techniques. Landslides 8:221–231

    Article  Google Scholar 

  • Ferrero A, Migliazza M, Roncella R, Segalini A (2011b) Rock cliffs hazard analysis based on remote geostructural surveys: the Campione del Garda case study (Lake Garda, northern Italy). Geomorphology 125(4):457–471

    Article  Google Scholar 

  • Giacomini A, Thoeni K, Lambert C (2012) Experimental study on rockfall drapery systems for open pit highwalls. Int J Rock Mech Min Sci (in preparation)

  • Goodman R (1985) Block theory and its application to rock engineering. Prentice-Hall, Englewood Cliffs, NJ

  • Guzzetti F, Reichenbach P, Wieczorek GF (2003) Rockfall hazard and risk assessment in the yosemite valley, California, USA. Nat Hazards Earth Syst Sci 3(6):491–503

    Article  Google Scholar 

  • Haneberg W (2008) Using close range terrestrial digital photogrammetry for 3-d rock slope modeling and discontinuity mapping in the united states. Bull Eng Geol Environ 67(4):457–469

    Article  Google Scholar 

  • Hantz D (2011) Quantitative assessment of diffuse rock fall hazard along a cliff foot. Nat Hazards Earth Syst Sci 11(5):1303–1309

    Article  Google Scholar 

  • Hantz D, Vengeon JM, Dussauge-Peisser C (2003) An historical, geomechanical and probabilistic approach to rock-fall hazard assessment. Nat Hazards Earth Syst Sci 3(6):693–701

    Article  Google Scholar 

  • Hungr O, Evans SG, Hazzard J (1999) Magnitude and frequency of rock falls and rock slides along the main transportation corridors of southwestern British Columbia. Can Geotech J 36(2):224–238

    Article  Google Scholar 

  • Jaboyedoff M (2005) An attempt to refine rockfall hazard zoning based on the kinetic energy, frequency and fragmentation degree. Nat Hazards Earth Syst Sci 5:621–632

    Article  Google Scholar 

  • Kalenchuk KS, Diederichs MS, McKinnon S (2006) Characterizing block geometry in jointed rock masses. Int J Rock Mech Min Sci 43(8):1212–1225

    Article  Google Scholar 

  • Lyman G (2003a) Rock fracture mean trace length estimation and confidence interval calculation using maximum likelihood methods. Int J Rock Mech Min Sci 40(6):825–832

    Article  Google Scholar 

  • Lyman G (2003b) Stereological and other methods applied to rock joint size estimation—does Crofton’s theorem apply. Math Geol 35(1):9–23

    Article  Google Scholar 

  • Mauldon M (1998) Estimating mean fracture trace length and density from observations in convex windows. Rock Mech Rock Eng 31:201–216

    Article  Google Scholar 

  • Peila D, Patrucco M, Falanesca M (2011) Quantification and management of rockfall risk in opencast quarrying activities. Environ Eng Geosci 17(1):39–51

    Article  Google Scholar 

  • Pierson L, Davis S, van Vickle R (1993) The rockfall hazard rating system implementation manual. Technical report, Oregon State Highway Division

  • Rohrbaugh MB, Dunne WM, Mauldon M (2002) Estimating fracture trace intensity, density, and mean length using circular scan lines and windows. AAPG Bulletin 86(12):2089–2104

    Google Scholar 

  • Sheng Q, Yue Z, Lee C, Tham L, Zhou H (2002) Estimating the excavation disturbed zone in the permanent shiplock slopes of the Three Gorges Project, China. Int J Rock Mech Min Sci 39(2):165–184

    Article  Google Scholar 

  • Song JJ, Lee CI (2001) Estimation of joint length distribution using window sampling. Int J Rock Mech Min Sci 38(4):519–528

    Article  Google Scholar 

  • Sturzenegger M, Stead D (2009) Close-range terrestrial digital photogrammetry and terrestrial laser scanning for discontinuity characterization on rock cuts. Eng Geol 106(3–4):163–182

    Article  Google Scholar 

  • Sturzenegger M, Stead D, Elmo D (2011) Terrestrial remote sensing-based estimation of mean trace length, trace intensity and block size/shape. Eng Geol 119(3-4):96–111

    Article  Google Scholar 

  • Thoeni K, Giacomini A, Sloan S, Lambert C, Casagrande D (2011) Numerical analysis of rockfall hazard in open pit coal mines. In: Khalili N, Oeser M (eds) Computer methods for geomechanics: frontiers and new application, Centre for Infrastructure Engineering and Safety, 13th international conference of the IACMAG 2011, vol 2, pp 1151–1156

  • Tonon F, Chen S (2007) Closed-form and numerical solutions for the probability distribution function of fracture diameters. Int J Rock Mech Min Sci 44:332–350

    Article  Google Scholar 

  • Warburton P (1980) Stereological interpretation of joint trace data. Int J Rock Mech Min Sci 17(4):181–190

    Article  Google Scholar 

  • Wu F, Liu J, Liu T, Zhuang H, Yan C (2009) A method for assessment of excavation damaged zone (EDZ) of a rock mass and its application to a dam foundation case. Eng Geol 104:254–262

    Article  Google Scholar 

  • Wu Q, Kulatilake P, Tang Hm (2011) Comparison of rock discontinuity mean trace length and density estimation methods using discontinuity data from an outcrop in Wenchuan area, China. Comput Geotech 38(2):258–268

    Article  Google Scholar 

  • Zhang L, Einstein H (1998) Estimating the mean trace length of rock discontinuities. Rock Mech Rock Eng 31:217–235

    Article  Google Scholar 

  • Zhang L, Einstein H (2010) The planar shape of rock joints. Rock Mech Rock Eng 43:55–68

    Article  Google Scholar 

  • Zhang L, Einstein H, Dershowitz W (2002) Stereological relationship between trace length and size distribution of elliptical fractures. Geotechnique 52:419–433

    Article  Google Scholar 

Download references

Acknowledgments

The financial support of the Australian Coal Association Research Program (ACARP) is greatly acknowledged. The technical support from mine personnel and Marc Elmouttie (CSIRO) were greatly appreciated. The financial support of the Australian Research Council provided to the Newcastle authors is also acknowledged.

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Correspondence to Cédric Lambert.

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Lambert, C., Thoeni, K., Giacomini, A. et al. Rockfall Hazard Analysis From Discrete Fracture Network Modelling with Finite Persistence Discontinuities. Rock Mech Rock Eng 45, 871–884 (2012). https://doi.org/10.1007/s00603-012-0250-1

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  • DOI: https://doi.org/10.1007/s00603-012-0250-1

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