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Arabian Journal of Geosciences

, 12:569 | Cite as

Front velocity and deposition characteristics of debris avalanches using physical modeling test

  • Hailong Yang
  • Xiaoyi FanEmail author
  • Xiangjun Pei
Original Paper
  • 95 Downloads

Abstract

Physical modeling test was designed to study the effects of slope angle, released volume, and type of materials on the front velocity and deposition characteristics of debris avalanches. An improved empirical prediction model of front velocity was proposed for quantitatively describing the characteristic of front velocity according to staged motion feature of mass-front particles of debris avalanches. In view of the overall variation tendency of velocity curve, the calculated curves of the front velocity agree well with the experimental curves and the average error of the maximum velocity and average velocity are 5.72% and 4.34% respectively. The practicability of the empirical prediction of front velocity was further verified by carrying out 3 new groups of physical modeling test. With regard to the deposition characteristics, the change of deposit shape reflects the variation characteristic of deposit thickness along the median longitudinal section. The center-of-mass coordinate of deposit shape might be a useful indicator for quantitative analysis of the change of deposit shape. Finally, an empirical formula was also proposed for describing the mathematical relationships between center-of-mass coordinate of deposit shape and parameter indicators of the influence factors.

Keywords

Debris avalanches Front velocity Deposit thickness Deposit shape Center-of-mass coordinate 

Notes

Acknowledgments

We sincerely thank anonymous reviewers for their constructive and valuable suggestions, which help improving this manuscript substantially. In addition, we would also thank Zeng Yaohun for his support of the experimental data in this paper.

Funding information

This paper was supported by the National Key R&D Program of China (2017YFC1501002), the National Nature Science Foundation of China (41572302, 41877524), and the Opening fund of Shock and Vibration of Engineering Materials and Structures Key Laboratory of Sichuan Province (18kfgk10).

References

  1. Cagnoli B, Romano GP (2010a) Effect of grain size on mobility of dry granular flows of angular rock fragments: an experimental determination. J Volcanol Geotherm Res 193(1):18–24.  https://doi.org/10.1016/j.jvolgeores.2010.03.003 CrossRefGoogle Scholar
  2. Cagnoli B, Romano GP (2010b) Pressures at the base of dry flows of angular rock fragments as a function of grain size and flow volume: experimental results. J Volcanol Geotherm Res 196:236–244.  https://doi.org/10.1016/j.jvolgeores.2010.08.002 CrossRefGoogle Scholar
  3. Cagnoli B, Romano GP (2012) Effects of flow volume and grain size on mobility of dry granular flows of angular rock fragments: a functional relationship of scaling parameters. J Geophys Res Solid Earth 117:2207–2220.  https://doi.org/10.1029/2011JB008926 CrossRefGoogle Scholar
  4. Chen XZ (1994) Research on the strength of coarse grain soil and the interlocking force. Eng Mech 11(4):56–63. (in chinese)Google Scholar
  5. Chen RH, Kuo KJ, Chen YN, Ku CW (2011) Model tests for studying the failure mechanism of dry granular soil slopes. Eng Geol 119(1–2):51–63.  https://doi.org/10.1016/j.enggeo.2011.02.001 CrossRefGoogle Scholar
  6. Department of Mathematics of Tongji University (2007) Higher mathematics (Sixth Edition). Higher Education Press, Beijing. ISBN:978-7-04-020549-7. pp 169-171Google Scholar
  7. Fan XY, Tian SJ, Zhang YY (2016) Front velocity of dry granular flows influenced by the angle of the slope to the run-out plane and particle size gradation. J Mt Sci 13(2):234–245.  https://doi.org/10.1007/s11629-014-3396-3 CrossRefGoogle Scholar
  8. Farin M, Mangeney A, Roche O (2014) Fundamental changes of granular flow dynamics, deposition, and erosion processes at high slope angles: insights from laboratory experiments. J Geophys Res Earth Surf 119(3):504–532.  https://doi.org/10.1002/2013JF002750 CrossRefGoogle Scholar
  9. Gong Y (2014) Three axis test analysis of the liquefaction soil of Yigong Landslide. Dissertation. Southwest Jiaotong UniversityGoogle Scholar
  10. Guo DP, Hamada M, He C, Wang YF, Zou YL (2014) An empirical model for landslide travel distance prediction in Wenchuan earthquake area. Landslides 11:281–291.  https://doi.org/10.1007/s10346-013-0444-y CrossRefGoogle Scholar
  11. Huang RQ, Xu Q (2008) Catastrophic landslides in China. Science Press, Beijing, pp 125–129Google Scholar
  12. Huang Y, Zhang W, Xu Q, Xie P, Hao L (2012) Run-out analysis of flowlike landslides triggered by the Ms8.0 2008 Wenchuan earth-quake using smoothed particle hydrodynamics. Landslides 9:275–283.  https://doi.org/10.1007/s10346-011-0285-5 CrossRefGoogle Scholar
  13. Hutter K, Koch T (1991) Motion of a granular avalanche in an exponentially curved chute: experiments and theoretical predictions. Philos Trans R Soc Lond A 334(1633):93–138.  https://doi.org/10.1098/rsta.1991.0004 CrossRefGoogle Scholar
  14. Lo C, Lin M, Tang C, Hu J (2011) A kinematic model of the Hsiaolin landslide calibrated to the morphology of the landslide deposit. Eng Geol 123:22–39.  https://doi.org/10.1016/j.enggeo.2011.07.002 CrossRefGoogle Scholar
  15. Lu YP, Yang XG, Xu FG, Hou TX, Zhou JW (2016) An analysis of the entrainment effect of dry debris avalanches on loose bed materials. SpringerPlus 5:1621–1636.  https://doi.org/10.1186/s40064-016-3272-4 CrossRefGoogle Scholar
  16. Manzella I, Labiouse V (2009) Flow experiments with gravel and blocks at small scale to investigate parameters and mechanisms involved in rock avalanches. Eng Geol 109:146–158.  https://doi.org/10.1016/j.enggeo.2008.11.006 CrossRefGoogle Scholar
  17. Manzella I, Labiouse V (2013) Empirical and analytical analyses of laboratory granular flows to investigate debris avalanche propagation. Landslides 10(1):23–36.  https://doi.org/10.1007/s10346-011-0313-5 CrossRefGoogle Scholar
  18. Pudasaini SP, Hsiau SS, Wang YQ, Hutter C (2005) Velocity measurements in dry granular avalanches using particle image velocimetry technique and comparison with theoretical predictions. Phys Fluids 17(9):1–10.  https://doi.org/10.1063/1.2007487 CrossRefGoogle Scholar
  19. Scheidegger AE (1973) On the prediction of the reach and velocity of catastrophic landslides. Rock Mech Rock Eng 5(4):231–236.  https://doi.org/10.1016/0148-9062(74)91709-4 CrossRefGoogle Scholar
  20. Wang YF (2014) Experiment on the fluidization of debris avalanches under the effect of entrapped air. Dissertation. Southwest Jiaotong universityGoogle Scholar
  21. Wang YF, Xu Q, Cheng QG, Li Y, Zhang JC (2016) Experimental study on the propagation and deposit features of rock avalanche along 3D complex topography. J Rock Mech Eng 35(9):1776-1791.  https://doi.org/10.13722/j.cnki.jrme.2015.1575. (in chinese)
  22. Yang QQ, Cai F, Uguai K, Masao Y, Su ZM, Ahmed A, Huang RQ, Xu Q (2011) Some factors affecting the frontal velocity of rapid dry granular flows in a large flume. Eng Geol 122(3/4):249–260.  https://doi.org/10.1016/j.enggeo.2011.06.006 CrossRefGoogle Scholar
  23. Yang HL, Fan XY, Zhao YH, Wang HG (2017) Model tests on influence of deflection angle on the movement of landslide-debris avalanches. Mt Res 35(3):316-322.  https://doi.org/10.16089/j.cnki.1008-2786.000227. (in chinese)
  24. Zhan WW, Fan XM, Huang RQ, Pei XJ, Xu Q, Li WL (2017) Empirical prediction for travel distance of channelized rock avalanches in the Wenchuan earthquake area. Nat Hazards Earth Syst Sci 17(6):833–844.  https://doi.org/10.5194/nhess-17-833-2017 CrossRefGoogle Scholar
  25. Zhang M, Yin Y, McSaveney M (2016) Dynamics of the 2008 earthquake-triggered Wenjiagou Creek rock avalanche, Qingping, Sichuan, China. Eng Geol 200:75–87.  https://doi.org/10.1016/j.enggeo.2015.12.008 CrossRefGoogle Scholar
  26. Zhou JW, Cui P, Fang H (2013) Dynamic process analysis for the formation of Yangjiagou landslide-dammed lake triggered by the Wenchuan earthquake, China. Landslides 10(3):331-342.  https://doi.org/10.1007/s10346-013-0387-3 CrossRefGoogle Scholar
  27. Zhou JW, Huang KX, Shi C, Hao MH, Guo CX (2015) Discrete element modeling of the mass movement and loose material supplying the gully process of a debris avalanche in the Bayi gully, Southwest China. J Asian Earth Sci 99:95–111.  https://doi.org/10.1016/j.jseaes.2014.12.008 CrossRefGoogle Scholar
  28. Zhou JW, Xu FG, Guo CX (2016) Effects of model parameters, topography, and scale on the mass movement processes of debris avalanches using the discrete element method. Arab J Geosci 9:418–432.  https://doi.org/10.1007/s12517-016-2441-7 CrossRefGoogle Scholar

Copyright information

© Saudi Society for Geosciences 2019

Authors and Affiliations

  1. 1.State Key Laboratory of Geohazard Prevention and Geoenvironment ProtectionChengdu University of TechnologyChengduChina
  2. 2.Shock and Vibration of Engineering Materials and Structures Key Laboratory of Sichuan ProvinceMianyangChina
  3. 3.School of Civil Engineering and ArchitectureSouthwest University of Science and TechnologyMianyangChina

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