2022
DOI: 10.5194/se-13-1631-2022
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Effect of structural setting of source volume on rock avalanche mobility and deposit morphology

Abstract: Abstract. Deposit morphologies and sedimentary characteristics are methods for investigating rock avalanches. The characteristics of structural geology of source volume, namely the in-place rock mass structure, will influence these two deposit characteristics and rock avalanche mobility. In this study, a series of experiments were conducted by setting different initial configurations of blocks to simulate different characteristics of structural geology of source volume, specifically including the long axis of … Show more

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Cited by 6 publications
(2 citation statements)
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“…There is no side constrains to the boundary conditions of this study. At 60°, the sliding mass can perform more discernable kinematic parameters from our previous studies (Duan et al, 2021;Duan et al, 2022a;Duan et al, 2022b;Li et al, 2021a), which is the reason for the choice of such a slope angle. In our preexperiments, the erodible layer can not be penetrated completely at 24mm thickness, and the deposit boundary is clearer at 3.6×10 − 3 m 3 .…”
Section: Limitations Of Laboratory Testingmentioning
confidence: 90%
“…There is no side constrains to the boundary conditions of this study. At 60°, the sliding mass can perform more discernable kinematic parameters from our previous studies (Duan et al, 2021;Duan et al, 2022a;Duan et al, 2022b;Li et al, 2021a), which is the reason for the choice of such a slope angle. In our preexperiments, the erodible layer can not be penetrated completely at 24mm thickness, and the deposit boundary is clearer at 3.6×10 − 3 m 3 .…”
Section: Limitations Of Laboratory Testingmentioning
confidence: 90%
“…The received NIR data are transformed into 3D cloud data of the surface morphology. The 3D data are produced according to the principles of stereoscopic parallax and active triangular ranging 13 , 14 , 36 . Two high-speed cameras (60 frames/s, 0.4-megapixel resolution) are used to collect images at the end of each experiment.…”
Section: Methodsmentioning
confidence: 99%