Erosion and Transport of Dry Soil Bed by Collisional Granular Flow: Insights From a Combined Experimental–Numerical Investigation

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autoren

  • Yupeng Jiang
  • Pengjia Song
  • Clarence E. Choi
  • Jinhyun Choo

Externe Organisationen

  • University of Hong Kong
  • Korea Advanced Institute of Science and Technology (KAIST)
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Aufsatznummere2023JF007073
Seitenumfang20
FachzeitschriftJournal of Geophysical Research: Earth Surface
Jahrgang128
Ausgabenummer9
Frühes Online-Datum4 Sept. 2023
PublikationsstatusVeröffentlicht - 9 Sept. 2023

Abstract

Collision-induced stresses on soil beds under granular geophysical flows have been demonstrated to be highly erosive. However, it remains mostly elusive as to how a collisional granular flow erodes and transports soil bed material. This paper presents a combined experimental and numerical investigation into the mechanisms underlying collision-induced erosion and transport of dry soil beds. A series of flume experiments are conducted where collisional granular flows erode dry sand beds under varied conditions. The experiments are then back-analyzed using a hybrid continuum–discrete simulator to gain physical insight into the erosion and transport processes. Results show that the key mechanism of collision-induced erosion and transport is the retexturing of the soil bed surface. This implies that bed morphology, which has often been overlooked in mobility and hazard assessments, has profound effects on erosion and transport potential. Further, contrary to most existing models that assume all the eroded bed volume is carried away by granular flow, it is found that only up to 80% of the eroded material is transported. Also found is that the collisional stresses of the monodisperse grains in this study follow the Pareto distribution in which 80% of differences in the outcomes are due to 20% of causes. This finding suggests that there is measurable certainness in a seemingly random process of coarse grain collisions with an erodible soil bed.

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Erosion and Transport of Dry Soil Bed by Collisional Granular Flow: Insights From a Combined Experimental–Numerical Investigation. / Jiang, Yupeng; Song, Pengjia; Choi, Clarence E. et al.
in: Journal of Geophysical Research: Earth Surface, Jahrgang 128, Nr. 9, e2023JF007073, 09.09.2023.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

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abstract = "Collision-induced stresses on soil beds under granular geophysical flows have been demonstrated to be highly erosive. However, it remains mostly elusive as to how a collisional granular flow erodes and transports soil bed material. This paper presents a combined experimental and numerical investigation into the mechanisms underlying collision-induced erosion and transport of dry soil beds. A series of flume experiments are conducted where collisional granular flows erode dry sand beds under varied conditions. The experiments are then back-analyzed using a hybrid continuum–discrete simulator to gain physical insight into the erosion and transport processes. Results show that the key mechanism of collision-induced erosion and transport is the retexturing of the soil bed surface. This implies that bed morphology, which has often been overlooked in mobility and hazard assessments, has profound effects on erosion and transport potential. Further, contrary to most existing models that assume all the eroded bed volume is carried away by granular flow, it is found that only up to 80% of the eroded material is transported. Also found is that the collisional stresses of the monodisperse grains in this study follow the Pareto distribution in which 80% of differences in the outcomes are due to 20% of causes. This finding suggests that there is measurable certainness in a seemingly random process of coarse grain collisions with an erodible soil bed.",
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Download

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T1 - Erosion and Transport of Dry Soil Bed by Collisional Granular Flow

T2 - Insights From a Combined Experimental–Numerical Investigation

AU - Jiang, Yupeng

AU - Song, Pengjia

AU - Choi, Clarence E.

AU - Choo, Jinhyun

N1 - Funding Information: The authors are grateful for the financial support from General Research Fund Grant 16210219 provided by the Research Grants Council of Hong Kong.

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