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μ(J)-Rheology-based depth-averaged dynamic model for roll waves in granular–fluid avalanches
Jianbo Fei1,2,3; Huabin Shi4,5; Yuxin Jie6; Bingyin Zhang6
2023-03-24
Source PublicationApplied Mathematical Modelling
ISSN0307-904X
Volume119Pages:763-781
Abstract

A depth-averaged two-dimensional mathematical model of granular-fluid avalanches is proposed based on the μ(J) rheology. In the model, a depth-averaged deviatoric viscous stress of granular-fluid mixture is formulated and the corresponding depth-integration term is linearly proportional to the flow depth, which is different from the 1.5th-power law for dry granular avalanches. A basal resistance on the granular-fluid mixture, composed of a Coulomb friction term and a viscous shear term, is adopted in the model. Based on the model, a critical Froude number of 1/2 is obtained for the linear instability of steady-uniform granular-fluid mixture flows. The model is capable of capturing the cutoff frequency for the spatial growth rate of perturbation in the mixture flows. The proposed model is applied to simulate the evolution of imposed perturbations in steady granularfluid avalanches on an inclined chute. The intensification of imposed perturbations and the generation of final stable roll waves are captured. A parameter sensitivity analysis is conducted to investigate the effects of the depth-averaged in-plane deviatoric viscous stress and the basal resistance on the final stable roll waves. Further, a preliminary analytical solution for the crest/trough heights of the stable roll waves is proposed to verify the numerical findings.

KeywordGranular-fluid Avalanche Roll Wave Depth-averaged Model μ(j) Rheology
DOI10.1016/j.apm.2023.03.023
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaEngineering ; Mathematics ; Mechanics
WOS SubjectEngineering, Multidisciplinary ; Mathematics, Interdisciplinary Applications ; Mechanics
WOS IDWOS:000971581200001
PublisherELSEVIER SCIENCE INC, STE 800, 230 PARK AVE, NEW YORK, NY 10169
Scopus ID2-s2.0-85151270089
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Citation statistics
Document TypeJournal article
CollectionDEPARTMENT OF OCEAN SCIENCE AND TECHNOLOGY
THE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU)
Corresponding AuthorHuabin Shi
Affiliation1.Key Laboratory of Coastal Urban Resilient Infrastructures (MOE), Shenzhen University, Shenzhen 518060, China
2.Shenzhen Key Laboratory of Green, Efficient and Intelligent Construction of Underground Metro Station, Shenzhen 518060, China
3.College of Civil and Transportation Engineering, Shenzhen University, Shenzhen 518060, China
4.State Key Laboratory of Internet of Things for Smart City and Department of Ocean Science and Technology, University of Macau, Macao, China
5.Center for Ocean Research in Hong Kong and Macau (CORE), Hong Kong University of Science and Technology, Hong Kong, China
6.State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing 100084, China
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Jianbo Fei,Huabin Shi,Yuxin Jie,et al. μ(J)-Rheology-based depth-averaged dynamic model for roll waves in granular–fluid avalanches[J]. Applied Mathematical Modelling, 2023, 119, 763-781.
APA Jianbo Fei., Huabin Shi., Yuxin Jie., & Bingyin Zhang (2023). μ(J)-Rheology-based depth-averaged dynamic model for roll waves in granular–fluid avalanches. Applied Mathematical Modelling, 119, 763-781.
MLA Jianbo Fei,et al."μ(J)-Rheology-based depth-averaged dynamic model for roll waves in granular–fluid avalanches".Applied Mathematical Modelling 119(2023):763-781.
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