中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Influence mechanism of rigid retaining wall on the deposition form of dry granular flow: insights from discrete element method

文献类型:期刊论文

作者Shang, Yuqi2,3; Liu, Yang1; Liu, Jinfeng3; Sun, Hao3; You, Yong3; Zhang, Wentao2,3; Yang, Huaquan2,3
刊名COMPUTATIONAL PARTICLE MECHANICS
出版日期2025-06-04
页码20
关键词Dry granular flow Particle composition Retaining wall Deposition form Numerical simulation
ISSN号2196-4378
DOI10.1007/s40571-025-00977-2
英文摘要

Dry granular flow, a unique sediment gravity flow with plastic rheological properties and laminar flow state, is common in mountainous areas and causes significant damage. Retaining walls are crucial for mitigating debris flow damage, but accurately determining their impact on morphological characteristics is challenging. This paper establishes a numerical simulation model using the discrete element method (DEM) to study the influence of retaining walls on debris flow deposition morphology. Model parameters are calibrated against physical model tests to ensure similarity. This paper will introduce the grain size distribution parameters mu and Dc to represent the content of fine particles and coarse particles, respectively, in order to characterize the granular composition of dry granular flow. Research results show that Dc is closely related to deposition morphology parameters, with longitudinal deposition length and width increasing and maximum deposition thickness decreasing with larger Dc. Retaining wall position significantly affects deposition morphology, with longer and wider deposition as distance increases but thinner deposition. Based on these findings, this paper proposes calculation methods for characteristic parameters under natural conditions and restrained by retaining walls. It reveals the influence mechanism of retaining wall position on deposition morphology and finds that the number of contacts and contact forces between particles and between particles and the deposition plate change dynamically. As the value of sample Dc increases, the reduction rate of the number of force chains, which is influenced by the distance of the retaining wall, also rises. This paper also explores a three-dimensional deposition morphology prediction model, with research results expected to provide theoretical reference for studying movement laws of dry granular flow in mountainous areas and disaster prevention and mitigation.

WOS关键词PARTICLE-SIZE ; IMPACT ; DESIGN
资助项目the Science and Technology Program of Tibetan Autonomous Region ; Science and Technology Program of Tibetan Autonomous Region[2024YFC3012705] ; National Key R&D Program of China[42201095] ; National Natural Science Foundation of China
WOS研究方向Mathematics ; Mechanics
语种英语
WOS记录号WOS:001501968100001
出版者SPRINGER INT PUBL AG
资助机构the Science and Technology Program of Tibetan Autonomous Region ; Science and Technology Program of Tibetan Autonomous Region ; National Key R&D Program of China ; National Natural Science Foundation of China
源URL[http://ir.imde.ac.cn/handle/131551/58973]  
专题成都山地灾害与环境研究所_山地灾害与地表过程重点实验室
通讯作者Liu, Jinfeng
作者单位1.State Grid Sichuan Elect Power Transmiss & Transfo, Chengdu 610051, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Earth Surface Proc, Chengdu 610299, Peoples R China
推荐引用方式
GB/T 7714
Shang, Yuqi,Liu, Yang,Liu, Jinfeng,et al. Influence mechanism of rigid retaining wall on the deposition form of dry granular flow: insights from discrete element method[J]. COMPUTATIONAL PARTICLE MECHANICS,2025:20.
APA Shang, Yuqi.,Liu, Yang.,Liu, Jinfeng.,Sun, Hao.,You, Yong.,...&Yang, Huaquan.(2025).Influence mechanism of rigid retaining wall on the deposition form of dry granular flow: insights from discrete element method.COMPUTATIONAL PARTICLE MECHANICS,20.
MLA Shang, Yuqi,et al."Influence mechanism of rigid retaining wall on the deposition form of dry granular flow: insights from discrete element method".COMPUTATIONAL PARTICLE MECHANICS (2025):20.

入库方式: OAI收割

来源:成都山地灾害与环境研究所

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