A soft–rigid contact model of MPM for granular flow impact on retaining structures
A soft–rigid contact model of MPM for granular flow impact on retaining structures
复制标题
用于颗粒流对支护结构影响的 MPM 软刚性接触模型
DOI：
10.1007/s40571-018-0188-5
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发表时间：
2018-02
影响因子：
3.3
通讯作者：
Gutierrez Marte
中科院分区：
文献类型：
--
作者：
Li Xinpo;Xie Yanfang;Gutierrez Marte
针对与快速碎片雪崩有关的危险的保护措施包括各种挡土结构，如岩石/巨石围栏、石笼、填土屏障和挡土墙。然而，合理评估颗粒流产生的冲击力的分析和数值方法的发展仍然是一个挑战。本文在欧拉-拉格朗日混合描述的MPM编码框架下建立了一种软硬接触模型。柔体离散为粒子（材质点），刚体由基于刚性节点的曲面表示。采用库仑摩擦模型来实现所建立的接触力学模型，并在模型中加入了与速度相关的摩擦系数。物理实验的仿真结果表明，MPM模型能很好地捕捉到冲击力的峰值和残余值。利用MPM模型分析了泥石流沿山坡流下并撞击挡土墙的理想情形。计算的力可以提供一个定量的估计，从土堆设计可以进行实际实施中的领域。
Protective measures against hazards associated with rapid debris avalanches include a variety of retaining structures such as rock/boulder fences, gabions, earthfill barriers and retaining walls. However, the development of analytical and numerical methods for the rational assessment of impact force generated by granular flows is still a challenge. In this work, a soft–rigid contact model is built under the coding framework of MPM which is a hybrid method with Eulerian–Lagrangian description. The soft bodies are discretized into particles (material points), and the rigid bodies are presented by rigid node-based surfaces. Coulomb friction model is used to implement the modeled contact mechanics, and a velocity-dependent friction coefficient is coupled into the model. Simulations of a physical experiment show that the peak and residual value of impact forces are well captured by the MPM model. An idealized scenario of debris avalanche flow down a hillslope and impacting on a retaining wall are analyzed using the MPM model. The calculated forces can provide a quantitative estimate from which mound design could proceed for practical implementation in the field.
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影响因子：
2.1
作者：
Yuan-jun Jiang;Y. Zhao
通讯作者：
Yuan-jun Jiang;Y. Zhao
影响因子：
5.8
作者：
K. Soga;E. Ágreda;Alba Yerro Colom;K. Kumar;S. Bandara
通讯作者：
K. Soga;E. Ágreda;Alba Yerro Colom;K. Kumar;S. Bandara
影响因子：
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作者：
F. Ferri;G. Toro;T. Hirose;R. Han;H. Noda;T. Shimamoto;M. Quaresimin;N. D. Rossi
通讯作者：
F. Ferri;G. Toro;T. Hirose;R. Han;H. Noda;T. Shimamoto;M. Quaresimin;N. D. Rossi
DOI：
10.1016/s0045-7825(99)00338-2
发表时间：
2000-07
影响因子：
7.2
作者：
S. Bardenhagen;J. Brackbill;D. Sulsky
通讯作者：
S. Bardenhagen;J. Brackbill;D. Sulsky
影响因子：
6.2
作者：
Yuan-jun Jiang;I. Towhata
通讯作者：
Yuan-jun Jiang;I. Towhata