衔接颗粒材料固态和流体行为的 SPH 模型

IF 3.4 2区工程技术 Q2 ENGINEERING, GEOLOGICAL

International Journal for Numerical and Analytical Methods in Geomechanics Pub Date : 2024-11-21 DOI:10.1002/nag.3899

Yadong Wang, Wei Wu

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引用次数: 0

摘要

我们提出了一种平滑颗粒流体力学（SPH）模型，它弥补了颗粒材料中观察到的类固体和类流体行为之间的差距。所提方法的关键创新点在于将应力梯度分解为与速率无关的部分和与速率有关的部分，这两部分分别受低塑性关系和构成关系的支配。通过使用所提出的方法，我们成功地捕捉到了颗粒材料中类似固体和类似流体流动状态之间的过渡。通过对各种边界值问题（包括颗粒柱坍塌、泰勒-库埃特流和筒仓流）的研究，我们对所提出的 SPH 方案进行了严格验证。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

A SPH Model Bridging Solid- and Fluid-Like Behaviour in Granular Materials

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A SPH Model Bridging Solid- and Fluid-Like Behaviour in Granular Materials

We propose a smoothed particle hydrodynamics (SPH) model bridging the gap between solid- and fluid-like behaviour observed in granular materials. The key innovation of the proposed approach lies in the decomposition of the stress gradient into rate-independent and rate-dependent parts, which are governed by the hypoplastic and $μ (I)$ constitutive relations, respectively. By using the proposed approach, we successfully capture the transition between solid- and fluid-like flow regimes in granular materials. The proposed SPH scheme is rigorously validated through the examination of various boundary value problems, including the collapse of a granular column, Taylor–Couette flow, and silo flow.

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来源期刊

International Journal for Numerical and Analytical Methods in Geomechanics 工程技术-材料科学：综合

CiteScore

6.40

自引率

12.50%

发文量

160

审稿时长

9 months

期刊介绍： The journal welcomes manuscripts that substantially contribute to the understanding of the complex mechanical behaviour of geomaterials (soils, rocks, concrete, ice, snow, and powders), through innovative experimental techniques, and/or through the development of novel numerical or hybrid experimental/numerical modelling concepts in geomechanics. Topics of interest include instabilities and localization, interface and surface phenomena, fracture and failure, multi-physics and other time-dependent phenomena, micromechanics and multi-scale methods, and inverse analysis and stochastic methods. Papers related to energy and environmental issues are particularly welcome. The illustration of the proposed methods and techniques to engineering problems is encouraged. However, manuscripts dealing with applications of existing methods, or proposing incremental improvements to existing methods – in particular marginal extensions of existing analytical solutions or numerical methods – will not be considered for review.