Numerical modelling of large elasto-plastic multi-material deformations on Eulerian grids

IF 0.5 4区 数学 Q4 MATHEMATICS, APPLIED Russian Journal of Numerical Analysis and Mathematical Modelling Pub Date : 2024-06-01 DOI:10.1515/rnam-2024-0016
Lujie Wang, I. Menshov, Alexey A. Serezhkin
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Abstract

The paper deals with an Eulerian model for heterogeneous multiphase (multi-material) elasto-plastic media based on the diffuse interface method in the one-dimensional uniaxial strain approximation. In this approximation, an equilibrium hypoelastic Wilkins bi-material model is derived. This is carried out on the basis of an analogy between the elasto-plastic Wilkins and hydrodynamic Euler models. For the obtained model, a Godunov-type numerical method is developed based on the approximate Riemann solver HLLC. The results of the proposed Eulerian diffuse interface model are compared with reference solutions on moving grids with explicit tracking interfaces. It is shown that the present diffuse interface numerical model describes with good accuracy strong shock-wave processes in heterogeneous multiphase elasto-plastic media.
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欧拉网格上大型弹塑性多材料变形的数值模拟
本文论述了基于一维单轴应变近似的扩散界面法的异质多相(多材料)弹塑性介质欧拉模型。在这一近似中,推导出了一个平衡的低弹性 Wilkins 双材料模型。这是根据弹塑性 Wilkins 模型和流体力学欧拉模型之间的类比进行的。针对所获得的模型,在近似黎曼求解器 HLLC 的基础上开发了一种 Godunov 型数值方法。将所提出的欧拉扩散界面模型的结果与具有显式跟踪界面的移动网格上的参考解进行了比较。结果表明,本扩散界面数值模型能够准确描述异质多相弹塑性介质中的强冲击波过程。
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来源期刊
CiteScore
1.40
自引率
16.70%
发文量
31
审稿时长
>12 weeks
期刊介绍: The Russian Journal of Numerical Analysis and Mathematical Modelling, published bimonthly, provides English translations of selected new original Russian papers on the theoretical aspects of numerical analysis and the application of mathematical methods to simulation and modelling. The editorial board, consisting of the most prominent Russian scientists in numerical analysis and mathematical modelling, selects papers on the basis of their high scientific standard, innovative approach and topical interest. Topics: -numerical analysis- numerical linear algebra- finite element methods for PDEs- iterative methods- Monte-Carlo methods- mathematical modelling and numerical simulation in geophysical hydrodynamics, immunology and medicine, fluid mechanics and electrodynamics, geosciences.
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