利用皮卡尔迭代的局部径向基函数近似对小应变弹塑性变形进行数值分析

IF 4.4 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Filip Strniša, Mitja Jančič, Gregor Kosec
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引用次数: 0

摘要

在本文中,我们讨论了一个具有非线性各向同性硬化的冯-米塞斯塑性模型,该模型假定在承受不同加载条件的内部加压厚壁圆柱体的平面应变示例中存在小应变。弹性变形采用 Navier-Cauchy 方程建模。在 von Mises 应力超过屈服应力的区域,通过返回映射算法进行局部修正。我们提出了一种新方法,使用带有 Picard 迭代的径向基函数-有限差分 (RBF-FD) 方法来求解塑性变形产生的非线性方程系统。该技术无需稳定发散算子,避免了边界节点的特殊定位,同时保持了无网格离散化的优雅,避免了引入需要调整的新参数。建议方法的结果与分析和有限元法(FEM)解决方案进行了比较。结果表明,所提出的方法达到了与有限元法相当的精度,同时在处理复杂几何图形方面具有显著优势,无需传统的网格划分或对边界节点或微分算子进行特殊处理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Numerical analysis of small-strain elasto-plastic deformation using local Radial Basis Function approximation with Picard iteration
In this paper, we discuss a von Mises plasticity model with nonlinear isotropic hardening assuming small strains in a plane strain example of internally pressurised thick-walled cylinder subjected to different loading conditions. The elastic deformation is modelled using the Navier-Cauchy equation. In regions where the von Mises stress exceeds the yield stress, corrections are made locally through a return mapping algorithm. We present a novel method that uses a Radial Basis Function-Finite Difference (RBF-FD) approach with Picard iteration to solve the system of nonlinear equations arising from plastic deformation. This technique eliminates the need to stabilise the divergence operator and avoids special positioning of the boundary nodes, while preserving the elegance of the meshless discretisation and avoiding the introduction of new parameters that would require tuning. The results of the proposed method are compared with analytical and Finite Element Method (FEM) solutions. The results show that the proposed method achieves comparable accuracy to FEM while offering significant advantages in the treatment of complex geometries without the need for conventional meshing or special treatment of boundary nodes or differential operators.
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来源期刊
Applied Mathematical Modelling
Applied Mathematical Modelling 数学-工程:综合
CiteScore
9.80
自引率
8.00%
发文量
508
审稿时长
43 days
期刊介绍: Applied Mathematical Modelling focuses on research related to the mathematical modelling of engineering and environmental processes, manufacturing, and industrial systems. A significant emerging area of research activity involves multiphysics processes, and contributions in this area are particularly encouraged. This influential publication covers a wide spectrum of subjects including heat transfer, fluid mechanics, CFD, and transport phenomena; solid mechanics and mechanics of metals; electromagnets and MHD; reliability modelling and system optimization; finite volume, finite element, and boundary element procedures; modelling of inventory, industrial, manufacturing and logistics systems for viable decision making; civil engineering systems and structures; mineral and energy resources; relevant software engineering issues associated with CAD and CAE; and materials and metallurgical engineering. Applied Mathematical Modelling is primarily interested in papers developing increased insights into real-world problems through novel mathematical modelling, novel applications or a combination of these. Papers employing existing numerical techniques must demonstrate sufficient novelty in the solution of practical problems. Papers on fuzzy logic in decision-making or purely financial mathematics are normally not considered. Research on fractional differential equations, bifurcation, and numerical methods needs to include practical examples. Population dynamics must solve realistic scenarios. Papers in the area of logistics and business modelling should demonstrate meaningful managerial insight. Submissions with no real-world application will not be considered.
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