在含有两种不同大小空腔的微晶GLPD多孔塑性固体中生长的延展性空洞

R. Burson, K. Enakoutsa
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引用次数: 0

摘要

Gologanu, Leblond, Perrin, and Devaux (GLPD)基于广义连续介质力学假设,开发了多孔金属韧性断裂的本构模型。该模型对多孔金属在多种复杂载荷作用下的韧性断裂过程进行了高精度预测。GLDP模型优于其竞争对手的表现吸引了一些作者的注意,他们探索了该模型的其他功能。本文给出了受静水作用的多孔空心球问题的解析解,空心球的矩阵服从GLPD模型。给出了在基体材料不含空洞的情况下,GLPD模型的应力和广义应力表达式的精确解。结果表明,与广义连续体模型一样,局部Gurson模型得到的应力分布奇异点被平滑了。本文还给出了初始孔隙率固定时基质为多孔且服从全GLPD模型的解析解的若干要素。后一解析解可用于预测具有两种不同大小孔洞的多孔塑性固体的韧性断裂机制。
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Ductile void growing in micromorphic GLPD porous plastic solids containing two populations of cavities with different sizes
Gologanu, Leblond, Perrin, and Devaux (GLPD) developed a constitutive model for ductile fracture for porous metals based on generalized continuum mechanics assump-tions. The model predicted with high accuracy ductile fracture process in porous metals subjected to several complex loads. The GLDP model performances over its competitors has attracted the attention of several authors who explored additional capabilities of the model. This paper provides analytical solutions for the problem of a porous hollow sphere subjected to hydrostatic loadings, the matrix of the hollow sphere obeying the GLPD model. The exact solution for the expressions of the stress and the generalized stress the GLPD model involved are illustrated for the case where the matrix material does not contain any voids. The results show that the singularities obtained in the stress distribution with the local Gurson model are smoothed out, as expected with any generalized continuum model. The paper also presents some elements of the analytical solution for the case where the matrix is porous and obeys the full GLPD model at the initial time when the porosity is fixed. The later analytical solution can serve to predict the mechanisms of ductile fracture in porous ductile solids with two populations of cavities with different sizes.
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来源期刊
CiteScore
3.00
自引率
5.30%
发文量
11
期刊介绍: MEMOCS is a publication of the International Research Center for the Mathematics and Mechanics of Complex Systems. It publishes articles from diverse scientific fields with a specific emphasis on mechanics. Articles must rely on the application or development of rigorous mathematical methods. The journal intends to foster a multidisciplinary approach to knowledge firmly based on mathematical foundations. It will serve as a forum where scientists from different disciplines meet to share a common, rational vision of science and technology. It intends to support and divulge research whose primary goal is to develop mathematical methods and tools for the study of complexity. The journal will also foster and publish original research in related areas of mathematics of proven applicability, such as variational methods, numerical methods, and optimization techniques. Besides their intrinsic interest, such treatments can become heuristic and epistemological tools for further investigations, and provide methods for deriving predictions from postulated theories. Papers focusing on and clarifying aspects of the history of mathematics and science are also welcome. All methodologies and points of view, if rigorously applied, will be considered.
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