Exploration of subsequent yield surfaces through unit cell simulations

屈服面 材料科学 应力空间 产量(工程) 可塑性 各向同性 机械 压扁 剪切(地质) 空隙(复合材料) 单剪 几何学 剪应力 复合材料 结构工程 数学 有限元法 光学 物理 本构方程 工程类
作者
Mayank Chouksey,S. Basu
出处
期刊:International Journal of Solids and Structures [Elsevier BV]
卷期号:219-220: 11-22 被引量:3
标识
DOI:10.1016/j.ijsolstr.2021.02.004
摘要

Subsequent yield surfaces of ductile solids, pre-strained in shear and/or tension, exhibit various characteristic features that depend on the proof strain used to detect yield. These features include kinematic hardening when the proof strain denoting yield is low, isotropic hardening when it is high, formation of a ‘nose’ in the loading direction and flattening of the rear part of the yield surface. With the aid of a computational homogenisation scheme that allows application of arbitrary macro stress or macro deformation gradient to a unit cell, we show that essential features of the subsequent yield surfaces owe their origin to the extent of plasticity accumulated within the unit cell. For instance, a simple unit cell containing a spherical void, where the void serves to create a heterogenous distribution of plastic strain, suffices to computationally reproduce the experimentally observed features. Moreover, in contrast to experiments which generally allow plotting of the yield surface in a normal stress – shear stress plane, the computational scheme allows fuller exploration of the subsequent macro yield surface in the macro stress space. We find that what seems to be a translation and distortion of the yield surface in experiments, is actually most pronounced near some critical octahedral planes characterised by levels of triaxiality induced by the pre-straining process. The evolution of the yield surface in regions where the triaxiality is higher is considerably different. Moreover, as homogeneous yielding is approached with loading of the unit cell, the material seems to forget the nature of the pre-straining process and undergoes isotropic hardening.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
渤大小mn完成签到,获得积分10
1秒前
可靠橘子完成签到,获得积分10
1秒前
韦浩发布了新的文献求助10
1秒前
英姑应助xh采纳,获得10
2秒前
李健的小迷弟应助mumu采纳,获得10
2秒前
3秒前
小叶子发布了新的文献求助10
3秒前
4秒前
神勇从波发布了新的文献求助10
4秒前
小马甲应助玩命的翼采纳,获得10
4秒前
5秒前
可靠橘子发布了新的文献求助10
5秒前
石夜一觞发布了新的文献求助10
6秒前
多吉发布了新的文献求助10
6秒前
SATone完成签到,获得积分10
7秒前
Qyyy完成签到 ,获得积分10
7秒前
7秒前
Akim应助饭饭采纳,获得10
7秒前
7秒前
dxl发布了新的文献求助10
8秒前
七点半完成签到,获得积分10
10秒前
我是老大应助xiao米采纳,获得10
10秒前
隐形曼青应助斯图伊采纳,获得10
10秒前
科研通AI6.3应助KANG采纳,获得10
12秒前
细腻海之关注了科研通微信公众号
12秒前
kavins凯旋发布了新的文献求助10
12秒前
斯文败类应助SuperWhite采纳,获得10
13秒前
Baneyhua发布了新的文献求助10
14秒前
羽化成仙发布了新的文献求助10
15秒前
15秒前
16秒前
16秒前
17秒前
dew应助韦浩采纳,获得50
19秒前
WY发布了新的文献求助10
19秒前
19秒前
19秒前
zhang发布了新的文献求助10
19秒前
李健应助剑过无声采纳,获得10
20秒前
JamesPei应助无止采纳,获得10
20秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Salmon nasal cartilage-derived proteoglycan complexes influence the gut microbiota and bacterial metabolites in mice 2000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1500
Picture this! Including first nations fiction picture books in school library collections 1500
SMITHS Ti-6Al-2Sn-4Zr-2Mo-Si: Ti-6Al-2Sn-4Zr-2Mo-Si Alloy 850
Signals, Systems, and Signal Processing 610
Learning manta ray foraging optimisation based on external force for parameters identification of photovoltaic cell and module 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6375023
求助须知:如何正确求助?哪些是违规求助? 8188439
关于积分的说明 17289307
捐赠科研通 5428918
什么是DOI,文献DOI怎么找? 2872195
邀请新用户注册赠送积分活动 1848914
关于科研通互助平台的介绍 1694693