PREDICTION OF STRAIN INHOMOGENEITY DURING CYCLIC PLASTOMETRIC TESTS BASED ON DIGITAL MATERIAL REPRESENTATION APPROACH

机译：基于数字材料表示方法的循环塑性试验期间应变不均匀性的预测

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In the presented work focus is put on the identification of material data using three-point bending cyclic test. Data gained during this test are used for creation of a Finite Element Model of such test. Simulations of cyclic tests are used to predict strain inhomogeneity. Additionally, two-dimensional Digital Image Correlation (DIC) analysis is utilized as a verification tool for the numerical simulation.

机译：在本工作重点中，使用三点弯曲循环试验来识别材料数据。在该测试期间获得的数据用于创建这种测试的有限元模型。循环试验的模拟用于预测应变不均匀性。另外，二维数字图像相关（DIC）分析用作用于数值模拟的验证工具。

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《Materials Science Technology Conference and Exhibition》|2017年|718p|共3页
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P. Lisiecka-Graca; K. Muszka; J. Majta;
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中图分类 TG14-532;
关键词
Strain reversal; Cyclic plastometric test; Digital Materials Representation; Work hardening model;

机译：应变逆转;循环塑性测试;数字材料代表;工作硬化模型;

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1. Identification of local cyclic stress-strain curves at material inhomogeneities on the basis of digital image correlation [J] . Lang E. Materialwissenschaft und Werkstofftechnik . 2016,第10期

机译：基于数字图像相关性的材料非均匀性局部循环应力-应变曲线识别
2. A non-contact real-time strain measurement and control system for multiaxial cyclic/fatigue tests of polymer materials by digital image correlation method [J] . Tao G, Xia ZH Polymer Testing . 2005,第7期

机译：数字图像相关方法的聚合物材料多轴循环/疲劳试验的非接触实时应变测量与控制系统
3. Application of the Digital Material Representation to strain localization prediction in the two phase titanium alloys for aerospace applications [J] . Muszka K., Madej L., Wynne B. P. SIAM journal on applied dynamical systems . 2017,第2期

机译：数字材料表示在航空航天应用中两相钛合金中的应变定位预测
4. PREDICTION OF STRAIN INHOMOGENEITY DURING CYCLIC PLASTOMETRIC TESTS BASED ON DIGITAL MATERIAL REPRESENTATION APPROACH [C] . P. Lisiecka-Graca, K. Muszka, J. Majta Materials Science Technology Conference and Exhibition . 2017

机译：基于数字材料表示方法的循环塑性试验期间应变不均匀性的预测
5. Determination of strains in cyclic triaxial tests using digital image correlation. [D] . Montemayor, Eleazar. 2003

机译：使用数字图像相关性在循环三轴测试中确定应变。
6. Correction: Li Q. and Liang S.Y. Microstructure Images Restoration of Metallic Materials Based upon KSVD and Smoothing Penalty Sparse Representation Approach. Materials 2018 11 637 [O] . Qing Li, Steven Y. Liang 2020

机译：更正：李问和梁世Y基于KSVD和平滑罚分稀疏表示方法的金属材料微结构图像复原。材料201811637
7. Numerical model of the nanoindentation test based on the digital material representation of the Ti/TiN multilayers [O] . Perzyński Konrad, Wiatr Radosław, Madej Łukasz 2015

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8. Sensitivity of Fatigue Life Predictions to Approximations in the Representation of Metal Cyclic Deformation Response in a Computer-Based Fatigue Analysis Model. [R] . Conle, A., Topper, T. H. 1973

机译：基于计算机的疲劳分析模型中疲劳寿命预测对金属循环变形响应表示近似的敏感性。

PREDICTION OF STRAIN INHOMOGENEITY DURING CYCLIC PLASTOMETRIC TESTS BASED ON DIGITAL MATERIAL REPRESENTATION APPROACH

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