首页> 外文会议>International conference of mechanical engineering;ICOME 2010 >NUMERICAL MODELING OF THE CHARPY TEST, AN IMPROVING WAY OF OBTAINED RESULTS BY THE EXPERIMENTAL METHOD
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NUMERICAL MODELING OF THE CHARPY TEST, AN IMPROVING WAY OF OBTAINED RESULTS BY THE EXPERIMENTAL METHOD

机译:嬉皮测试的数值模拟,一种改进的获得结果的实验​​方法

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Nowadays, the numerical modeling of the behavior of different materials has a great importance for analysis of the structure responding, especially over the elastic limit and under dynamic conditions. There is some material models used in finite element analysis, like Johnson-Cook, Simplified Johnson-Cook, Krieger (Cowper-Symond), Picewise-linear plasticity, Needleman-Tvergaard, Zerilli-Armstrong, Shirakashi-Vinh etc. For using of these material models, we have to know the material constants - a very important problem. Numerical simulation being used, in a good concordance with the experiment, a lot of studies can be made regarding to a material class, upon influence of different material constant on the simulation result and even to put in evidence how we could improve the material properties under dynamic loading. The study, presented in this work, is basing on Ls-Dyna code and on some material models, most used in our opinion, like plastic-kinematic, Johnson-Cook and Picewise-linear plasticity. The Charpy test - an experimental dynamic test - can be modeled using such material models. After a right numerical modeling of this test, having a much closed result with the experiment, we could obtain a lot of information about the influence of different material constants upon the numerical results.
机译:如今,不同材料的行为的数值建模对于分析结构的响应具有重要意义,尤其是在弹性极限和动态条件下。有限元分析中使用了一些材料模型,例如Johnson-Cook,Simplified Johnson-Cook,Krieger(Cowper-Symond),Picewise-线性可塑性,Needleman-Tvergaard,Zerilli-Armstrong,Shirakashi-Vinh等。材料模型,我们必须知道材料常数-一个非常重要的问题。使用数值模拟,与实验非常吻合,可以针对材料类别进行许多研究,考虑到不同材料常数对模拟结果的影响,甚至证明在以下条件下如何改善材料性能动态加载。在这项工作中提出的这项研究基于Ls-Dyna代码和一些我们认为最常用的材料模型,例如塑性运动学,Johnson-Cook和Picewise-线性可塑性。可以使用此类材料模型对Charpy测试(一种实验性的动态测试)进行建模。在对该测试进行正确的数值建模后,获得了与实验相当接近的结果,我们可以获得许多有关不同材料常数对数值结果的影响的信息。

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