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Assessment of Notch Effect Based on Finite Element Analysis and Digital Image Correlation Technique
Steel Research International ( IF 1.9 ) Pub Date : 2020-10-19 , DOI: 10.1002/srin.202000376
Abhay Kumar 1 , Gudibanda Maruthi Sri Krishna Chaitanya 2 , Sunil Goyal 2, 3 , Mohit Goswami 1 , Anish Kumar 2, 3 , Ghulam Ashraf Ul Harmain 4
Affiliation  

Triaxial state of stress experienced by structural components due to complex geometry, discontinuities, or type of loading can be studied by tensile testing of notched specimens. Herein, assessment of tensile deformation of 316LN austenitic stainless under the uniaxial and triaxial stresses is presented based on finite element (FE) analysis and digital image correlation (DIC). To study their effects, notches of different root radii are incorporated in flat smooth specimens. The strength of the material increases in the presence of notch. Among the various constitutive expressions, the Swift equation provides a better representation of the tensile response for the smooth specimen. The analysis is further extended by incorporating Swift equation parameters as the deformation model in the FE analysis for notched specimens. The tensile response of the notched specimens is predicted well using the FE analysis. The in‐house algorithm is developed for DIC and used to estimate the strain in smooth and notched specimens by speckle‐pattern image analysis. The total displacement of smooth and notched specimens obtained from the FE analysis and DIC technique is comparable to the experimental results. Both the techniques complemented each other in understanding the deformation behavior of the steel.

中文翻译:

基于有限元分析和数字图像相关技术的缺口效应评估

结构构件由于复杂的几何形状,不连续性或载荷类型而承受的三轴应力状态可以通过缺口试样的拉伸试验来研究。在本文中,基于有限元(FE)分析和数字图像相关性(DIC),提出了316LN奥氏体不锈钢在单轴和三轴应力下的拉伸变形评估。为了研究其效果,将不同根半径的缺口合并到平坦光滑的样本中。在存在缺口的情况下,材料的强度会增加。在各种本构表达式中,Swift方程可以更好地表示光滑试样的拉伸响应。通过将Swift方程参数作为变形模型纳入带缺口试样的有限元分析中,可以进一步扩展该分析。使用有限元分析可以很好地预测缺口试样的拉伸响应。内部算法是为DIC开发的,用于通过斑点图案图像分析来估计光滑和有缺口样品中的应变。通过有限元分析和DIC技术获得的光滑且有缺口的标本的总位移与实验结果相当。两种技术在了解钢的变形行为方面互为补充。
更新日期:2020-10-19
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