Complex Network Methods for Plastic Deformation Dynamics in Metals

A. Kiv, A. Bryukhanov, V. Soloviev, A. Bielinskyi, T. Kavetskyy, D.A. Dyachok, I. Donchev, V. Lukashin
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Abstract

Plastic deformation of DC04 steel is regarded as a nonlinear, complex, irreversible, and self-organized process. The stress–strain time series analysis provided the possibility to identify areas of (quasi-)elastic deformation, plastic deformation, and necking. The latter two regions are the most informative. The area of inelastic deformation is reflected by collective, self-organized processes that lead to the formation of pores, and finally, the development of microcracks and a general crack as the cause of sample failure. Network measures for the quantitative assessment of the structural deformations in metals are proposed. Both spectral and topological measures of network complexity were found to be especially informative. According to our results, they can be used not only to classify the stages of plastic deformation, but also, they can be applied as a precursor of the material destruction process.
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金属塑性变形动力学的复杂网络方法
DC04钢的塑性变形是一个非线性的、复杂的、不可逆的、自组织的过程。应力-应变时间序列分析提供了识别(准)弹性变形、塑性变形和颈缩区域的可能性。后两个区域的信息最丰富。非弹性变形的面积反映在集体的、自组织的过程中,这些过程导致孔隙的形成,最后,微裂纹和一般裂纹的发展是试样破坏的原因。提出了定量评价金属结构变形的网络方法。发现网络复杂性的频谱和拓扑度量都是特别有用的。根据我们的研究结果,它们不仅可以用来对塑性变形的阶段进行分类,而且可以作为材料破坏过程的前兆。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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