从理论到应用:评估多孔塑性金属韧性断裂建模中空隙形状效应和损伤局部化的数值实施情况

K. Enakoutsa, Yanni Bills
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引用次数: 0

摘要

在本文中,我们对 Gologanu-Leblond-Devaux (GLD) 模型进行了深入探讨,该模型是 Gurson 模型的高级迭代,旨在预测多孔金属中的韧性断裂。GLD 模型超越了原始 Gurson 模型的限制,考虑了空腔形状效应和非局部应变局部化,标志着断裂力学的重大飞跃。我们还全面阐述了 GLD 模型及其非局部扩展,确立了它们与 GSM 概念的兼容性。值得注意的是,我们强调了数值实现中解的唯一性,强调了精心设计隐式/显式混合算法的必要性。此外,我们还通过将数值模拟与实验数据进行严格比较来验证 GLD 模型。我们的研究采用了植根于孔隙率自然对数的损伤定位方法,为模型的性能提供了令人信服的证据。这种方法缓解了原始孔隙率的问题,防止了孔隙率的过度平滑,并保持了应力-应变曲线的真实性。此外,我们还通过傅立叶孔隙率分析对这一现象进行了深刻的理论阐释。通过这项工作,我们不仅加深了对韧性断裂行为的理解,还为其预测建模建立了一个强大的数值框架。GLD 模型成为精确分析和预测多孔材料断裂现象的有力工具,进一步推动了材料科学与工程领域的发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Moving from theory to application: Evaluating the numerical implementation of void shape effects and damage delocalization in the modeling of ductile fracture in porous plastic metals
In this paper, we present a robust exploration of the Gologanu–Leblond–Devaux (GLD) model, an advanced iteration of the Gurson model, designed to predict ductile fractures in porous metals. Going beyond the limits of the original Gurson model, the GLD model accounts for cavity shape effects and non-local strain localization, marking a significant leap in fracture mechanics. We also present a comprehensive exposition of the GLD model and its non-local extension, establishing their compatibility with the concept of GSMs. Notably, we emphasize the uniqueness of solutions in the numerical implementation, underlining the imperative need for a meticulously devised mixed implicit/explicit algorithm. Furthermore, we set out to validate the GLD model through rigorous comparisons of our numerical simulations with experimental data. Employing a damage delocalization approach rooted in the natural logarithm of porosity, our study provides compelling evidence of the model’s performance. This approach mitigates issues observed with the original porosity rate, preventing excessive smoothing of porosity and maintaining the fidelity of stress–strain curves. In addition, we gave a profound theoretical elucidation of this phenomenon via Fourier’s analysis of porosity rate. Through this work, we not only enhance our understanding of ductile fracture behavior but also establish a robust numerical framework for its predictive modeling. The GLD model emerges as a powerful tool for the accurate analysis and prediction of fracture phenomena in porous materials, further advancing the field of materials science and engineering.
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