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On the identification of a high-resolution multi-linear post-necking strain hardening model

机译:关于高分辨率多线性颈颈后颈缘硬化模型的识别

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The Finite Element Model Updating (FEMU) technique is an inverse method that enables to arrive at a complete solution to the problem of diffuse necking of a thick tensile specimen. Conventionally, FEMU relies on the identification of a phenomenological strain hardening law that inherently limits the accuracy of the method due to the predefined character of the adopted strain hardening law. A high-resolution multi-linear post-necking strain hardening model enables to describe more generically the actual strain hardening behaviour. A numerical concept study is used to scrutinise the identification of such a model using FEMU. It is shown that, unlike progressive identification strategies, a global identification strategy followed by a smoothing operation based on area conservation yields sufficiently accurate results. To study the experimental feasibility, the latter strategy is used to identify the post-necking strain hardening behaviour of a thick S690QL high-strength steel. To this purpose, a notched tensile specimen was loaded up to fracture, while the elongation was measured using Digital Image Correlation (DIC). It is shown that the global identification strategy suffers from experimental noise associated with DIC and the load signal.
机译:有限元模型更新(FEMU)技术是一种逆方法,使得能够在厚拉伸样品的漫射缩颈的问题上实现完整的解决方案。传统上,Femu依赖于鉴定现象学应变硬化定律,其由于所采用的应变硬化法的预定特征为本地限制了方法的准确性。高分辨率多线性后颈柱硬化模型使得能够更易于描述实际的应变硬化行为。使用FEMU审查数值概念研究来审查这种模型的识别。结果表明,与逐步识别策略不同,全球识别策略,然后基于面积保护的平滑操作产生足够的准确结果。为了研究实验性可行性,后一种策略用于识别厚的S690QL高强度钢的颈后应变硬化行为。为此目的,将凹口拉伸样品加载到断裂上,同时使用数字图像相关(DIC)测量伸长率。结果表明,全局识别策略遭受与DIC和负载信号相关的实验噪声。

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