基于 DIC 实验的构成模型适配性评估指标

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Amar Peshave, Fabrice Pierron, Pascal Lava, D. Moens, D. Vandepitte
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引用次数: 0

摘要

数字图像相关(DIC)等全场光学实验技术能够测量信息丰富的异质应变状态。材料测试 2.0 的目的就是利用这一点,设计实验装置,使用虚拟场法(VFM)等反向识别技术进行高效的材料表征。然而,在这种情况下,需要先验地了解构成模型,有时这并不是一件小事。可以通过使用相同的 DIC 应变场识别多个构成模型并比较其性能来克服这一限制。在这项工作中,我们提出了一种评估模型性能的方法,并根据定量指标对不同的构成模型进行比较。在单轴载荷下,对 S 形高密度聚乙烯测试样本进行了 DIC 实验。异质 DIC 应变场与 VFM 结合使用,以确定复杂度不断增加的超弹性构造模型的参数。定义了平衡间隙指标(EGI)和重建轴力比(RAFR)这两个确定性指标,并用于比较这些构成模型的性能。通过使用 DIC 实验的数字孪生模型计算 EGI 和 RAFR,研究了空间平滑对 DIC 应变场的影响。EGI 和 RAFR 指标提供了有关材料行为的互补信息,两者都是做出明智选择的必要条件。在本案例研究中,发现超弹性结构模型不能很好地捕捉材料在小应变机制下的刚度。在超弹性模型中加入了与等效剪应力成指数衰减的线弹性贡献,并使用 VFM 确定了相应的模型参数。结果发现,弹性-超弹性结构模型的性能优于纯超弹性模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Metrics to evaluate constitutive model fitness based on DIC experiments
Full‐field optical experimental techniques such as Digital Image Correlation (DIC) enable measurement of information‐rich heterogeneous strain states. The aim of Material Testing 2.0 is to capitalise on this and design experimental setups for efficient material characterisation using inverse identification techniques such as the Virtual Fields Method (VFM). In that case, however, a priori knowledge of the constitutive model is required, which sometimes is not a trivial task. This limitation can be overcome by identifying multiple constitutive models using the same DIC strain fields and comparing their performance. In this work, we present a methodology to evaluate model performance and compare different constitutive models based on quantitative metrics. DIC experiments were performed on an S‐shaped high density polyethylene test sample under uniaxial load. The heterogeneous DIC strain fields were used in combination with the VFM to identify parameters of hyperelastic constitutive models with increasing complexity. Two deterministic metrics, the equilibrium gap indicator (EGI) and the reconstructed axial force ratio (RAFR), were defined and used to compare the performance of these constitutive models. The impact of spatial smoothing on DIC strain fields was studied by calculating the EGI and RAFR using a digital twin of the DIC experiments. EGI and RAFR metrics provide complementary information regarding the material behaviour, and both are necessary to make an informed choice. In this case study, hyperelastic constitutive models were found not to capture the material stiffness well in the small strain regime. A linear‐elastic contribution exponentially decaying with the equivalent shear stress was added to the hyperelastic models and the corresponding model parameters identified using the VFM. The elastic‐hyperelastic constitutive models were found to perform better than their purely hyperelastic counterparts.
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
期刊介绍: ACS Applied Bio Materials is an interdisciplinary journal publishing original research covering all aspects of biomaterials and biointerfaces including and beyond the traditional biosensing, biomedical and therapeutic applications. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrates knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important bio applications. The journal is specifically interested in work that addresses the relationship between structure and function and assesses the stability and degradation of materials under relevant environmental and biological conditions.
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