在先进的各向异性循环塑性损伤模型中进行材料参数识别的新型单轴和双轴反向试验

IF 3.4 3区 材料科学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY
Zhichao Wei , Steffen Gerke , Michael Brünig
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引用次数: 0

摘要

本文讨论了基于新型单轴和双轴反加载实验的材料参数标定与验证。单轴加载的拉伸压缩(TC-)、单轴加载的剪切和双轴加载的hc -试件进行不同的循环试验,涵盖了广泛的应力三轴性。实验中采用了特殊的防屈曲夹爪和新设计的下托器,以避免在压缩载荷下的屈曲。在实验过程中,利用数字图像相关技术记录和分析了应变场。采用直接拟合和间接拟合相结合的方法,对所提出的先进弹塑性损伤本构模型的基本弹塑性材料参数进行识别。本文未讨论损伤参数的表征。介绍了一种定量误差分析方法,利用得到的材料参数检验数值模拟的质量。实验结果与数值结果的对比表明,基于识别参数的损伤模型能够较好地预测整体载荷-位移曲线和局部应变场。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Novel uniaxial and biaxial reverse experiments for material parameter identification in an advanced anisotropic cyclic plastic-damage model
This paper discusses the calibration and verification of material parameters based on novel one-axis and biaxial reverse loading experiments. The uniaxially loaded tension–compression (TC-), one-axis-loaded shear, and biaxially loaded HC-specimens are designed to perform different cyclic experiments, covering a wide range of stress triaxialities. Special anti-buckling clamping jaws and a newly designed downholder are used during the experiments to avoid buckling under compression loads. During the experiments, strain fields are recorded and analyzed using the digital image correlation (DIC) technique. A combination of direct and indirect fitting approaches is employed to identify the essential elastic–plastic material parameters for the proposed advanced elastic–plastic-damage constitutive model. The characterization of damage parameters is not discussed in this paper. A quantitative error analysis method is introduced to check the quality of the numerical simulation using the obtained material parameters. The comparison between experimental and numerical results demonstrates that the proposed damage model with identified parameters can predict global load–displacement curves and local strain fields with good accuracy.
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来源期刊
Mechanics of Materials
Mechanics of Materials 工程技术-材料科学:综合
CiteScore
7.60
自引率
5.10%
发文量
243
审稿时长
46 days
期刊介绍: Mechanics of Materials is a forum for original scientific research on the flow, fracture, and general constitutive behavior of geophysical, geotechnical and technological materials, with balanced coverage of advanced technological and natural materials, with balanced coverage of theoretical, experimental, and field investigations. Of special concern are macroscopic predictions based on microscopic models, identification of microscopic structures from limited overall macroscopic data, experimental and field results that lead to fundamental understanding of the behavior of materials, and coordinated experimental and analytical investigations that culminate in theories with predictive quality.
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