Identification of Anisotropic Yield Functions Using FEMU and an Information-Rich Tensile Specimen
نویسندگان
چکیده
To fully exploit the predictive accuracy of advanced anisotropic yield functions, a large number classical mechanical tests is required for calibration purposes. The Finite Element Model Updating (FEMU) technique enables to simultaneously extract multiple parameters when fed with heterogeneous strain fields obtained from single information-rich experiment. This inverse approach has potential mitigate experimental effort by resorting single, yet more complex experiment augmented Digital Image Correlation. In this paper, we inversely identify sought two selected functions low carbon steel sheet based on previously designed tensile specimen. experimentally acquired field data used Hill48 criterion and Yld2000-2d function, respectively. results are compared conventional methods both functions. identification then thoroughly studied using virtual experiments enabling disentangle effect material model error reconstruction (DIC), It shown that dominates criterion. reduced function obtain identified closer reference parameters. paper clearly shows importance applying identification. Keywords: Anisotropic criteria; Material identification; Heterogeneous tests; Inverse DIC.
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ژورنال
عنوان ژورنال: Key Engineering Materials
سال: 2022
ISSN: ['1662-9809', '1013-9826', '1662-9795']
DOI: https://doi.org/10.4028/p-m5q583