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首页> 外文期刊>International Journal of Mechanical Sciences >Comparison of inverse identification strategies for constitutive mechanical models using full-field measurements
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Comparison of inverse identification strategies for constitutive mechanical models using full-field measurements

机译:使用全场测量对本构机械模型的逆识别策略的比较

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摘要

The calibration of phenomenological constitutive material models has been a constant need, because the parameters differ for each material and the ability of a model to mimic the real behaviour of a material is highly dependent on the quality of these parameters. Classically, the parameters of constitutive models are determined by standard tests under the assumption of homogeneous strain and stress fields in the zone of interest. However, in the last decade, Digital Image Correlation techniques and full-field measurements have enabled the development of new parameter identification strategies, such as the Finite Element Model Updating, the Constitutive Equation Gap Method, the Equilibrium Gap Method and the Virtual Fields Method. Although these new strategies have proven to be effective for linear and non-linear models, the implementation procedure for some of them is still a laborious task. The aim of this work is to give a detailed insight into the implementation aspects and validation of these methods. Detailed flowcharts of each strategy, focusing on the implementation aspects, are presented and their advantages and disadvantages are discussed. Moreover, these modern strategies are compared for the cases of homogeneous isotropic linear elasticity and isotropic plasticity with isotropic hardening. A simple numerical example is used to validate and compare the different strategies.
机译:现象学组成材料模型的校准是持续的,因为每个材料的参数不同,并且模型模拟材料的实际行为的能力高度依赖于这些参数的质量。经典地,本构模型的参数由在感兴趣区域中的均匀应变和应力场的假设下通过标准测试确定。然而,在过去的十年中,数字图像相关技术和全场测量使得开发了新的参数识别策略,例如有限元模型更新,构成方程间隙方法,平衡差距方法和虚拟字段方法。虽然这些新的策略已被证明是线性和非线性模型的有效性,但其中一些人的实施程序仍然是一个艰苦的任务。这项工作的目的是详细介绍这些方法的实现方面和验证。提出了每个策略的详细流程图,专注于实现方面,并讨论了它们的优缺点。此外,这些现代策略与各向同性硬化同次各向同性线性弹性和各向同性可塑性的情况进行了比较。简单的数字示例用于验证和比较不同的策略。

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