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arXiv 1802.01487physics.app-ph
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基于不确定性量化技术的材料变异性塑性模型

Plasticity models of material variability based on uncertainty quantification techniques

F. Rizzi, R. E. Jones, J. A. Templeton, J. T. Ostien, B. L. Boyce

摘要:

增材制造等制造技术的出现已经将注意力集中在由于缺陷和其他微观结构方面引起的材料响应的相当大的可变性上。这种可变性促使开发一种增强的设计方法,该方法结合了固有的材料可变性,以提供可靠的性能预测。在这项工作中,我们开发的塑性模型能够代表在实验中观察到的机械响应的分布,使用传统的塑性模型的平均响应和最近开发的不确定性量化(UQ)技术。我们证明了新方法提供了优于传统方法的预测实现,以及这些UQ技术如何用于模型选择和评估校准物理参数的质量。

英文摘要:

The advent of fabrication techniques like additive manufacturing has focused attention on the considerable variability of material response due to defects and other micro-structural aspects. This variability motivates the development of an enhanced design methodology that incorporates inherent material variability to provide robust predictions of performance. In this work, we develop plasticity models capable of representing the distribution of mechanical responses observed in experiments using traditional plasticity models of the mean response and recently developed uncertainty quantification (UQ) techniques. We demonstrate that the new method provides predictive realizations that are superior to more traditional ones, and how these UQ techniques can be used in model selection and assessing the quality of calibrated physical parameters.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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