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Characterization of random heterogeneities in polycrystalline microstructures using wave propagation simulation

机译:利用波传播模拟表征多晶微结构中的随机异质性

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The quantification of variability in the mechanical behavior of metallic materials is important in the design and reliability assessment of mechanical components. A combination of experimental and computational approaches is often required to alleviate the experimental burden and lack of data in constructing a probabilistic formalism for material design. The present work aims at integrating material characterization and computational modeling for the evaluation of variability in the elastodynamic response of random poly crystals. First, a procedure is presented for simulation of random 2D polycrystalline microstructures from limited experimental data. Second, the capability of the numerical model in capturing the variation of the scattered waves due to the random heterogeneities is investigated by introducing a suitable quantity of interest characterizing the intensity of the fluctuations of the stochastic waveforms. Two important types of heterogeneities are considered. The first is the inherent heterogeneity due to the mismatch in the grain orientations. The second is the heterogeneity due to fine scale defects in the form of random intergranular micro-cavities. The numerical model presented in this paper can be useful for the interpretation of experimental ultrasonic measurements for random heterogeneous material. The result is also applicable to the validation of multiscale probabilistic models for material prognosis.
机译:金属材料的机械性能变化的量化对于机械零件的设计和可靠性评估很重要。在构造材料设计的概率形式主义时,通常需要将实验方法和计算方法结合起来以减轻实验负担和数据缺乏。本工作旨在整合材料表征和计算模型,以评估随机多晶体的弹性动力学响应中的变异性。首先,提出了一种从有限的实验数据模拟随机2D多晶微结构的程序。其次,通过引入适当的感兴趣的表征随机波形波动强度的感兴趣量,研究了数值模型捕获由于随机异质性引起的散射波变化的能力。考虑了两种重要的异质性类型。首先是由于晶粒取向的不匹配造成的固有异质性。第二个是由于随机晶间微腔形式的细微缺陷所引起的异质性。本文提出的数值模型可用于解释随机异质材料的实验超声测量结果。该结果也适用于材料预后的多尺度概率模型的验证。

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