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Characterization and assessment of composite materials via inverse finite element modeling

机译:通过逆有限元建模表征和评估复合材料

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Characterizing mechanical properties play a major role in several fields such as biomedical and manufacturing sectors. In this study, a stochastic inverse model is combined with a finite element (FE) approach to infer full-field mechanical properties from scarce experimental data. This is achieved by means of non-linear combinations of material property realizations, with a certain spatial structure, for constraining stochastic simulations to data within a non-multiGaussian framework. This approach can be applied to the design of highly heterogenous materials, the uncertainty assessment of unknown mechanical properties or to provide accurate medical diagnosis of hard and soft tissues. The developed methodology has been successfully applied to a complex case study.
机译:表征机械性能在诸如生物医学和制造业等多个领域中起着重要作用。在这项研究中,随机逆模型与有限元(FE)方法相结合,可以从稀缺的实验数据中推断出全场机械性能。这是通过材料属性实现的非线性组合(具有一定的空间结构)来实现的,以将随机模拟约束到非多高斯框架内的数据。这种方法可用于高度异质性材料的设计,未知机械性能的不确定性评估,或为硬组织和软组织提供准确的医学诊断。所开发的方法已成功应用于复杂的案例研究。

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