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<p>A method is proposed for using peridynamics to obtain a larger-scale characterization of a heterogeneous microstructure from a detailed small-scale model. The method produces a set of position-dependent material properties suitable for modeling the response of a structure with a coarser discretization than the original small-scale model. The elastic-plastic properties and anisotropy are included. A machine learning technique is proposed to accelerate the method by bypassing the small-scale simulations.</p>

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Upscaling the Mechanical Properties of Additively Manufactured Metals

  • 期刊论文

  • 发表日期：

    2025年10月9日

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  • Stewart A. Silling

摘要

A method is proposed for using peridynamics to obtain a larger-scale characterization of a heterogeneous microstructure from a detailed small-scale model. The method produces a set of position-dependent material properties suitable for modeling the response of a structure with a coarser discretization than the original small-scale model. The elastic-plastic properties and anisotropy are included. A machine learning technique is proposed to accelerate the method by bypassing the small-scale simulations.