论文标题

从图像数据到微观结构信息 - 材料数字核心的准确性分析

From image data towards microstructure information -- accuracy analysis at the digital core of materials

论文作者

Eidel, Bernhard, Fischer, Andreas, Gote, Ajinkya

论文摘要

在数字转换背景下,计算固体力学的基石是从高级断层扫描技术获得的微观结构的数据库。 2D中像素化图像的均匀离散化是用于模拟分析的原始数据出发点。本文提出了针对以统一分辨率的基于图像的微观结构表示的统一误差分析以及自适应的离散化的概念。该分析区分了由于有限的,可能的图像分辨率和离散化误差引起的建模误差,研究了其定量关系,空间分布及其对在计算均质化背景下对显微镜和宏观的仿真结果的影响。对于示例性的两相材料进行了准确性和效率的评估。除了此处考虑的示例之外,该概念是将原始图像数据转换为微观结构信息的合理工具,该信息适合于特定的仿真需求,并赋予真实微观结构的数字双胞胎具有经过验证的可靠,预测性仿真的经过验证的特征。

A cornerstone of computational solid mechanics in the context of digital transformation are databases for microstructures obtained from advanced tomography techniques. Uniform discretizations of pixelized images in 2D are the raw-data point of departure for simulation analyses. This paper proposes the concept of a unified error analysis for image-based microstructure representations in uniform resolution along with adaptively coarsened discretizations. The analysis distinguishes between a modeling error due to finite, possibly coarsened image resolution and a discretization error, investigates their quantitative relation, spatial distributions and their impacts on the simulation results both on the microscale and the macroscale in the context of computational homogenization. The assessment of accuracy and efficiency is carried out for an exemplary two-phase material. Beyond the example considered here the concept is a rational tool in the transformation of raw image data into microstructure information adapted to particular simulation needs and endows the digital twin of real microstructures with validated characteristics for reliable, predictive simulations.

扫码加入交流群

加入微信交流群

微信交流群二维码

扫码加入学术交流群,获取更多资源