A U-Net-Based Self-Stitching Method for Generating Periodic Grain Structures

Autor: Ji, Ye, Koeppe, Arnd, Altschuh, Patrick, Griem, Lars, Rajagopal, Deepalaxmi, Nestler, Britta, Chen, Weijin, Zhang, Yi, Zheng, Yue
Rok vydání: 2023
Předmět:
Druh dokumentu: Working Paper
Popis: When modeling microstructures, the computational resource requirements increase rapidly as the simulation domain becomes larger. As a result, simulating a small representative fraction under periodic boundary conditions is often a necessary simplification. However, the truncated structures leave nonphysical boundaries, which are detrimental to numerical modeling. Here, we propose a self-stitching algorithm for generating periodic structures, demonstrated in a grain structure. The main idea of our algorithm is to artificially add structural information between mismatched boundary pairs, using the hierarchical spatial predictions of the U-Net. The algorithm provides an automatic and unbiased way to obtain periodic boundaries in grain structures and can be applied to porous microstructures in a similar way.
Databáze: arXiv