人工物デジタルツイン構築のためのマルチスケールモデル・モニタリングのシンセシス
概要
We propose an advanced digital twin of artifact systems (DTAS) in which physical and numerical models of structural materials at several time scales and length scales are constructed and integrated, while monitoring and inspection data of structural materials are used as input parameters. As DTAS can reproduce the current state of structural materials and predict their degradation through their service life, it can improve the resilience and give plasticity to artifact systems. A portion of the results related to inspection technique is described as one of the essential components to complete DTAS.
