semantic_scholare-Journal of Nondestructive Testing2026-08-01
Physics-Informed CycleGAN Framework Combining GNN and Transformer for Domain Adaptation
Shang-Jun Chen, Chuan-Chuan Hou, S. Mariani
TL;DR: Results obtained for concrete-filled steel tubular structures, based on seven-channel acceleration recordings sampled at 25 kHz, demonstrate that the proposed framework effectively enhances cross-domain stability in healthy–damage signal translation and suppresses abnormal frequency peaks.
In this study, a physics-informed Cycle-Consistent Generative Adversarial Network (CycleGAN) framework is proposed for vibration-based structural health monitoring of structures subjected to lateral impacts. The proposed method aims to translate vibration data between the healthy…