@inproceedings{c588747f0c0a46f7aff0c39894f58a14,
title = "Baseline-subtraction-free (BSF) damage-scattered wave extraction for stiffened isotropic plates",
abstract = "Lamb waves enable long distance inspection of structures for health monitoring purposes. However, this capability is diminished when applied to complex structures where damage-scattered waves are often buried by scattering from various structural components or boundaries in the time-space domain. Here, a baseline-subtraction-free (BSF) inspection concept based on the Radon transform (RT) is proposed to identify and separate these scattered waves from those scattered by damage. The received time-space domain signals can be converted into the Radon domain, in which the scattered signals from structural components are suppressed into relatively small regions such that damage-scattered signals can be identified and extracted. In this study, a piezoelectric wafer and a linear scan via laser Doppler vibrometer (LDV) were used to excite and acquire the Lamb-wave signals in an aluminum plate with multiple stiffeners. Linear and inverse linear Radon transform algorithms were applied to the direct measurements. The results demonstrate the effectiveness of the Radon transform as a reliable extraction tool for damage-scattered waves in a stiffened aluminum plate and also suggest the possibility of generalizing this technique for application to a wide variety of complex, large-area structures.",
author = "Jiaze He and Leser, \{Patrick E.\} and Leser, \{William P.\}",
year = "2017",
doi = "10.12783/shm2017/13883",
language = "英语",
series = "Structural Health Monitoring 2017: Real-Time Material State Awareness and Data-Driven Safety Assurance - Proceedings of the 11th International Workshop on Structural Health Monitoring, IWSHM 2017",
publisher = "DEStech Publications",
pages = "326--333",
editor = "Fu-Kuo Chang and Fotis Kopsaftopoulos",
booktitle = "Structural Health Monitoring 2017",
note = "11th International Workshop on Structural Health Monitoring 2017: Real-Time Material State Awareness and Data-Driven Safety Assurance, IWSHM 2017 ; Conference date: 12-09-2017 Through 14-09-2017",
}