Suppr超能文献

Defect localization in plate structures using the geometric phase of Lamb waves.

作者信息

Zhang Guangdong, Kundu Tribikram, Deymier Pierre A, Runge Keith

机构信息

New Frontiers of Sound Science and Technology Center, University of Arizona, Tucson, AZ 85721, USA; Department of Aerospace and Mechanical Engineering, University of Arizona, Tucson, AZ 85721, USA.

New Frontiers of Sound Science and Technology Center, University of Arizona, Tucson, AZ 85721, USA; Department of Aerospace and Mechanical Engineering, University of Arizona, Tucson, AZ 85721, USA; Department of Civil and Architectural Engineering and Mechanics, University of Arizona, Tucson, AZ 85721, USA; Department of Materials Science and Engineering, University of Arizona, Tucson, AZ 85721, USA.

出版信息

Ultrasonics. 2025 Jan;145:107492. doi: 10.1016/j.ultras.2024.107492. Epub 2024 Oct 19.

Abstract

Commonly used methods for defect localization in structures are based on velocity differences (VD) or amplitude ratio (AR) (or attenuation due to scattering) measured along different sensing paths between a reference system and a defective system. A high value on a sensing path indicates a higher probability of the presence of defect on that path. We introduce an alternative approach based on the newly developed topological acoustic (TA) sensing technique for localizing defects in plate structures using Lamb waves. TA sensing exploits changes in geometric phase of acoustic waves to detect perturbations in the supporting medium. This approach uses a geometric phase change - index (GPC-I), a measure of the geometry of the acoustic field averaged over a spectral domain, as detection metric in lieu of VD or AR. Calculations based on the finite element method (FEM) in Abaqus/CAE software verifies the effectiveness of the proposed GPC-I-based defect localization method. Randomly located defects on the surface of a plate are localized with higher sensitivity and accuracy, by the GPC-I method in comparison to VD or AR-based methods.

摘要

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验