文献类型：期刊文献

英文题名：Baseline-free damage localization in multilayer metallic spherical shell structures using guided wave tomography

作者：Liu, Wen[1];Liu, Lishuai[1];Wan, Qiang[2];Xiang, Yanxun[1];Xuan, Fu-Zhen[1]

机构：[1]East China Univ Sci & Technol, Sch Mech & Power Engn, Shanghai Key Lab Intelligent Sensing & Detect Tech, Shanghai, Peoples R China;[2]China Acad Engn Phys, Inst Syst Engn, Mianyang, Peoples R China

年份：2024

卷号：147

外文期刊名：NDT & E INTERNATIONAL

收录：;EI(收录号：20243416907681);WOS:【SCI-EXPANDED(收录号:WOS:001297799300001)】；

基金：This work was supported by the National Natural Science Foundation of China (Grant Nos. 12374434, 12327807, 12104155, and U1930202) , the Basic Research Program of Shanghai Science and Technology Inno-vation Action Plan (No. 23JC1401600) and the Young Elite Scientists Sponsorship Program by CAST (Grant No. 2023QNRC001) .

语种：英文

外文关键词：RAPID; Multi-layer spherical shell structure; Virtual time reversal; Damage location; Damage index

摘要：Multi-layer metal spherical shell structure is widely used as the core component of pressure-bearing equipment, deep-sea exploration equipment and other critical areas due to its plane stress uniformity and high specific strength. Its long-term service in complex and harsh environments will inevitably produce a variety of defects and damages, which will affect the safety of the equipment in service. Ultrasonic guided wave inspection is a potential non-destructive testing method, but the multilayer metal bonding structure between the metal and nonmetal bonding layer impedance difference is large, resulting in defects located in the internal reflection signal is difficult to propagate to the outer layer with a sensor, the multilayer spherical shell structure itself leads to the complexity of the guided wave propagation characteristics, it is difficult to extract the individual modes of the time information for the defects of the detection and localization. Therefore, in this paper, we propose a probabilistic damage existence imaging method for spherical shell structures and combine it with the virtual time reversal technique to detect and localize the defects on the inner and outer surfaces of multilayered metallic spherical shell structures without benchmarks. The results show that the newly proposed method can realize the accurate localization imaging of internal/external defects of multilayer metal spherical shell structures.