TY - JOUR
T1 - Elastic wave propagation in thick-walled hollow cylinders for damage localization through inner surface sensing
AU - Zhang, Yuanman
AU - Shan, Shengbo
AU - Cheng, Li
N1 - Funding Information:
This work was supported by the Research Grants Council of Hong Kong Special Administrative Region [PolyU 152013/21E]; the National Natural Science Foundations of China through SHENG project [Polish-Chinese Funding Initiative, 51961135302]; Research Fund of State Key Laboratory of Mechanics and Control of Mechanical Structures [Nanjing University of Aeronautics and Astronautics, China. Grant No. MCMS-E-0520K01]; the Natural Science Foundation of Shanghai [22ZR1462700]; the Fundamental Research Funds for the Central Universities; and the Innovation and Technology Commission of the HKSAR Government to the Hong Kong Branch of National Rail Transit Electrification and Automation Engineering Technology Research Center.
Publisher Copyright:
© 2023 Elsevier B.V.
PY - 2023/8
Y1 - 2023/8
N2 - Thick-walled hollow cylinders (TWHCs) are widely used in engineering structures and transportation systems, exemplified by train axles. The real-time and online health monitoring of such structures is crucial to ensure their structural integrity and operational safety. While elastic-wave-based structural health monitoring (SHM) shows promise, the development of feasible methods strongly relies on a good understanding and exploitation of the wave propagation properties and their interaction with structural defects. TWHCs usually bear multiple wave modes, which is a less investigated and explored topic as compared with thin-walled structures. This work examines this issue and proposes a dedicated damage localization strategy by using the selected waves captured on the inner surface of a TWHC. It is shown that, alongside the quasi-surface-waves on the outer surface, longitudinal waves converted from the thickness-through shear bulk waves are generated to propagate along the inner surface. Their propagation characteristics are exploited for damage localization based on hyperbolic loci methods through inner surface sensing. Numerical studies are conducted to validate the method and assess different transducer configurations, alongside experimental verifications on a benchmark TWHC containing a notch-type defect. Studies provide guidance on damage detection in TWHCs and sensor network design.
AB - Thick-walled hollow cylinders (TWHCs) are widely used in engineering structures and transportation systems, exemplified by train axles. The real-time and online health monitoring of such structures is crucial to ensure their structural integrity and operational safety. While elastic-wave-based structural health monitoring (SHM) shows promise, the development of feasible methods strongly relies on a good understanding and exploitation of the wave propagation properties and their interaction with structural defects. TWHCs usually bear multiple wave modes, which is a less investigated and explored topic as compared with thin-walled structures. This work examines this issue and proposes a dedicated damage localization strategy by using the selected waves captured on the inner surface of a TWHC. It is shown that, alongside the quasi-surface-waves on the outer surface, longitudinal waves converted from the thickness-through shear bulk waves are generated to propagate along the inner surface. Their propagation characteristics are exploited for damage localization based on hyperbolic loci methods through inner surface sensing. Numerical studies are conducted to validate the method and assess different transducer configurations, alongside experimental verifications on a benchmark TWHC containing a notch-type defect. Studies provide guidance on damage detection in TWHCs and sensor network design.
KW - Damage localization
KW - Mode conversion
KW - Quasi-surface-wave
KW - Thick-walled hollow cylinder
UR - http://www.scopus.com/inward/record.url?scp=85156196616&partnerID=8YFLogxK
U2 - 10.1016/j.ultras.2023.107027
DO - 10.1016/j.ultras.2023.107027
M3 - Review article
AN - SCOPUS:85156196616
SN - 0041-624X
VL - 133
JO - Ultrasonics
JF - Ultrasonics
M1 - 107027
ER -