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Civil-Comp Proceedings
ISSN 1759-3433 CCP: 79
PROCEEDINGS OF THE SEVENTH INTERNATIONAL CONFERENCE ON COMPUTATIONAL STRUCTURES TECHNOLOGY Edited by: B.H.V. Topping and C.A. Mota Soares
Paper 240
Application of the Damage Location Vector Method in Crack Detection D. Huynh and D. Tran
School of Architectural, Civil and Mechanical Engineering, Victoria University of Technology, Melbourne, Australia Full Bibliographic Reference for this paper
D. Huynh, D. Tran, "Application of the Damage Location Vector Method in Crack Detection", in B.H.V. Topping, C.A. Mota Soares, (Editors), "Proceedings of the Seventh International Conference on Computational Structures Technology", Civil-Comp Press, Stirlingshire, UK, Paper 240, 2004. doi:10.4203/ccp.79.240
Keywords: crack detection, plate structure, structural damage detection, non-destructive testing, vibration test, frequency response function, coordinate incompatibility, noise.
Summary
One of the most interesting inverse problem in vibration and modal analysis is
to determine the spatial model represented by the structural stiffness matrix
![]() ![]() ![]() ![]() In this paper it is shown that DLV can be used for more complex plate structures. By using the abundance of FRF data, it can overcome the problem of noise and coordinate incompatibility between the theoretical model and the experimental vibration model that experimental FRF data obtained by vibration tests would inherently possess. It was found that for the cantilever plate the effect of experimental noise on damage detection by DLV was negligible and randomly distributed, even when only one third of the FRFs could be obtained by experiments, indicating that the method of dynamic expansion could be employed to estimate the unmeasured FRFs. It was also found that in the case of a plate structure, the effect of damage in an element is felt primarily by its nodes and to some lesser extent by the neighbouring nodes. Although the effect decays quickly, it complicates the identification of damages in the case of multi-site damage. Further studies are needed to improve the dynamic expansion of unmeasured FRF data and to provide scheme of automatic interpretation of damage and make DLV a practical tool in structural damage detection for more complex hybrid structures. References
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