DAMAGE LOCATION DETECTION IN COMPLEX MECHANICAL ASSEMBLIES
Abstract
Structural damage occurs in any system, mechanical or not, even in living things. Mechanical damage means the appearance of irreversible changes in structural characteristics. Methods for structural monitoring are ways to estimate any changes in structural strength. Damage detection techniques give warnings at the right moment on duty before failure of the structure create more damages. After years of research damage detection techniques evolve to a higher level for localization of damage in complex assemblies. Finding the precise location of the damaged area helps in taking the first action to avoid catastrophic failure to the structure. This study presents an improved DLAC method for damage localization technique applied to a conceptual mechatronic system for laparoscopic surgery.
Full Text:
PDFReferences
Kabashima, S., Ozaki, T., and Takeda, N., Damage detection of satellite structures by optical fiber with small diameter”, Smart Structures and Integrated System, 2000, vol. 3985, pp. 343–351. doi:10.1117/12.388837.
Qi, L, Yan, R., Sun, L., (2017), A Study of Structural Damage Detection for Spacecraft In-Orbit Based on Acoustic Sensor Array,
International Journal of Aerospace and Mechanical Engineering, 1307-6892.
Casas J.R., Moughty J.J., (2017), Bridge Damage Detection Based on Vibration Data: Past and New Developments, Frontiers in Built Environment, Vol.3, ISSN=2297-3362, DOI=10.3389/fbuil.2017.00004
Döhler, M.,Hille, F., Mevel, L. & Rücker, W., (2014), Structural health monitoring with statistical methods during progressive damage test of S101 Bridge, Engineering Structures Press, vol.69, pp183–193.
Lakshmi, K., Keerthivas, M., (2021), Damage diagnosis of high-rise buildings under variable ambient conditions using subdomain approach, Inverse Problems in Science and Engineering, 29:13, 2579-2610, DOI: 10.1080/17415977.2021.1941922
Bukhsh, Z.A., Jansen, N. & Saeed, A., (2021), Damage detection using in-domain and cross-domain transfer learning. Neural Comput & Applic, vol. 33, 16921–16936 https://doi.org/10.1007/s00521-021-06279-x
Zhili Hea, et all, (2022), Automatic damage detection using anchor-free method and unmanned surface vessel, Automation in Construction Jr., Volume 133, 104017
Chiou, D.-J. et al. (2011) “Applications of Hilbert-Huang transform to structural damage detection”, Structural Engineering and Mechanics, Volume 39 Issue 1 / Pages.1-20, 1225-4568(pISSN) / 1598-6217(eISSN) doi: 10.12989/SEM.2011.39.1.001.
Ohad Gur, (2020), Aircraft Damage Detection Using Metamodeling techniques, Israel Aerospace Industries Papers, Esteco Journal
Chady, T.; Okarma, K.; Mikolajczyk, R.; Dziendzikowski, M.; Synaszko, P.; Dragan, K., (2021), Extended Damage Detection and Identification in Aircraft Structure Based on
Multifrequency Eddy Current Method and Mutual Image Similarity Assessment, Materials Journal, vol.14, pp.4452., https://doi.org/10.3390/ma14164452
Ulriksen, M.D., Tcherniak, D., Kirkegaard, P.H., Damkilde, L., (2016), Operational modal analysis and wavelet transformation for damage identification in wind turbine blades, Structural Health Monitoring, vol. 4, pp.381-388.
Bartlett, M.D., Markvicka, E.J., Tutika, R., Majidi, C., (2019), Soft-matter damage detection systems for electronics and structures, Proc.SPIE10971, Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and
Transportation XIII, https://doi.org/10.1117/12.2514311
Dragne, C., Chiroiu, V., Iliescu, M., Todirite, I., (2022), Damage detection and smart warning for eventual structure failures in mechatronic systems, IEEE World Conference on Applied Intelligence and Computing AIC2022.
Ewins, D.J., (1985), Modal Testing: Theory and Practice, Wiley, New York.
Doebling, S., Farrar, C., and Prime, M., (1998), A summary review of vibration-based damage identification methods, Shock and Vibration Digest, 30, p. 91-105.
Friswell, M. I., and Mottershead, J. E., Finite Element Model Updating in Structure Dynamics, Netherlands, Kluwer Academic Publishers, (1995).
Casas Joan R., Moughty J.J., (2017), Bridge Damage Detection Based on Vibration Data: Past and New Developments, Frontiers in Built Environment, vol3, DOI=10.3389/fbuil.2017.00004.
K. He and W.D. Zhu, (2011), Structural Damage Detection Using Changes in Natural Frequencies: Theory and Applications, J. Phys.: Conf. Ser. 305 012054.
Peng, C et all, (2015), Damage Detection and Quantification Using Transmissibility Coherence Analysis, Shock and Vibration Journal, https://doi.org/10.1155/2015/290714.
Mohan, V., Parivallal, S., Kesavan, K., Arunsundaram, B., Farvaze, A.K., Ravisankar, K., (2014), Studies on Damage Detection Using Frequency Change Correlation Ap-proach for Health Assessment, Procedia Engineering, Volume 86, Pages 503-510, ISSN 1877-7058, https://doi.org/10.1016/j.proeng.2014.11.074
Yang, Zhichun & Wang, Le., (2010), Structural Damage Detection by Changes in Natural Frequencies, Journal of Intelligent Material Systems and Structures - J INTEL MAT SYST STRUCT. 21. 309-319. 10.1177/1045389X09350332.
Yan, A., Kerschen, G., De Boe, P., and Golinval, J., Structural damage diagnosis under varying environmental conditions part I: a linear analysis. Mech. Syst. Signal Process. 19, 847–864. doi:10.1016/j.ymssp.2004.12.002, (2005).
Messina, A., Jones, I., and Williams, E., (1992), Damage detection and localization using natural frequency changes, Proceedings of the 1st Conference on Identification, Cambridge, England, UK, 1, p. 67-76.
Dragne, C., Stewart Platform – Damage Detection Based on Frequency Shift, SISOM and Session of the Commission of Acoustics, Bucharest 23 Oct. 2021.
Ferrarese, Alessia et al., Malfunctions of robotic system in surgery: role and responsibility of surgeon in legal point of view, Open medicine (Warsaw, Poland) vol. 11,1 286-291. 2 Aug. 2016, doi:10.1515/med-2016-0055.
https://www.mathworks.com/help/ , accessed on 2022
https://www.solidworks.com/ , accessed on 2022
https://grabcad.com/ciprian.dragne/ , accessed on 2022.
Refbacks
- There are currently no refbacks.