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Diagnostic benchmarks on dynamic characteristics of thin-walled marine damaged structures

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Among structural health monitoring (SHM) methods of thin-walled structures, a vibrodiagnostic method is one of the most promising. The accelerometer recorded responses provide diagnostic information that requires mathematical processing to extract the essential dynamic characteristics. The authors have been looking for new parameters - diagnostic benchmarks which can be applied to non-destructive, automatic testing of thin-walled marine structures (especially their welded joints) like ship hulls. All characteristics have been based on recorded data generated during the vibration tests of welded joints with and without failures. For this purpose, the authors proposed method based on: FFT windowing analysis, benchmark with using 2D or 3D time – frequency dynamic characteristics and the determination of damping decrement in function of time. The work presents the algorithm and exemplary results obtained from the application of proposed method to several selected sample plates with different type of welds.
Rocznik
Strony
38--52
Opis fizyczny
Bibliogr. 18 poz., fig.
Twórcy
autor
  • Gdynia Maritime University, Poland
Bibliografia
  • 1. Abrantes, R.F.D. (2014). Electronic System for Non-Destructive Testing using Eddy Currents Array Probes, Tecnico Lisboa.
  • 2. Dae-Seung, C., Tae-Muk C., Jin-Hyeong, K. and Nikola, V. (2016). Structural intensity analysis of stepped thickness rectangular plates utilizing the finite element method, Thin-Walled Structures, 109, pp. 1-12.
  • 3. Jiawei, Y., Songlin Z., Hoang P. and Tie C. (2018). Reliability modeling of multi‐state degraded repairable systems and its applications to automotive systems. Quality and Reliability Engineering International, 34(3), pp. 459-474.
  • 4. Krause, M., Dackermann, U., Jianchun, L. (2015). Elastic wave modes for the assessment of structural timber: Ultrasonic echo for building elements and guided waves for pole and pile structures. Journal of Civil Structural Health Monitoring, 5(2), pp. 221-249.
  • 5. Masayasu, O. (2016). Innovative AE and NDT Techniques for On-Site Measurement of Concrete and Masonry Structures. Springer.
  • 6. Montewka, J., Ehlers, S., Goerlandt, F., Hinz, T., Tabri, K. and Kujala, P.A. (2014). framework for risk assessment for maritime transportation systems–A case study for open sea collisions involving RoPax vessels. Reliability Engineering and System Safety,124, pp. 142-157.
  • 7. Muc, A., Murawski, L. and Szeleziński, A. (2018). Methods of cracks detection in marine structures’ welded joints based on signals’ time waveform analysis. Brodogradnja/Shipbilding, 69(3), pp. 43-59.
  • 8. Murawski, L., Ostachowicz, W., Opoka, S., Mieloszyk, M. and Majewska, K. (2012). Practical application of monitoring system based on optical sensors for marine constructions. Key Engineering Materials, 518, pp. 261-270.
  • 9. Mvola, B., Suoranta, R. (2014). Real Time Non-Destructive Testing Methods of Welding, ReaserchGate.
  • 10. Onqpeng, J.M.C., Oreta, A. and Hirose S. (2018). Monitoring Damage Using Acoustic Emission Source Location and Computational Geometry in Reinforced Concrete Beams, MDPI.
  • 11. Opoka, S., Murawski, L., Wandowski, T., Malinowski, P. and Ostachowicz, W. (2013). Static – Strain Level Change Together with Detection of Transient Signal as Damage Indicator for Truss and Fame Structures. Strain, 49(4), pp. 287-298.
  • 12. Recho N. (2012). Fracture Mechanics and Crack growth, John WILEY.
  • 13. Runnemalm, A. (2012). Vibration Induced Disturbances in Automatic Non-destructive Testing, 18th World Conference on Nondestructive Testing.
  • 14. Senjanović, I., Vladimir, N., Tomić, M., Hadžić, N. and Malenica, Š. (2014). Some aspects of structural modelling and restoring stiffness in hydroelastic analysis of large container ships. Ships and Offshore Structures, 9(2), pp. 199-217.
  • 15. Szeleziński, A., Muc, A. and Murawski, L. (2017). Analysis concerning changes of structure damping in welded joints diagnostics. Journal of KONES Powertrain and Transport, 24(4), pp. 314-320.
  • 16. Szeleziński, A., Murawski, L. and Muc, A. (2016). Analysis of ability to detect defects in welding structures with usage of dynamic characteristics spectrums. Journal of KONES Powertrain and Transport, 23(2), pp. 365-372.
  • 17. Vizentin, G., Vukelić, G. (2017). Common failures of ship propulsion shafts. Pomorstvo, 31(2), pp. 85-90.
  • 18. Vukelić, G., Brnić, J. (2016). Predicted Fracture Behaviour of Shaft Steels with Improved Corrosion Resistance, Metals, 6(2), pp. 1-9.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-16780674-1f72-4f47-ae54-07edb240f8ee
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