Damage localization and quantification in the Catwalk of Foroozan offshore complex using improved modal strain energy method

Authors

1 Department of Marine Industries, Science and Research Branch, Islamic Azad University, Tehran, Iran

2 Department of Maritime Engineering, Amirkabir University of Technology, Tehran, Iran.

3 Department of Civil Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran

Abstract

As one of the most important components of an offshore oil and gas complex, Catwalk (access bridge) provides support for equipment and act as a passage for staff. Therefore, any damage in this structure may result in casualties as well as financial and environmental losses. Hence, identifying the location and severity of damage in these structures is of a great importance. As a common SHM method, modal strain energy uses the changes in the dynamic properties of the structure for identifying the damage location and severity. Considering natural frequencies in the process of the damage localization is one of modifications that has been successfully applied to this method. In order to show the robustness of this method for identifying damages in real class offshore structures with a large number of elements, the improved modal strain energy (IMSE) method is applied for damage localization and quantification in the access bridge of Foroozan platform in the Persian Gulf. The results showed that the IMSE damage index is more accurate than the original Stubbs index. Both the single and multiple damages were predicted with a good accuracy with this method. However, the method was more accurate in locating the damages in horizontal elements as well as the elements far from the supports of the structure.

Keywords

References

[1] El-Reedy, M. A, (2015), Introduction to offshore structures, Marine Structural Design Calculations, s.l. : Butterworth-Heinemann, pp. 1-12.
[2] Doebling, S., et al., et al, (1996), Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristics: A literature review, s.l. : Los Alamos National Laboratory.
[3]. Balageas, D, (2006), Introduction to Structural Health Monitoring, Structural Health Monitoring, s.l. : Wiley, pp. 13-43. [4]. Cawley, P. and Adams, R. D, (1979), The location of defects in structures from measurement of natural frequencies, The Journal of Strain Analysis for Engineering Design, Vol. 14, pp. 49-57.
[5]. Shahrivar, F. and Bouwkamp, G, (1986), Damage detection in offshore platforms using vibration information, Journal of Energy Resources Technology, Vol. 108, pp. 97-106.
[6]. Hansen, S. R. and Vanderplaats, G. N., (1990), Approximation method for configuration optimization of trusses, AIAAJ, Vol. 28, pp. 161-168.
[7]. Doebling, S., et al., et al, (1993), Selection of experimental modal data sets for damage detection via model update, 34th Structures, Structural Dynamics and Materials Conference.
[8]. Kim, J. T. and Stubbs, N, (1995), Damage detection in offshore jacket structures from limited modal information, International Journal of Offshore and Polar Engineering, Vol. 5, pp. 58-66.
[9]. Stubbs, N., Kim, J. T. and Farrar, C. R., (1995), Field verification of a non-destructive damage localization and severity estimation algorithm, Proceedings of the 13th International Modal Analysis Conference.
[10]. Stubbs, N. and Kim, J. T., (1996), Damage localization in structures without baseline modal parameters, AIAA Journal, Vol. 34, pp. 1644-1649.
[11]. Salawu, O. S., (1997), Detection of structural damage through changes in frequency: a review, Engineering Structures, Vol. 19, pp. 718-723.
[12]. Farrar, C. R. and Jauregui, D. A., (1998), Comparative study of damage identification algorithms applied to a brdige: II. Numerical study, Smart Materials and Structures, Vol. 7, pp. 720-731.
[13]. Kim, J. T. and Stubbs, N., (2002), Improved damage identification method based on modal information, Journal of Sound and Vibration, Vol. 252, pp. 223-238.
[14]. Li, Y. Y., et al., et al., (2002), Identification of damage locations for plate-like structures using damage sensitive indices: strain modal approach, Computers & Structures, Vol. 80, pp. 1881-1894.
[15]. Yang, H. Z., Li, H. J. and Wang, S. Q., (2003), Damage localization of offshore platforms under ambient excitation, China Ocean Engineering, Vol. 17, pp. 495-504.
[16]. Ge, M. and Lui, E. M, (2005), Structural damage identification using system dynamic properties, Computers & Structures, Vol. 83, pp. 2185-2196.
[17]. Shih, H. W., Thambiratnam, D. P. and Chan, T. H.T., (2009), Vibration based structural damage detection in flexural members using multi-criteria approach, Journal of Sound and Vibration, Vol. 323, pp. 645-661.
[18]. Hu, H. and Wu, C., (2009), Development of scanning damage index for the damage detection of plate structures using modal strain energy method, Mechanical Systems and Signal Processing, Vol. 23, pp. 274-287.
[19]. Seyedpoor, S. M., (2012), A two stage method for structural damage detection using a modal strain energy based index and particle swarm optimization, International Journal of Non-Linear Mechanics, Vol. 47, pp. 1-8.
[20]. Liu, F., et al., et al., (2014), Experimental study of improved modal strain energy method for damage localisation in jecket-type offshore wind turbines, Renewable Energy, Vol. 72, pp. 174-181.
[21]. Seyedpoor, S. M. and Yazdanpanah, O., (2014), An efficient indicator for structural damage localization using the change of strain energy based on static noisy data, Applied Mathematical Modeling, Vol. 38, pp. 2661-2672.
[22]. Wang, S., Liu, F. and Zhang, M., (2014), Modal strain energy based structural damage localization for offshore platform using simulated and measured data, Journal of Ocean University of China, Vol. 13, pp. 397-406.
[23]. Giles, R. K., et al., et al., (2011), Structural Health Indices for Steel Truss Bridges, Civil Engineering Topics, Vol. 4, pp. 391-399.
[24]. Modares, M. and Waksmanski, N., (2013), Overview of structural health monitoring for steel bridges, Practice Periodical on Structural Design and Construction, Vol. 18, pp. 187-191.
[25]. Budipriyanto, A. and Susanto, T., (2015), Dynamic response of a steel railway bridge for the structure's condition assessment, Procedia Engineering, Vol. 125, pp. 905-910.
[26]. Li, J. and Hao, H., (2016), A review of recent research advances on structural health monitoring in Western Australia, Structural Monitoring and Maintenance, Vol. 3, pp. 33-49.
[27]. Ding, Y., et al., et al., (2019), Structural health monitoring of the scaffolding dismantling process of a long-span steel box girder viaduct based on BOTDA technology, Advances in Civil Engineering, Vol. 2019, pp. 1-8.
[28]. [Online] http://www.iooc.co.ir/.
[29]. Li,Y., et al., et al., (2016), An improved modal strain energy method for damage detection in offshore platform structures, Journal of Marine Science and Application, Vol. 15, pp. 182-192.
[30]. [Online] https://www.nsenergybusiness.com/ projects/forouzan-oil-field-expansion/.

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