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Modal-Based Detection of Bolt Loosening in Steel Structures: EMA vs. OMA Comparison

پذیرفته شده برای ارائه شفاهی ، صفحه 1-8 (8)
کد مقاله : 1089-ISAV2023 (R2)
نویسندگان
1Center of Advanced Systems and Technologies (CAST), School of Mechanical Engineering, University of Tehran
2استاد دانشکده فنی دانشگاه تهران
چکیده
The loosening of bolted connections within structural elements poses a significant threat to their load-bearing capacity. Early detection of such loosening is paramount to prevent structural failures. However, traditional non-destructive testing methods often struggle to identify bolted connection issues due to the intricate geometry and material disparities present within these connections. In response to this challenge, a vibration-based approach emerges as a promising solution, utilizing changes in the natural frequencies of structures to pinpoint the extent of damage, particularly in bolted connections. This article presents experimental investigations to detect loosening within bolted connections in a lab-scale steel beam using both Experimental Modal Analysis (EMA) and Operational Modal Analysis (OMA). The results demonstrate the successful detection of the extent of loosened bolted connections during experimental damage assessments. The findings presented herein underscore the efficacy of a vibration-based approach in detecting bolt loosening, contributing to advancing structural health monitoring and mitigating potential catastrophic failures.
کلیدواژه ها
موضوعات
 
Title
Modal-Based Detection of Bolt Loosening in Steel Structures: EMA vs. OMA Comparison
Authors
Abstract
The loosening of bolted connections within structural elements poses a significant threat to their load-bearing capacity. Early detection of such loosening is paramount to prevent structural failures. However, traditional non-destructive testing methods often struggle to identify bolted connection issues due to the intricate geometry and material disparities present within these connections. In response to this challenge, a vibration-based approach emerges as a promising solution, utilizing changes in the natural frequencies of structures to pinpoint the extent of damage, particularly in bolted connections. This article presents experimental investigations to detect loosening within bolted connections in a lab-scale steel beam using both Experimental Modal Analysis (EMA) and Operational Modal Analysis (OMA). The results demonstrate the successful detection of the extent of loosened bolted connections during experimental damage assessments. The findings presented herein underscore the efficacy of a vibration-based approach in detecting bolt loosening, contributing to advancing structural health monitoring and mitigating potential catastrophic failures.
Keywords
Modal Analysis, natural frequencies, Structural health monitoring, bolt loosening
مراجع
  1. Rahman, A. G. A., Z. C. Ong & Z. Ismail (2011). "Enhancement of coherence functions using time signals in Modal Analysis." Measurement 44(10): 2112–2123.\ Mallat, A Wavelet Tour of Signal Processing, Academic Press, New York, 1998.
  2. Zhu, Y. M. (2023). "Operational modal analysis of two typical UHV transmission towers: A comparative study by fast Bayesian FFT method." Engineering Structures 277: 115425.
  3. Wang, X., Z. Zhu and S.-K. Au (2023). "Bayesian operational modal analysis of structures with tuned mass damper." Mechanical Systems and Signal Processing 182: 109511.
  4. Volkmar, R., et al. (2023). "Experimental and operational modal analysis: Automated system identification for safety-critical applications." Mechanical Systems and Signal Processing 183: 109658.
  5. Orlowitz, E. and A. Brandt (2017). "Comparison of experimental and operational modal analysis on a laboratory test plate." Measurement 102: 121-130.
  6. Chen T., Yao C., Wang X., Yu Q. Study on vibration damping design of single-steel-pole lightning rod. Building Structure, Vol. 48, 2018, p. 20-25.
  7. Chen D., Huo L., Li H., Song G. A fiber bragg grating (FBG)-enabled smart washer for bolt pre-load measurement: design, analysis, calibration, and experimental validation. Sensors, Vol. 18, Issue 8, 2018, p. 2586.
  8. Jin W. Q., Han S. S., Fei J. D., Shi Z. L., Chen W. B., Bao W. M., Yang J., Gong W., Su J. Z., Lv Y. G., Xie Y., Sun J. On-line bolt-loosening detection method of key components of running trains using binocular vision. Proceedings of SPIE – The International Society for Optical Engineering, Vol. 10605, 2017, p. 1060513.
  9. Zhao Y. S., Yang C., Cai L. G., Shi W. M., Liu Z. F. Surface contact stress-based nonlinear virtual material method for dynamic analysis of bolted joint of machine tool. Precision Engineering, Vol. 43, 2016, p. 230-240.
  10. Buijsen M J D 2011 Dynamic Space Frame Structures
  11. Tien T L 1999 Space Frame Structures
  12. Avitabile P J S and vibration 2001 Experimental modal analysis 35 20-31
  13. Larbi N, Lardies J J M S and Processing S 2000 Experimental modal analysis of a structure excited by a random force 14 181-92
  14. [14] Nazri N A, Sani M S M, Mansor M N and Zahari S N 2018 Model Updating of Friction Stir Welding for Aluminium and Magnesium Plate Structure. In: MATEC Web of Conferences: EDP Sciences) p 04004
  15. Pandey A, Biswas M, Samman M J J o s and vibration 1991 Damage detection from changes in curvature mode shapes 145 321-32
  16. Qin, Q. Han, F. Chu, Bolt loosening at rotating joint interface and its influence on rotor dynamics, Eng. Fail. Anal. 59 (2016) 456–466.
  17. Ghaderi, H. Ghaffarzadeh, V.A. Maleki, Investigation of vibration and stability of cracked columns under axial load, Earthq. Struct. 9 (6) (2015) 1181–1192.
  18. Rostamijavanani, M.R. Ebrahimi, S. Jahedi, Thermal post-buckling analysis of laminated composite plates embedded with shape memory alloy fibers using semianalytical finite strip method, J. Fail. Anal. Prev. 21 (1) (2021) 290–301.
  19. Alijani, M. Kh, J. Abadi, A.J. Razzaghi, Numerical analysis of natural frequency and stress intensity factor in Euler-Bernoulli cracked beam, Acta Mech. 230 (2019) 4391–4415.
  20. Mottaghian, A. Darvizeh, A. Alijani, A novel finite element model for large deformation analysis of cracked beams using classical and continuum-based approaches, Arch. Appl. Mech. 89 (2) (2019) 195–230.
  21. N. Nguyen, C.H. Thai, A.-T. Luu, H. Nguyen-Xuan, J. Lee, NURBS-based postbuckling analysis of functionally graded carbon nanotube-reinforced composite shells, Comput. Methods Appl. Mech. Eng. 347 (2019) 983–1003.
  22. S. Na, Bolt loosening detection using impedance based non-destructive method and probabilistic neural network technique with minimal training data, Eng.

Struct. 226 (2021) 111–134

  1. S. Na, A portable bolt-loosening detection system with piezoelectric-based nondestructive method and artificial neural networks, Struct. Health Monitor. 134(2021) 12–34.
  2. A. Maleki, N. Mohammadi, Buckling analysis of cracked functionally graded material column with piezoelectric patches, Smart Mater. Struct. 26 (3) (2017) 23-45.
  3. Du, C. Xu, H. Ren, C. Yan, Structural Health Monitoring of Bolted Joints Using Guided Waves: A Review, Struct. Health Monitor. Sens. Process. 163 (2018) 45–67.
  4. Zhang, L., & Brincker, R. (2005). An Overview of Operational Modal Analysis: Major Development and Issues. In R. Brincker, & N. Møller (Eds.), Proceedings of the 1st International Operational Modal Analysis Conference, April 26-27, 2005, Copenhagen, Denmark (pp. 179-190). Aalborg Universiteit.
  5. Brincker and C. E. Ventura, Introduction to Operational Modal Analysis. John Wiley & Sons, Ltd, (2015).
  6. D. A. Hasan, Z. A. B. Ahmad, M. S. Leong, and L. M. Hee, "Enhanced frequency domain decomposition algorithm: A review of a recent development for unbiased damping ratio estimates," Vibroengineering. 2018.
  7. Brownjohn, J.M.W., Magalhaes, F., Caetano, E., Cunha, A. (2010) Ambient vibration re-testing and operational modal analysis of the Humber Bridge, Engineering Structures, 32 (8), pp. 2003-2018.
  8. Matteo, A., Masnata, C., Russotto, S., Bilello, C., & Pirrotta, A. (2020). A novel identification procedure from ambient vibration data. A Novel Identification Procedure from Ambient Vibration Data for Buildings of the Cultural Heritage, 56(4), 797–812.
  9. Mohammadi and M. Nasirshoaibi, “Modal parameter identification of a three-storey structure using frequency domain techniques FDD and EFDD and time domain technique SSI: experimental studies and simulations,” Journal of Vibroengineering, Vol. 19, No. 4, pp. 2759–2776, Jun. 2017.
  10. Al Rumaithi, Ayad, "Characterization of Dynamic Structures Using Parametric and Non-parametric System Identification Methods" (2014). Electronic Theses and Dissertations, 2004-2019. 1325. https://stars.library.ucf.edu/etd/1325.