Damage detection in composite beam type structure by strain measurements
Abstract
In this paper a technique for detecting multiple delamination in a weakly damaged composite beam is presented. The conventional techniques have been successfully used to detect single delamination in composite beams. However, these techniques were not as successful in detecting multiple delaminations particularly with measurement noise in the data. Moreover, the effectiveness of these techniques relies on the reference data with which the information is compared to discriminate the damage. The proposed technique uses the perturbation in the strain measurements along the beam axis to localize multiple delaminations. A Bayesian data fusion technique developed previously is used here with strain measurements to localize the delaminations by suppressing the noise. The smart statistical fusion of several likelihood functions screens out the false noisy peaks from the damage indices and accurately highlights the delamination locations. The simulation results in this paper indicate that the proposed technique accurately detects both delaminations with severity as small as 4% even when the data are contaminated with noise level up to 20% of the measured time response signal. For further smaller delaminations, the proposed technique was able to detect one damage clearly with 5% noise level.References
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[9] Baneen, U., & Guivant, J. E. (2015). A 2D Bayesian approach for damage detection in plate-type structures. Insight-Non-Destructive Testing and Condition Monitoring, 57(3), 144-152.
[10] Rucevskis, S., Janeliukstis, R., Akishin, P., & Chate, A. (2016). Mode shape‐based damage detection in plate structure without baseline data. Structural Control and Health Monitoring, 23(9), 1180-1193.
[11] Dahak, M., Touat, N., & Kharoubi, M. (2019). Damage detection in beam through change in measured frequency and undamaged curvature mode shape. Inverse Problems in Science and Engineering, 27(1), 89-114.
[12] Baneen, U., & Kausar, Z. (2018). A baseline-free modal strain energy method for damage localisation. International Journal of Civil Engineering, 16(6), 607-618.
[13] Vo-Duy, T., Ho-Huu, V., Dang-Trung, H., Dinh-Cong, D., & Nguyen-Thoi, T. (2016). Damage detection in laminated composite plates using modal strain energy and improved differential evolution algorithm. Procedia engineering, 142, 182-189.
[14] Tiachacht, S., Bouazzouni, A., Khatir, S., Zhou, Y. L., & Abdel Wahab, M. (2017). Damage detection and quantification in composite beam structure using strain energy and vibration data. In 12th International Conference on Damage Assessment of Structures (DAMAS) (Vol. 842). IOP Publishing.
[15] Behtani, A., Bouazzouni, A., Khatir, S., Tiachacht, S., Zhou, Y. L., & Wahab, M. A. (2017, May). Damage localization and quantification of composite stratified beam Structures using residual force method. In Journal of Physics: Conference Series (Vol. 842, No. 1).
[16] Alamdari, M. M., Li, J., & Samali, B. (2014). FRF-based damage localization method with noise suppression approach. Journal of Sound and Vibration, 333(14), 3305-3320.
[17] Niu, Z. (2020). Frequency response-based structural damage detection using Gibbs sampler. Journal of Sound and Vibration, 470, 115160.
[18] Mekalke, G. C., & Sutar, A. V. (2016). Modal Analysis of Cantilever Beam for Various Cases and its Analytical and FEA Analysis. International Journal of Engineering Technology, Management and Applied Sciences, 4(2), 60-66.
[2] Li, N., Ben Tahar, M., Aboura, Z., & Khellil, K. (2019). A vibration-based identification of elastic properties of stitched sandwich panels. Journal of Composite Materials, 53(5), 579-592.
[3] Yang, J. Y., Xia, B. H., Chen, Z., Li, T. L., & Liu, R. (2020). VIBRATION-BASED STRUCTURAL DAMAGE IDENTIFICATION: A REVIEW. International Journal of Robotics and Automation, 35(2).
[4] Sarah, J., Hejazi, F., Rashid, R. S., & Ostovar, N. (2019, November). A review of dynamic analysis in frequency domain for structural health monitoring. In IOP Conference Series: Earth and Environmental Science (Vol. 357, No. 1, p. 012007). IOP Publishing.
[5] Gulgec, N. S., Takáč, M., & Pakzad, S. N. (2019). Convolutional neural network approach for robust structural damage detection and localization. Journal of Computing in Civil Engineering, 33(3), 04019005.
[6] Montalvao, D., Maia, N. M. M., & Ribeiro, A. M. R. (2006). A review of vibration-based structural health monitoring with special emphasis on composite materials. Shock and vibration digest, 38(4), 295-324.
[7] Wu, S., Zhou, J., Rui, S., & Fei, Q. (2017). Reformulation of elemental modal strain energy method based on strain modes for structural damage detection. Advances in Structural Engineering, 20(6), 896-905.
[8] Baneen, U., & Guivant, J. E. (2013). Damage detection in fiber-reinforced composite beams by using a bayesian fusion method. Journal of Vibration and Acoustics, 135(6).
[9] Baneen, U., & Guivant, J. E. (2015). A 2D Bayesian approach for damage detection in plate-type structures. Insight-Non-Destructive Testing and Condition Monitoring, 57(3), 144-152.
[10] Rucevskis, S., Janeliukstis, R., Akishin, P., & Chate, A. (2016). Mode shape‐based damage detection in plate structure without baseline data. Structural Control and Health Monitoring, 23(9), 1180-1193.
[11] Dahak, M., Touat, N., & Kharoubi, M. (2019). Damage detection in beam through change in measured frequency and undamaged curvature mode shape. Inverse Problems in Science and Engineering, 27(1), 89-114.
[12] Baneen, U., & Kausar, Z. (2018). A baseline-free modal strain energy method for damage localisation. International Journal of Civil Engineering, 16(6), 607-618.
[13] Vo-Duy, T., Ho-Huu, V., Dang-Trung, H., Dinh-Cong, D., & Nguyen-Thoi, T. (2016). Damage detection in laminated composite plates using modal strain energy and improved differential evolution algorithm. Procedia engineering, 142, 182-189.
[14] Tiachacht, S., Bouazzouni, A., Khatir, S., Zhou, Y. L., & Abdel Wahab, M. (2017). Damage detection and quantification in composite beam structure using strain energy and vibration data. In 12th International Conference on Damage Assessment of Structures (DAMAS) (Vol. 842). IOP Publishing.
[15] Behtani, A., Bouazzouni, A., Khatir, S., Tiachacht, S., Zhou, Y. L., & Wahab, M. A. (2017, May). Damage localization and quantification of composite stratified beam Structures using residual force method. In Journal of Physics: Conference Series (Vol. 842, No. 1).
[16] Alamdari, M. M., Li, J., & Samali, B. (2014). FRF-based damage localization method with noise suppression approach. Journal of Sound and Vibration, 333(14), 3305-3320.
[17] Niu, Z. (2020). Frequency response-based structural damage detection using Gibbs sampler. Journal of Sound and Vibration, 470, 115160.
[18] Mekalke, G. C., & Sutar, A. V. (2016). Modal Analysis of Cantilever Beam for Various Cases and its Analytical and FEA Analysis. International Journal of Engineering Technology, Management and Applied Sciences, 4(2), 60-66.
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Published
2020-07-15
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Section
Mechanical Engineering, Automotive, Mechatronics, Textile, Industrial and Manufacturing Engineering
