With the increasing global population in recent decades and the increasing number of construction projects in the world, researchers and scientists from various sciences are thinking about restoration of civil engineering structures, which has reached to useful life of many of these structures. The failure of part of these structures leads to the destruction of the entire structure, which results in the wasting of large amounts of capital from owners and owners of these structures. Destruction and rebuilding of such structures are not at all cost-effective. Therefore, the science of health monitoring of structures in order to solve these problems has attracted researchers in recent years. So far, various methods, including X-rays and ... have been used to find the damaged member, but these methods can only be used on members of the structure that is available. And they are not comprehensive for the whole structure. For this purpose, vibration-based methods were introduced. Among the vibration-based methods, modal field methods have been of major interest to the researchers for their simplicity in performance. One of these methods is the mode shape curvature method, whose intrinsic ability to detect and locate damage is obvious to everyone. In this study, taking into account the noise generated by the mode shape data acquisition, more careful attention is needed in the field of damage detection. For this reason, the damage index was used as an indicator of the damage. The results indicate high accuracy of the method in identifying low-intensity damage and high noise level in higher modes.
Lopez-Higuera, J.M., et al. (2011). Fiber Optic Sensors in Structural Health Monitoring. Journal of Lightwave Technology, 29(4). 587-608.
Carden, E.P. and P. Fanning. (2004) Vibration Based Condition Monitoring: A Review. Structural Health Monitoring. 3(4). 355-377.
Wenzel, H. (2008) Health Monitoring of Bridges. John Wiley & Sons.
Ganguli, R. and S. Gouravaraju. (2016). Damage detection in cantilever beams using spatial Fourier coefficients of augmented modes. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science. 230(20). 3677-3690.
Yang, Z.-B., et al. (2017). Fourier spectral-based modal curvature analysis and its application to damage detection in beams. Mechanical Systems and Signal Processing. 84. 763-781.
Yang, Z.-B., et al. (2016). Scale-wavenumber domain filtering method for curvature modal damage detection. Composite Structures. 154. 396-409.
Salawu, O. and C. Williams. (1994). Damage location using vibration mode shapes, In: Proceedings of the 12th International Modal Analysis. 933.
Ooijevaar, T., et al. (2016). Impact damage identification in composite skin‐stiffener structures based on modal curvatures. Structural Control and Health Monitoring. 23(2). 198-217.
Dworakowski, Z., et al. (2016) Vision‐based algorithms for damage detection and localization in structural health monitoring. Structural Control and Health Monitoring. 23(1). 35-50.
Dincal, S. and N. Stubbs. (2014). Nondestructive damage detection in Euler–Bernoulli beams using nodal curvatures—Part II: Field measurements. Structural Control and Health Monitoring. 21(3). 331-341.
Kim, J.-T., et al. (2003) Damage identification in beam-type structures: frequency-based method vs mode-shape-based method. Engineering Structure. 25(1). 57-67.
Parloo, E., P. Guillaume. (2003). and M. Van Overmeire, Damage assessment using mode shape sensitivities. Mechanical systems and signal Processing. 17(3). 499-518.
Fan, W. and P. Qiao. (2011). Vibration-based damage identification methods: a review and comparative study. Structural Health Monitoring. 10(1). 83-111.
Pandey, A., M. Biswas, and M. Samman. (1991). Damage detection from changes in curvature mode shapes. Journal of sound and vibration. 145(2). 321-332.
Mohan, V., et al. (2014). Studies on damage detection using frequency change correlation approach for health assessment. Procedia Engineering. 86: p. 503-510.
Mehta, P., et al. (2017). Detection of Cracks in a Cantilever Beam Using Signal Processing and Strain Energy Based Model. In: IOP Conference Series: Materials Science and Engineering. IOP Publishing,
Zabihi Samani, M., & Ghanooni-Bagha, M. (2020). A new damage detection method using curvature mode shapes with considering the noise of the data transmission and minor damages. Journal of Structural and Construction Engineering, 7(2), 115-129. doi: 10.22065/jsce.2018.126372.1509
MLA
Masoud Zabihi Samani; Mohammad Ghanooni-Bagha. "A new damage detection method using curvature mode shapes with considering the noise of the data transmission and minor damages". Journal of Structural and Construction Engineering, 7, 2, 2020, 115-129. doi: 10.22065/jsce.2018.126372.1509
HARVARD
Zabihi Samani, M., Ghanooni-Bagha, M. (2020). 'A new damage detection method using curvature mode shapes with considering the noise of the data transmission and minor damages', Journal of Structural and Construction Engineering, 7(2), pp. 115-129. doi: 10.22065/jsce.2018.126372.1509
VANCOUVER
Zabihi Samani, M., Ghanooni-Bagha, M. A new damage detection method using curvature mode shapes with considering the noise of the data transmission and minor damages. Journal of Structural and Construction Engineering, 2020; 7(2): 115-129. doi: 10.22065/jsce.2018.126372.1509
)