A Damage Identification Method Based on Differential Gradient of Normalized Strain

Abstract:

A damage identification method based on differential gradient of normalized strain (DGNS) is presented to overcome the disadvantages of traditional static damage identification, such as the complicacy of measurement system and the limited measurement points etc. Two numerical simulations were conducted on a dog-bone specimen to verify the feasibility of the method. In the experiment, differential of strain contour density (DSCD), which has the same physical meaning with DGNS，significantly improves the smoothness and visualization of field information. Both the simulation and experiment results show that, DGNS (DSCD) is capable of describing the structural damage property meanwhile effectively isolates the damaged areas from regions with inhomogeneous deformation due to geometric inhomogeneity. Moreover, DGNS (DSCD) is a structural intrinsic parameter, and independent on external loads.

• Periodical: Applied Mechanics and Materials (Volume 330)
• Pages: 321-330
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.330.321
• Online since: June 2013
• Authors: Ling Ling Lu, Chen Guang Huang, Xi Wang
• Keywords: Damage Identification, Differential Gradient of Normalized Strain (DGNS), Differential of Strain Contour Density (DSCD), Digital Image Correlation (DIC), Structural Health Monitoring (SHM)

References

[1] J. Chen, J. A. Garba. On-Orbit damage assessment for large space structures. AIAA Journal, Vol.26, No.9, 1988, pp.1119-1126

DOI: 10.2514/3.10019

[2] Y.J. Yan, L. Cheng, Z.Y. Wu, L.H. Yam. Development in vibration-based structural damage detection technique. Mechanical systems and signal processing, Vol.21, 2007,pp.2198-2211

DOI: 10.1016/j.ymssp.2006.10.002

[3] Peters W H, Ranson W F. Digtial imaging techniques in experimental stress analysis. Optical Engineering, Vol.21, 1982, pp.427-431

[4] Yamaguchi I. Simplified laser-speckle strain gauge. Optical Engineering, Vol.21, 1982, pp.436-440

[5] T.Niendorf, J. Dadda, D. Canadinc, H. J. Maier, I. Karaman. Monitoring the fatigue-induced damage evolution in ultrafine-grained interstitial-free steel utilizing digital iamge correlation. Materials science and engineering A, Vol.517, 2009, pp.225-234

DOI: 10.1016/j.msea.2009.04.053

[6] Marion Risber, Pierre Feissel, Thierry Roland, Delphine Brancherie, Jean-Marc Roelandt. Digital image correlation technique: application to early fatigue damage detection in stainless steel. Procedia engineering, Vol.2, 2010, p.2219~2227

DOI: 10.1016/j.proeng.2010.03.238

[7] M. Li, J. Zhang, C. Y .Xiong, J. Fang, J. M. Li, Y. Hao. Damage and fracture prediction of plastic-bonded explosive by digital image correlation processing. Optics and lasters engineering, Vol. 43, 2005, pp.856-868

DOI: 10.1016/j.optlaseng.2004.09.003

[8] Sophia Hassiotis, Garrett D. Jeong. Identification of stiffness reductions using natural frequcies. Journal of engineering mechanics, Vol.10, 1995, pp.1106-1113

DOI: 10.1061/(asce)0733-9399(1995)121:10(1106)

[9] V. Ramamurti, Sumanta Neogy. Effect of cracks on the natural frequency of cantilevered plates-A Rayleigh-Ritz solution. Mechanics of structures and machines, Vol.26, 1998, pp.131-143

DOI: 10.1080/08905459808945424

[10] Pandey A. K, Biswas M. Experimental verification of flexibility difference method for locating damage in structures. Journal of sound and vibration, Vol.184, No. 2, 1995, pp.311-328

DOI: 10.1006/jsvi.1995.0319

[11] Pan Bing, Xu Boqin, Chen Ding, et al. Sub-pixel registration using quadratic surface fitting in digital image correlation. Acta Metrologica Sinca,Vol.26, No.2, 2005, pp.128-134

[12] Yang Yong, Wang Yanlei, Li Ming, et al. Research of high-accuracy digital image correlation measurement system. Acta Optica Sinica, Vol.26, No.2, 2006, pp.197-201

[13] Yu Qifeng. Image based precise measurement and motion measurement. Beijing: Science Press, (2002)

[14] Bruck HA, McNeil SR, Sutton MA, et al. Digital image correlation using Newton-Rapshon method of partial differential correction. Experimental Mechanics, Vol.29, No.3, 1989, pp.261-267

DOI: 10.1007/bf02321405

[15] Pilch A, Mahajan A, Chu T. Measurement of whole-field surface displacements and strain using a genetic algorithm based intelligent image correlation method. Journal of dynamic Systems, Measurement and Control. Transactions of the ASME, Vol.126, No.3, 2004, pp.479-488

DOI: 10.1115/1.1789968

[16] Pan Bing, Xie Huimin, Dai Fulong. An investigation of sub-pixel displacement registration algorithms in digital image correlation. Chinese Journal of Theoretical and applied mechanics, Vol.39, No.2, 2007,p.24