全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

Quantitative Acoustic Emission Fatigue Crack Characterization in Structural Steel and Weld

DOI: 10.1155/2013/461529

Full-Text   Cite this paper   Add to My Lib

Abstract:

The fatigue crack growth characteristics of structural steel and weld connections are analyzed using quantitative acoustic emission (AE) technique. This was experimentally investigated by three-point bending testing of specimens under low cycle constant amplitude loading using the wavelet packet analysis. The crack growth sequence, that is, initiation, crack propagation, and fracture, is extracted from their corresponding frequency feature bands, respectively. The results obtained proved to be superior to qualitative AE analysis and the traditional linear elastic fracture mechanics for fatigue crack characterization in structural steel and welds. 1. Introduction Paris and Erdogan [1] demonstrated that linear elastic fracture mechanics (LEFM) is a useful tool for characterizing crack growth by fatigue. Since that time, application of fracture mechanics to fatigue problems has become a fair routine. Acoustic emission technology is the most appropriate nondestructive testing (NDT) method for studying fatigue crack growth in civil engineering structure because it can monitor its health in real time [2]. Effective crack detection may lead to an early warning. The AE technique can be used to continuously detect slight deformation and damage in the interior of materials. In other words, sampling AE signals and analyzing their characteristics may contribute to the understanding of the real-time failure behavior of materials [3]. The AE parametric analyses have been commonly employed during fatigue crack growth characterization. Ohtsu and Tomoda [4] reported that the AE waveform shape depends on the cracking mode, enabling the classification of cracks in different materials. Shear cracks generally follow tensile as the material approaches to final failure. Yoneda and Ye [5] report that failure phenomena in metals can be interpreted by evaluating the amplitude distribution, AE event count, and total AE energy. Aggelis et al. [6] discuss the application of other AE parameters, such as rise angle (RA) value, rise time (RT), AE hit rate, and duration damage characterization of metal. They realized that as the duration and RT increase, there is a shift of cracking mode from tensile to shear. Boinet et al. [7] correlated the AE parameters like rise time and duration with corrosive processes in aluminium. A good correlation between AE parameters and fracture mechanics principles during fatigue has been reported by [8, 9]. Grosse et al. [10] reported the pros and cons of the parametric AE analysis. They postulated that in practical applications it can be difficult to

References

[1]  P. C. Paris and F. Erdogan, “Critical analysis of crack propagation Laws,” Journal of Basic Engineering, vol. 85, pp. 528–534, 1960.
[2]  T. M. Roberts and M. Talebzadeh, “Fatigue life prediction based on crack propagation and acoustic emission count rates,” Journal of Constructional Steel Research, vol. 59, no. 6, pp. 679–694, 2003.
[3]  L. Yang, Y. C. Zhou, W. G. Mao, and C. Lu, “Real-time acoustic emission testing based on wavelet transform for the failure process of thermal barrier coatings,” Applied Physics Letters, vol. 93, no. 23, Article ID 231906, 2008.
[4]  M. Ohtsu and Y. Tomoda, “Phenomenological model of corrosion process in reinforced concrete identified by acoustic emission,” ACI Materials Journal, vol. 105, no. 2, pp. 194–199, 2008.
[5]  K. Yoneda and J. Ye, “Crack propagation and acoustic emission behavior of silver-added Dy123 bulk superconductor,” Physica C, vol. 445–448, no. 1-2, pp. 371–374, 2006.
[6]  D. G. Aggelis, E. Z. Kordatos, and T. E. Matikas, “Acoustic emission for fatigue damage characterization in metal plates,” Mechanics Research Communications, vol. 38, no. 2, pp. 106–110, 2011.
[7]  M. Boinet, J. Bernard, M. Chatenet, F. Dalard, and S. Maximovitch, “Understanding aluminum behaviour in aqueous alkaline solution using coupled techniques. Part II: acoustic emission study,” Electrochimica Acta, vol. 55, no. 10, pp. 3454–3463, 2010.
[8]  P. Johan Singh, C. K. Mukhopadhyay, T. Jayakumar, S. L. Mannan, and B. Raj, “Understanding fatigue crack propagation in AISI 316 (N) weld using Elber's crack closure concept: experimental results from GCMOD and acoustic emission techniques,” International Journal of Fatigue, vol. 29, no. 12, pp. 2170–2179, 2007.
[9]  K. Bruzelius and D. Mba, “An initial investigation on the potential applicability of Acoustic Emission to rail track fault detection,” NDT and E International, vol. 37, no. 7, pp. 507–516, 2004.
[10]  C. U. Grosse, H. Reinhardt, and T. Dahm, “Localization and classification of fracture types in concrete with quantitative acoustic emission measurement techniques,” NDT and E International, vol. 30, no. 4, pp. 223–230, 1997.
[11]  S. Park, N. Stubbs, and R. W. Bolton, “Damage detection on a steel frame using simulated modal data,” in Proceedings of the 16th International Modal Analysis Conference (IMAC '98), pp. 616–622, Santa Barbara, Calif, USA, February 1998.
[12]  W. X. Ren and G. de Roeck, “Structural damage identification using modal data. I: simulation verification,” Journal of Structural Engineering, vol. 128, no. 1, pp. 87–95, 2002.
[13]  S. W. Doebling, C. R. Farrar, and M. B. Prime, “A summary review of vibration-based damage identification methods,” Shock and Vibration Digest, vol. 30, no. 2, pp. 91–105, 1998.
[14]  S. A. Neild, P. D. McFadden, and M. S. Williams, “A review of time-frequency methods for structural vibration analysis,” Engineering Structures, vol. 25, no. 6, pp. 713–728, 2003.
[15]  H. Kim and H. Melhem, “Damage detection of structures by wavelet analysis,” Engineering Structures, vol. 26, no. 3, pp. 347–362, 2004.
[16]  M. A. Hamstad, A. O'gallagher, and J. Gary, “A wavelet transform applied to acoustic emission signals: part 1: source identification,” Journal of Acoustic Emission, vol. 20, pp. 39–61, 2002.
[17]  R. Khamedi, A. Fallahi, and A. R. Oskouei, “Effect of martensite phase volume fraction on acoustic emission signals using wavelet packet analysis during tensile loading of dual phase steels,” Materials and Design, vol. 31, no. 6, pp. 2752–2759, 2010.

Full-Text

comments powered by Disqus

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133

WeChat 1538708413