Yapıların Zaman-Frekans Ortamında Dalgacık Dönüşümü Metoduyla Hasar Analizleri

Year 2019, Volume: 30 Issue: 1, 8835 - 8860, 01.01.2019

Ömer Sak Kemal Beyen

https://doi.org/10.18400/tekderg.300366

Abstract

Bu çalışmada
zaman-frekans ortamında uygulanan hasar tanılama tekniklerinde gözlenen son
araştırmalara bakılarak yeni hasar tanılama algoritmaları incelenmiştir.
Özellikle yapı sağlığı çalışmalarında ivme, hız ve deplasman gibi kinematik parametreleri
ve bunların türevleri üzerinden örneğin hız bilgisinin enerji tabanlı kinetik
bir parametre ile ifade edilerek etkin hasar tespitleri yapılabildiği bilinmektedir.
Analitik modellerden elde edilen sitasyoner ve ergodic yapıda olmayan kinematik
ölçümlere dalgacık dönüşümleri uygulanarak hasar alan ve doğrusal olmayan
özellik gösteren yapısal elemanlar tespit edilmiştir. Sürekli dalgacık dönüşümü
ve dalgacık paket dönüşümü uygulanan örneklerde bu metotların hasar tespitinde
etkili bir yöntem olarak kullanılabileceği sonucuna ulaşılmıştır.

Keywords

Yapı Sağlığı, Dalgacık Dönüşümleri, Hasar Tanılama

References

• Deng, X. and Wang, Q., Crack Detection Using Spatial Measurements and Wavelet. Int. J. Fracture, 9, 123-128, 1998.
• Worden, K. and Dulieu-Barton, J.M., An Overview of Intelligent Fault Detection in Systems and Structures. Structural Health Monitoring, 3(1), 85–98, 2004.
• Patsias, S. and Staszewski, W.J., Damage Detection Using Optical Measurements and Wavelets. Structural Health Monitoring, 1(1), 5–22, 2002.
• Yan, Y.J. and Yam, L.H., Detection of Delamination in Composite Plates Using Energy Spectrum of Structural Dynamic Responses Decomposed by Wavelet Analysis. Computers and Structures, 82, 347–358, 2004.
• Mallat, S., A Wavelet Tour of Signal Processing, 2nd edn, Academic Press, London, UK, 1999.
• Liew, K.M. and Wang, Q., Application of Wavelet Theory For Crack Identification in Structures. Journal of Engineering Mechanics, 124(2), 152–157, 1998.
• Park, G., Muntges, D.E. and Inman, D.J., Self-Monitoring and Self-Healing Jointed Structures. In: Damage Assessment Of Structures. Proceedings of the 4th International Conference on Damage Assessment of Structures, Cardiff, Wales, UK, June, Key Engineering Materials, Vols. 204–205, pp. 204–205, 2001.
• Douka, E., Loutridis, S. and Trochidis, A., Crack Identification in Beams Using Wavelet Analysis. International Journal of Solids and Structures, 40(13–14), 3557–3569, 2003.
• Gentile, A. and Messina, A., On The Continuous Wavelet Transforms Applied to Discrete Vibrational Data for Detecting Open Cracks in Damaged Beams. Int. Journal of Solids and Structures, 40(2), 295–315, 2003.
• Xu B., Wu Z., Yokoyama K., Harada T. and Chen G., A Soft Post-Earthquake Damage Identification Methodology Using Vibration Time Series. Smart Materials and Structures, 2005.
• Chang, C.C. and Chen, L.W., Damage Detection of a Rectangular Plate by Spatial Wavelet Based Approach. Applied Acoustics, 65, 819–832, 2004.
• Chang, C.C. and Chen, L.W., Detection of the Location and Size of Cracks in The Multiple Cracked Beam by Spatial Wavelet Based Approach. Mechanical Systems and Signal Processing, 19, 139–155, 2005.
• Kim, B.H., Park, T. and Voyiadjis, G.Z., Damage Estimation on Beam-Like Structures Using the Multi-Resolution Analysis. International Journal of Solids and Structures, 43, 4238–4257, 2006.
• Poudel, U.P., Fu, G.K. and Ye, H., Wavelet Transformation of Mode Shape Difference Function for Structural Damage Location Identification. Earthquake Engineering & Structural Dynamics, 36, 1089–1107, 2007.
• Ekici, S., Selcuk Y., & Poyraz. M., Energy and Entropybased Feature Extraction for Locating Fault on Transmission Lines by Using Neural Network and Wavelet Packet Decomposition. Expert Systems with Applications 34.4, 2937-2944, 2008.
• Zhong, S. and Oyadiji, S.O., Detection of Cracks in Simply-Supported Beams by Continuous Wavelet Transform of Reconstructed Modal Data. Comput. Struct., 89(1-2), 127-148, 2011.
• Beyen K., Dalgacık Spektrumlarının Yapı Sağlığı Durum Değerlendirme Çalışmalarında Önemi, 3. Türkiye Deprem Mühendisliği ve Sismoloji Konferansı, İzmir, Türkiye, 14-16 Ekim 2015.
• Beata Zima, Magdalena Rucka, Applicatıon of Wavelet Transform in Analysis of Guided Wave Propagation Signals For Damage Detection in A Steel Plate. Diagnostyka, Vol. 16, No. 2, 2015.
• H. Wang, and M. Noori and J. Zhang, A Wavelet-Energy Based Damage Identification Method for Steel Bridges. Conference Paper, June 2016.
• Mosbeh R. Kaloop and Jong Wan Hu, Damage Identification and Performance Assessment of Regular and Irregular Buildings Using Wavelet Transform Energy. Hindawi Publishing Corporation Advances in Materials Science and Engineering Volume 2016, Article ID 6027812, 11 pages, 2016.
• Farrar, C.R., James, G.H., System Identification from Ambient Vibration Measurements on a Bridge. Journal of Sound and Vibration 205 (1), 1–18, 1997.
• Deprem Bölgelerinde Yapılacak Binalar Hakkında Yönetmelik, Bayındırlık ve İskan Bakanlığı, Ankara, 6 Mayıs 2007.