آشکارسازی خرابی در سازه‌های صفحه‌ای با استفاده از تحلیل انرژی موجک

نوع مقاله: کاربردی

نویسندگان

دانشگاه تربیت دبیر شهید رجایی

چکیده

به طور کلی پایش سلامت سازه ها برای تامین امنیت و یکپارچگی آنها بسیار مهم است. عاملی که این امنیت و یکپارچگی را تحت اثر خود قرار می‌دهد، شروع فرآیند ایجاد خرابی در سازه‌ها است. لذا یافتن راهی برای آشکارسازی این خرابی‌ها امر مهمی تلقی می‌گردد. در این مقاله، آشکارسازی خرابی برای سازه‌های صفحه ای شکل مانند عرشه پل‌ها و دیوار‌ها مورد بررسی قرار گرفته است. 9 شتاب‌سنج برای مطالعه سیگنال های شتاب در نقاط مختلف سازه به کار گرفته شد. نهایتا با استفاده از انجام تحلیل انرژی موجک پیوسته، دو شاخص خرابی معرفی گردید. مهمترین مزیت روش به کار گرفته شده این است که با تعداد محدودی شتاب‌سنج می‌توان محدوده محل خرابی را تشخیص داد، در حالیکه نیازی به محاسبه اشکال مودی، اطلاع از مشخصات سازه و استفاده از تغییر‌مکان‌سنج‌های گران قیمت نیست.

کلیدواژه‌ها


عنوان مقاله [English]

Damage Localization in Plate-Like Structures Using Wavelet Energy Analysis

نویسندگان [English]

  • Amir Ahmadnejad Zarnaghi
  • Amir Tarighat
چکیده [English]

As a matter of fact, health monitoring of structures to ensure their safety and Integrity is very important. A factor that can endanger the safety and integrity is the process of occurrence of damage. Therefore, finding a way to identify damages is an essential issue. In this paper, damage localization of plate-like structures such as bridges and walls have been investigated. 9 virtual accelerometers have been placed in different locations of the structure to extract acceleration signals. Ultimately, two damage indices were introduced using continuous wavelet energy analysis. The most important advantage of the proposed method is that one can easily detect the approximate location of damage with a few number of accelerometers although there is no need to calculate mode shapes, obtain structural features of the structure and use expensive linear variable differential transformers (LVDTs).

کلیدواژه‌ها [English]

  • Structural Health Monitoring
  • Damage Localization
  • Plate-Like Structures
  • Accelerometer
  • Wavelet Energy Analysis
[1] Stepinski, T., Uhl, T., Staszewski, W. (2013). “Advanced Structural Damage Detection: From Theory to Engineering Applications”. John Wiley & Sons, Ltd.
[2] Rytter, A. (1993). “Vibration Based Inspection of Civil Engineering Structures”. PhD thesis Aalborg University, Denmark.
[3] Wenzel, H. (2009). “Health Monitoring of Bridges”. John Wiley & Sons, Ltd.
[4] Doebling, S.W., Farrar, C.R., Prime, M.B. (1998). “A Summary Review of Vibration-Based Damage Identification Methods”. Shock and Vibration Digest, Vol. 30, pp. 91-105.
[5] Farrar, C.R., Sohn, H., Hemez, F.M., Anderson, M.C., Bement, M.T., Cornwell, P.J., Doebling, S.D., Lieven, N., Robertson, A.N., Schultze, J.F. (2003). “Damage Prognosis: Current Status and Future Needs”. Los Alamos National Laboratory Report, LA-14051-MS.
[6] Doebling, S.W., Farrar, C.R., Prime, M.B., Shevitz, D.W. (1996). “Damage Identification Health Monitoring of Structural and Mechanical Systems from Changes in Their Vibration Characteristics: A Literature Review”. Los Alamos National Laboratory Report, LA-13070-MS.
[7]Wang, Liang, Chan, Tommy, H.T. (2009). “Review of Vibration Based Damage Detection and Condition Assessment of Bridge Structures Using Structural Health Monitoring”. The second infrastructure theme postgraduate conference: rethinking sustainable development: planning, engineering, design and managing urban infrastructure, Queensland University.
[8] Sinou, J.J. (2009). “A Review of Damage Detection and Health Monitoring of Mechanical Systems from Changes in the Measurement of Linear and Non-linear Vibrations”. Robert C. Sapri (Ed.), Mechanical Vibrations: Measurement, Effects and Control, 643-702.
[9] Hellier, C.J. (2003). “Handbook of Nondestructive Evaluation”. The McGraw-Hill Companies, Inc., New York.
[10] Sohn, H., Farrar, C.R., Hemez, F., Shunk, D., Stinemates, D., Nadler, B. (2004). “A Review of Structural Health Monitoring Literature: 1996-2001”. Los Alamos National Laboratory Report, LA-13967-MS, USA.
[11] Bandara, R.P., Chan, T.H.T., Thambiratnam, D.P. (2014). “Frequency Response Function Based Damage Identification Using Principal Component Analysis and Pattern Recognition Technique”. Engineering Structures, Vol. 66, pp. 116-128.
[12] De Lautour, O.R., Omenzetter, P. (2010). “Damage Classification and Estimation in Experimental Structures Using Time Series Analysis and Pattern Recognition”. Mechanical Systems and Signal Processing, Vol. 24, pp. 1556-1569.
[13] Mehrjoo, M., Khaji, N., Ghafouri-Ashtiany, M. (2013). “Application of Genetic Algorithm in Crack Detection of Beam-Like Structures Using a New Cracked Euler-Bernoulli Beam Element”. Applied Soft Computing, Vol. 13, pp. 867-880.
[14] Rao, M.A., Srinivas, J., Murthy, B.S.N. (2004). “Damage Detection in Vibrating Bodies Using Genetic Algorithms”. Computers and Structures, Vol. 82, pp. 963-968.
[15] Koh, C.G., Perry, M.J. (2010). “Structural Identification and Damage Detection using Genetic Algorithms”. Structures and Infrastructures Book Series, Vol.6-CRC Press Book.
[16] Mehrjoo, M., Khaji, N., Moharrami, H., Bahreininejad, A. (2008). “Damage Detection of Truss Bridge Joints Using Artificial Neural Networks”. Expert Systems with Applications, Vol. 35, pp. 1122-1131.
[17] Lam, H.F., Ng, C.T. (2008). “The selection of pattern features for structural damage detection using an extended Bayesian ANN algorithm”. Engineering Structures, Vol. 30, pp. 2762-2770.
[18] Reda Taha, M.M., Lucero, J. (2005). “Damage identification for structural health monitoring using fuzzy pattern recognition”. Engineering Structures, Vol. 27, pp. 1774-1783.
[19] Chandrashekhar, M., Ganguli, R. (2009). “Uncertainty handling in structural damage detection using fuzzy logic and probabilistic simulation”. Mechanical Systems and Signal Processing, Vol. 23, pp.384-404.
 [20] Liu, Y.Y., Ju, Y.F., Duan, C.D., Zhao, X.F. (2011). “Structure Damage Diagnosis Using Neural Network and Feature Fusion”. Engineering Application of Artificial Intelligence, Vol. 24, pp. 87-92.
[21] Tarighat, A. (2013). “Model Based Damage Detection of Concrete Bridge Deck using Adaptive Neuro-Fuzzy Inference System”. International Journal of Civil Engineering, Vol. 11, pp. 170-181.
[22] Zhu, F., Deng, Z., Zhang, J. (2013). “An Integrated Approach for Structural Damage Identification Using Wavelet Neuro-Fuzzy Model”. Expert Systems with Applications, Vol. 40, pp. 7415-7427.
[23] Newland, D. (1993). “An Introduction to Random Vibrations, Spectral and Wavelet Analysis”. 3rd Ed, Longman, New York.
[24] Liew, K.M., Wang, Q. (1998). “Application of Wavelet Theory for Crack Identification in Structures”. Journal of Engineering Mechanics, Vol. 124, pp. 152-157.
[25] Douka, E., Loutridis, S., Trochidis, A. (2003). “Crack Identification in Beams Using Wavelet Analysis”. International Journal of Solids and Structures, Vol. 40, pp. 3557-3569.
[26] Messina, A. (2008). “Refinements of Damage Detection Methods Based on Wavelet Analysis of Dynamical Shapes”. International Journal of Solids and Structures, Vol. 45, pp. 4068-4097.
[27] Nguyen, K.V., Tran, H.T. (2010). “Multi-Cracks Detection of a Beam-Like Structure Based on the On-Vehicle Vibration Signal and Wavelet Analysis”. Journal of Sound and Vibration, Vol. 329, pp. 4455-4465.
[28] Fan, W., Qiao, P. (2009). “A 2-D Continuous Wavelet Transform of Mode Shape Data for Damage Detection of Plate Structures”. International Journal of Solids and Structures, Vol. 46, pp. 4379-4395.
[29] Chang, C.C., Chen, L.W. (2004). “Damage Detection of a Rectangular Plate by Spatial Wavelet Based Approach”. Applied Acoustic, Vol. 65, pp. 819-832.
[30] Rucka, M., Wilde, K. (2006). “Application of Continuous Wavelet Transform in Vibration Based Damage Detection Method for Beams and Plates”. Journal of Sound and Vibration, Vol. 297, pp. 536-550.
[31] Hester, D., Gonzalez, A. (2012). “A Wavelet-Based Damage Detection Algorithm Based on Bridge Acceleration Response to a Vehicle”. Mechanical Systems and Signal Processing, Vol. 28, pp. 145-166.
[32] Daubechies, I. (1992). “Ten Lectures on Wavelets”. CBMS-NSF Regional Conference Series in Applied Mathematics, Vol. 61, SIAM, Philadelphia, Pennsylvania,
[33] Misiti, M., Misiti, Y., Oppenheim, G., and Poggi, J.M. (2002). “Wavelet Toolbox for Use with MATLAB”. User’s Guide Version 2.
[34] Mallat, S. (1999). “A Wavelet Tour of Signal Processing”. Academic Press, San Diego.
[35] SAP2000 17.1.0. (2014). 1976-2014 Computers and Structures, Inc.
[36] MATLAB 8.3. (2014). the MathWork, Inc. R2014a.