مهندسی سازه و ساخت

مهندسی سازه و ساخت

شناسایی محل آسیب در سازه های فضاکار دولایه با تعداد اعضای زیاد با استفاده از پاسخ دینامیکی سازه و تئوری احتمالاتی بیزین

نوع مقاله : علمی - پژوهشی

نویسندگان
1 فارغ التحصیل کارشناسی ارشد، دانشکده فنی مهندسی، دانشگاه محقق اردبیلی، اردبیل،ایران
2 دانشیار، دانشکده فنی مهندسی، دانشگاه محقق اردبیلی، اردبیل، ایران
چکیده
در دو دهه‌ی اخیر، تشخیص محل و شدت خرابی در سازه ها از جمله ضروری ترین زمینه های تحقیقاتی مورد توجه مهندسان عمران می باشد که به افزایش عمر سازه و کنترل خرابی کمک می کند. عموما خرابی ها در اثر عواملی مانند نیروی زلزله، خستگی، اعمال بارگذاری های بیش از حد انتظار و ... در سازه ها ظاهر می شوند. در صورت عدم شناسایی و ترمیم این آسیب ها، عملکرد سیستم سازه به طور کلی تغییر می کند که می تواند تبعات جبران ناپذیری را به همراه داشته باشد. آسیب، تغییرات در خصوصیات دینامیکی سازه را به دنبال دارد لذا می توان با بررسی این تغییرات به وجود، محل و میزان این خرابی ها پی برد. به دلیل حساسیت بالای داده های دینامیکی نسبت به خرابی، این روش ها بیشتر مورد توجه محققان قرار گرفته است. از جمله روش های دینامیکی مبتنی بر مودال وابسته به فرکانس های طبیعی که یکی از اساسی ترین خصوصیات ارتعاشی یک سازه هستند، روش انرژی کرنشی مودال می باشد. در این روش از ترکیب خصوصیات دینامیکی سازه با تئوری آماری بیزین در دو حالت سالم و آسیب دیده در شناسایی محل آسیب استفاده می شود. در این مقاله از ترکیب روش انرژی کرنشی و تئوری آماری بیزین برای تعیین با دقتِ بیشتر المان های آسیب دیده و همچنین کاهش میزان خطای تشخیص نادرستِ اعضای آسیب ندیده به عنوان اعضای آسیب دیده، استفاده شده است. نتایج به دست آمده نشان دادند که روش فوق، با دقت بالایی قادر به تشخیص آسیب های تکی و چندگانه در سازه های فضاکار می باشد.
کلیدواژه‌ها

موضوعات


عنوان مقاله English

Identification of Damage Location in Double Layer Space Structures Using Structural Dynamic Response and Bayesian Theory

نویسندگان English

Neda Heshmati Shahbulaghi, 1
Elham Ghandi 2
ُShirin Esmaeili, 2
1 Master Graduate,, Faculty of Engineering, University of Mahaghegh Ardabili, Ardabil, Iran
2 Associate Professor, Faculty of Engineering, University of Mahaghegh Ardabili, Ardabil, Iran
چکیده English

In the last two decades, identifying the location and severity of damage in structures has become one of the essential areas of research for civil engineers. This aids in increasing the lifespan of structures and controlling damage. Typically, damages occur due to factors like seismic forces, fatigue, unexpected loads, and more. If these damages aren't identified and repaired, it can significantly alter the overall performance of the structural system, leading to potentially irreparable consequences. Damage induces changes in the dynamic properties of structures, making it possible to trace the location and extent of these impairments by examining these alterations. Due to the high sensitivity of dynamic data to damage, these methods have garnered substantial attention from researchers. Among the dynamic methods reliant on modal frequencies, which are fundamental vibrational characteristics of a structure, the modal strain energy method is notable. This approach combines the dynamic properties of a structure with Bayesian statistical theory in both intact and damaged conditions to identify the location of damage. This article utilizes a combination of the modal strain energy method and Bayesian theory to more accurately determine the damaged elements and reduce the likelihood of misidentifying undamaged components as damaged ones. The obtained results demonstrate that this method is highly accurate in detecting single and multiple damages in space structures.

کلیدواژه‌ها English

Damage identification
space structure
Bayesian theory
dynamic response of structure
modal strain energy
[1] Zenzen, R., Belaidi, I., Khatir, S. and Wahab, M.A. (2018). A damage identification technique for beam-like and truss structures based on FRF and Bat Algorithm. Comptes Rendus Mécanique, 346(12), 1253-1266.
[2] Altunışık, A.C., Okur, F.Y., Karaca, S. and Kahya, V. (2019). Vibration-based damage detection in beam structures with multiple cracks: modal curvature vs. modal flexibility methods. Nondestructive Testing and Evaluation, 34(1), 33-53.
[3] Alvandi, A. and Cremona, C. (2006). Assessment of vibration-based damage identification techniques. Journal of sound and vibration, 292(1-2), 179-202.
[4] Cawley, P. and Adams, R.D. (1979). The location of defects in structures from measurements of natural frequencies. The Journal of Strain Analysis for Engineering Design, 14(2), 49-57.
[5] Pandey, A., Biswas, M. and Samman, M. (1991). Damage detection from changes in curvature mode shapes. Journal of sound and vibration, 145(2), 321-332.
[6] Pandey, A. and Biswas, M. (1994). Damage detection in structures using changes in flexibility. Journal of sound and vibration, 169(1), 3-17.
[7] Yan, A. and Golinval, J. C. (2005). Structural damage localization by combining flexibility and stiffness methods. Engineering Structures, 27(12), 1752-1761.
[8] Shi, Z., Law, S. and Zhang, L. (1998). Structural damage localization from modal strain energy change. Journal of sound and vibration, 218(5), 825-844.
[9] Park, N. G. and Park, Y.S. (2005). Identification of damage on a substructure with measured frequency response functions. Journal of Mechanical Science and Technology, 19, 1891-1901.
[10] Kao, C. and Hung, S. L. (2003). Detection of structural damage via free vibration responses generated by approximating artificial neural networks. Computers & Structures, 81(28-29), 2631-2644.
[11] Yang, J.N., Lei, Y., Lin, S. and Huang, N. (2004). Hilbert-Huang based approach for structural damage detection. Journal of engineering mechanics, 130(1), 85-95.
[12] Law, S., Li, X., Zhu, X. and Chan, S.L. (2005). Structural damage detection from wavelet packet sensitivity. Engineering structures, 27(9), 1339-1348.
[13] Nair, K.K., Kiremidjian, A.S. and Law, K.H. (2006), Time series-based damage detection and localization algorithm with application to the ASCE benchmark structure. Journal of Sound and Vibration, 291(1-2), 349-368.
[14] Seyedpoor, S.M. and Montazer, M. (2016). A two-stage damage detection method for truss structures using a modal residual vector based indicator and differential evolution algorithm. Smart Structures and Systems, 17(2), 347-361.
[15] Wu, S., Zhou, J., Rui, S. and Fei, Q. (2017). Reformulation of elemental modal strain energy method based on strain modes for structural damage detection. Advances in Structural Engineering, 20(6), 896-905.
[16] Ghiasi, R., Fathnejat, H. and Torkzadeh, P. (2019). A three-stage damage detection method for large-scale space structures using forward substructuring approach and enhanced bat optimization algorithm. Engineering with Computers, 35, 857-874.
[17] Beheshti Aval, S.B., Ahmadian, V., Maldar, M. and Darvishan, E. (2020). Damage detection of structures using signal processing and artificial neural networks. Advances in Structural Engineering, 23(5), 884-897.
[18] Niu, Z. (2020). Frequency response-based structural damage detection using Gibbs sampler. Journal of Sound and Vibration, 470, 115160.
[19] Avci, O., Abdeljaber, O., Kiranyaz, S., Hussein, M., Gabbouj, M. and Inman, D.J. (2021). A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications. Mechanical systems and signal processing, 147, 107077.
[20] Teimouri, H., Davoodi, M.R., Mostafavian, S.A. and Khanmohammadi, L. (2021). Damage Detection in Double Layer Grids with Modal Strain Energy Method and Dempster-Shafer Theory. Civil Engineering Infrastructures Journal, 54(2), 253-266.
[21] Zhang, Y., Luo, Y., Guo, X. and Li, Y. (2022). A new damage detection method of single-layer latticed shells based on combined modal strain energy index. Mechanical Systems and Signal Processing, 172, 109011.
[22] Roy, K. (2017). Structural damage identification using mode shape slope and curvature. Journal of Engineering Mechanics, 143(9), 04017110.
[23] Rytter, A. Vibrational based inspection of civil engineering structures, (1993). Ph.D.-Thesis defended publicly at the University of Aalborg.
[24] Chopra, A.K. (1995). Dynamics of structures: Theory and applications to earthquake engineering, Prentice-Hall International Series in Civil Engineering and Engineering Mechanics Prentice-Hall International, Inc, Des Moines, IA. xxvi, 729 pp. ISBN: 0-13-521063-1.
 
[25] Seyedpoor, S. (2012). A two stage method for structural damage detection using a modal strain energy based index and particle swarm optimization. International Journal of Non-Linear Mechanics, 47(1), 1-8.
[26] Guo, H. and Li, Z. (2012). Structural damage identification based on Bayesian theory and improved immune genetic algorithm. Expert Systems with Applications, 39(7), 6426-6434.
[27] Davoudi, M. (2013). Application of structural modal strain energy in determining the location of structural damage in double-layer grid, In:  8th National Civil Engineering Congress. Babol Noshirvani University of Technology.

  • تاریخ دریافت 19 شهریور 1403
  • تاریخ بازنگری 17 آذر 1403
  • تاریخ پذیرش 25 آذر 1403