شناسایی غیرمستقیم خصوصیات دینامیکی پل با استفاده از پاسخ وسیله نقلیه عبوری

نوع مقاله : علمی ترویجی

نویسندگان

1 دانشجوی دکتری مهندسی مکانیک، دانشگاه صنعتی نوشیروانی بابل

2 دانشیار دانشکده مهندسی مکانیک، دانشگاه صنعتی نوشیروانی بابل

3 استادیار دانشکده مهندسی مکانیک، دانشگاه سمنان

چکیده

در این مقاله، روش‌های شناسایی غیرمستقیم خصوصیات دینامیکی پل به طور اجمالی بررسی خواهد شد. در روش‌های شناسایی غیرمستقیم، بر خلاف روش‌های مستقیم، حسگر بر روی وسیله نقلیه متحرک قرار گرفته و بدون استفاده از حسگر های روی پل و یا بدون نیاز به متوقف نمودن وسیله نقلیه، شناسایی خصوصیات پل میسر می‌گردد. در ابتدا روش‌های مختلفی که تاکنون برای شناسایی غیرمستقیم فرکانس طبیعی پل ارائه شده است، بیان خواهند شد. در ادامه، روش‌های شناسایی غیرمستقیم میرایی پل بررسی شده‌اند. سپس ضمن طرح روش‌های شناسایی غیرمستقیم شکل مود، مزایا و معایب آن‌ها مورد بحث و بررسی قرار گرفته است. پس از آن، به منظور بررسی عددی شناسایی غیرمستقیم فرکانس‌های طبیعی پل، از مدل عددی یک سازه پل مانند که یک وسیله نقلیه از آن عبور می کند، استفاده شده است. نتایج حاصل، نشان‌دهنده دقت و کارایی روش مذکور است. در پایان، به بحث و بررسی و بیان معایب و مزایای روش‌های مختلف و نیز نتایج حاصل از شبیه‌سازی صورت گرفته پرداخته می‌شود.

کلیدواژه‌ها


[1] Fujino, Yozo and Siringoringo, DM. Bridge monitoring in japan: the needs and strategies. Structure and Infrastructure Engineering, 7(7-8):597–611, 2011.
[2] Chupanit, Punya and Phromsorn, Chayatan. The importance of bridge health monitoring. International Science Index, 6:135–138, 2012.
[3] Das, Swagato, Saha, P, and Patro, SK. Vibration-based damage detection techniques used for health monitoring of structures: a review. Journal of Civil Structural Health Monitoring, 6(3):477–507, 2016.
[4] Carden, E Peter and Fanning, Paul. Vibration based condition monitoring: a review. Structural health monitoring, 3(4):355–377, 2004.
[5] Gomez, Hugo C, Fanning, Paul J, Feng, Maria Q, and Lee, Sungchil. Testing and long-term monitoring of a curved concrete box girder bridge. Engineering Structures, 33(10):2861–2869, 2011.
[6] Yang, Y-B, Lin, CW, and Yau, JD. Extracting bridge frequencies from the dynamic response of a passing vehicle. Journal of Sound and Vibration, 272(3-5):471–493, 2004.
[7] Yang, YB and Lin, CW. Vehicle–bridge interaction dynamics and potential applications. Journal of sound and vibration, 284(1-2):205–226, 2005.
[8] Lin, CW and Yang, YB. Use of a passing vehicle to scan the fundamental bridge frequencies: An experimental verification. Engineering Structures, 27(13):1865–1878, 2005.
[9] Malekjafarian, Abdollah, McGetrick, Patrick J, and OBrien, Eugene J. A review of indirect bridge monitoring using passing vehicles. Shock and vibration, 2015, 2015.
[10] Khorram, A, Bakhtiari-Nejad, F, and Rezaeian, M. Comparison studies between two wavelet based crack detection methods of a beam subjected to a moving load. International Journal of Engineering Science, 51:204–215, 2012.
[11] Kong, X, Cai, CS, and Kong, B. Damage detection based on transmissibility of a vehicle and bridge coupled system. Journal of Engineering Mechanics, 141(1):04014102, 2014.
[12] Oshima, Y, Yamaguchi, T, Kobayashi, Y, and Sugiura, K. Eigenfrequency estimation for bridges using the response of a passing vehicle with excitation system. in Proceedings of the fourth international conference on bridge maintenance, safety and management, pp. 3030–3037, 2008.
[13] Oshima, Y, Yamamoto, K, Sugiura, K, and Yamaguchi, T. Estimation of bridge eigenfrequencies based on vehicle responses using ica. in Proceedings of the 10th International Conference on Structural Safety and Reliability (ICOSSAR09), 2009.
[14] Yang, YB and Chang, KC. Extracting the bridge frequencies indirectly from a passing vehicle: Parametric study. Engineering Structures, 31(10):2448–2459, 2009.
[15] Yang, YB and Chang, KC. Extraction of bridge frequencies from the dynamic response of a passing vehicle enhanced by the emd technique. Journal of sound and vibration, 322(4-5):718–739, 2009.
[16] Cerda, Fernando, Garrett, James, Bielak, Jacobo, Rizzo, Piervincenzo, Barrera, JA, Zhang, Z, Chen, Siheng, McCann, Michael T, and Kovacevic, Jelena. Indirect structural health monitoring in bridges: scale experiments. in Proc. Int. Conf. Bridge Maint., Safety Manag., Lago di Como, pp. 346–353, 2012.
[17] Siringoringo, Dionysius M and Fujino, Yozo. Estimating bridge fundamental frequency from vibration response of instrumented passing vehicle: analytical and experimental study. Advances in Structural Engineering, 15(3):417–433, 2012.
[18] Yang, YB, Chang, KC, and Li, YC. Filtering techniques for extracting bridge frequencies from a test vehicle moving over the bridge. Engineering Structures, 48:353–362, 2013.
[19] Li, Wei-ming, Jiang, Zhi-hui, Wang, Tai-long, and Zhu, Hong-ping. Optimization method based on generalized pattern search algorithm to identify bridge parameters indirectly by a passing vehicle. Journal of Sound and Vibration, 333(2):364–380, 2014.
[20] Malekjafarian, Abdollah and OBrien, Eugene J. Application of output-only modal method to the monitoring of bridges using an instrumented vehicle. Civil engineering research in Ireland, 2014.
[21] Yang, YB, Cheng, MC, and Chang, KC. Frequency variation in vehicle–bridge interaction systems. International Journal of Structural Stability and Dynamics, 13(02):1350019, 2013.
[22] Curadelli, RO, Riera, JD, Ambrosini, D, and Amani, MG. Damage detection by means of structural damping identification. Engineering Structures, 30(12):3497–3504, 2008.
[23] Modena, Claudio, Sonda, Devis, and Zonta, Daniele. Damage localization in reinforced concrete structures by using damping measurements. in Key engineering materials, vol. 167, pp. 132–141. Trans Tech Publ, 1999.
[24] McGetrick, Patrick J, Gonzlez, A, and OBrien, Eugene J. Theoretical investigation of the use of a moving vehicle to identify bridge dynamic parameters. Insight-NonDestructive Testing and Condition Monitoring, 51(8):433– 438, 2009.
[25] McGetrick, P, Kim, Chul-Woo, and OBrien, Eugene J. Experimental investigation of the detection of bridge dynamic parameters using a moving vehicle. in Proceedings of the 23rd KKCNN Symposium on Civil Engineering, 2010.
[26] Kim, Chul-Woo, Isemoto, R, McGetrick, P, Kawatani, Mitsuo, and O’Brien, Eugene J. Drive-by bridge inspection from three different approaches. Smart Structures and Systems, 13(5):775–796, 2014.
[27] González, Arturo, OBrien, Eugene J, and McGetrick, PJ. Identification of damping in a bridge using a moving instrumented vehicle. Journal of Sound and Vibration, 331(18):4115–4131, 2012.
[28] Williams, C and Salawu, OS. Damping as a damage indication parameter. in Proceedings of the 15th international modal analysis conference, vol. 3089, p. 1531, 1997.
[29] Pandey, AK, Biswas, M, and Samman, MM. Damage detection from changes in curvature mode shapes. Journal of sound and vibration, 145(2):321–332, 1991.
[30] Zhu, XQ and Law, SS. Wavelet-based crack identification of bridge beam from operational deflection time history. International Journal of Solids and Structures, 43(7- 8):2299–2317, 2006.
[31] Arora, Vikas, Singh, SP, and Kundra, TK. Damped model updating using complex updating parameters. Journal of Sound and Vibration, 320(1-2):438–451, 2009.
[32] Zhang, Yao, Wang, Longqi, and Xiang, Zhihai. Damage detection by mode shape squares extracted from a passing vehicle. Journal of Sound and Vibration, 331(2):291–307, 2012.
[33] Yang, YB, Li, YC, and Chang, KC. Constructing the mode shapes of a bridge from a passing vehicle: a theoretical study. Smart Structures and Systems, 13(5):797–819, 2014.
[34] Oshima, Yoshinobu, Yamamoto, Kyosuke, and Sugiura, Kunitomo. Damage assessment of a bridge based on mode shapes estimated by responses of passing vehicles. Smart Structures and Systems, 13(5):731–753, 2014.
[35] Malekjafarian, Abdollah and OBrien, Eugene J. Identification of bridge mode shapes using short time frequency domain decomposition of the responses measured in a passing vehicle. Engineering Structures, 81:386–397, 2014.
[36] Malekjafarian, Abdollah and OBrien, Eugene J. On the use of a passing vehicle for the estimation of bridge mode shapes. Journal of Sound and Vibration, 397:77–91, 2017.