A Wireless Intelligent Fatigue Monitoring System Based on PVDF

BAI Shi; ZHOU Zhi; SHEN Yu; OU Jinping

doi:10.7527/S1000-6893.2014.0106

ACTA AERONAUTICAET ASTRONAUTICA SINICA >

2014 , Vol. 35 >Issue 8: 2190 - 2198

DOI: https://doi.org/10.7527/S1000-6893.2014.0106

Solid Mechanics and Vehicle Conceptual Design

A Wireless Intelligent Fatigue Monitoring System Based on PVDF

BAI Shi ,
ZHOU Zhi ,
SHEN Yu ,
OU Jinping

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1. School of Civil Engineering, Harbin Institute of Technology, Harbin 150090, China;
2. School of Civil Engineering, Dalian University of Technology, Dalian 116024, China

Received date: 2013-12-24

Revised date: 2014-05-21

Online published: 2014-05-26

Supported by

National Basic Research Program of China (2011CB013705); National Scientific Support Project of China (2011BAK02B01); New Century Program for Excellent Talents of Ministry of Education of China (NCET-10-0290).

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Abstract

Due to the multi-factor influence, big errors in theoretical analysis and difficulties in chronically capturing fatigue datum in real time, it is difficult to give a timely and reliable warning for fatigue failure. This has been a critical problem in engineering practice such as in mechanical engineering, civil infrastructures, aerospace engineering and energy related structures. Considering the problems of analysis on fatigue damage cumulation based on conventional method of strain history, this paper proposes a wireless intelligent system based on polyvinylidene fluoride (PVDF) sensor for fatigue damage monitoring of in-service structures with online structural health monitoring. Firstly, PVDF's sensitivity is calibrated according to its sensing characteristics. Secondly, from the experimental results of 6061-T6 aluminum alloy members, the performance of the system is verified. Finally, by comparison of the experimental results and the S-N curve of 6061-T6 aluminum alloy, the method of study on fatigue of materials in the paper is feasible. The results show that the system has good working stability, high accuracy and nice instantaneity, and it can be further applied to practice.

Key words： PVDF; fatigue; wireless sensor; aluminum alloy; fatigue testing

Cite this article

BAI Shi , ZHOU Zhi , SHEN Yu , OU Jinping . A Wireless Intelligent Fatigue Monitoring System Based on PVDF[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2014 , 35(8) : 2190 -2198 . DOI: 10.7527/S1000-6893.2014.0106

References

[1] Chen C Y. Fatigue and fracture[M]. 1st ed. Wuhan: Huazhong University of Science & Technology Press, 2002: 1-5. (in Chinese) 陈传尧. 疲劳与断裂[M]. 1版. 武汉: 华中科技大学出版社, 2002: 1-5.
[2] Zhou Z, Duan Z D, Jia Z H, et al. New kind of struc-tural fatigue life prediction smart sensor//Proceedings of SPIE, 2004, 5384: 324-331.
[3] Hu M M, Chen J, Tao B Q. The performance test research of the fatigue life gauge[J]. Acta Aeronautica et Astronautica Sinica, 1994, 15(3): 336-339. (in Chinese) 胡明敏, 陈杰, 陶宝祺. 疲劳寿命计性能研究[J]. 航空学报, 1994, 15(3): 336-339.
[4] Guo T, Li A Q. Fatigue life assessment of welds in bridge decks using long term monitored data[J]. China Civil Engineering Journal, 2009, 42(6): 66-72. (in Chinese) 郭彤, 李爱群. 基于长期监测数据的桥面板焊接细节疲劳寿命评估[J]. 土木工程学报, 2009, 42(6): 66-72.
[5] Antonaci P, Bocca P, Masera D. Fatigue crack propagation monitoring by acoustic emission signal analysis[J]. Engineering Fracture Mechanics, 2012, 81: 26-32.
[6] Maslouhi A.Fatigue crack growth monitoring in aluminum using acoustic emission and acousto-ultrasonic methods[J].Structural Control and Health Monitoring, 2011, 18(7): 790-806.
[7] Xu N, Zhou Z G, Liu W P, et al. Ultrasonic phased array inspection method for the corner of L-shaped components[J]. Acta Aeronautica et Astronautica Sinica, 2013, 34(2): 419-425. (in Chinese) 徐娜, 周正干, 刘卫平, 等. L型构件R区的超声相控阵检测方法[J]. 航空学报, 2013, 34(2): 419-425.
[8] Wagle S, Kato H. Real-time measurement of ultrasonic waves at bolted joints under fatigue testing[J]. Experimental Mechanics, 2011, 51(9): 1559-1564.
[9] Zilberstein V, Walrath K, Grundy D. MWM eddy-current arrays for crack initiation and growth monitoring[J]. International Journal of Fatigue, 2003, 25(9-11): 1147-1155.
[10] Yusa N, Janousek L, Rebican M. Detection of embedded fatigue cracks in inconel weld overlay and the evaluation of the minimum thickness of the weld overlay using eddy current testing[J]. Nuclear Engineering and Design, 2006, 236(18): 1852-1859.
[11] Chen R L, Wang B T. The use of polyvinylidene fluoride films as sensors for the experimental modal analysis of sturctures[J]. Smart Materials and Sturctures, 2004, 13(4): 791-799.
[12] Klesnil M, Lukas P. Fatigue of metallic materials[M]. 2nd ed. Amsterdam: Material Science Mono-graphs, 1992: 244-247.
[13] Yu Y, Ou J P, Zhang J, et al. Development of wireless MEMS inclination sensor system for swing monitoring of large scale hook structures[J]. IEEE Transactions on Industrial Electronics, 2009, 56(4): 1072-1078.
[14] Lei X Y, Cao G Z. Design of TMS320F28335 and its minimum application system[J]. Electronic Design Engineering, 2009(1): 91-92. (in Chinese) 雷晓瑜, 曹广忠. TMS320F28335及其最小应用系统设计[J]. 电子设计工程, 2009(1): 91-92.
[15] Shi Y J, He X P, Wang Y Q, et al. Test studies on fatigue performance of aluminum alloys used in construction[J]. Journal Tsinghua University: Science and Technology, 2009, 49(9): 5-8. (in Chinese) 石永久, 贺小平, 王元清, 等. 建筑用铝合金的疲劳性能试验研究[J]. 清华大学学报:自然科学版, 2009, 49(9): 5-8.
[16] Gao Y F, Dong L, Wang F S. GB/T 4337-2008 Metallic materials-fatigue testing-rotating bar bending method[S]. Beijing: China Standard Press, 2008: 4-18. (in Chinese) 高怡斐, 董莉, 王福生. GB/T 4337-2008 金属材料疲劳试验旋转弯曲方法[S]. 北京: 中国标准出版社, 2008: 4-18.

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