基于布拉格光纤光栅传感技术的复合材料杆塔老化寿命预测

doi:10.19595/j.cnki.1000-6753.tces.161084

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Abstract 5 000 h multi-factor aging test data show that the cyclic loading of aging factor gave rise to certain rules of daily strain curve at each fiber monitoring sites, showing an overall shape of the two peaks and two valleys. The characteristic quantities KP1 (first local peak) gradually decreased with the aging process. In this paper, with the aid of Matlab software, the tendency of strain was predicted by using BP neural network and gray model, and priority was given to the TD21538 channel for its larger load. The results show that: take 60% KP1 as failure condition, the equivalent accelerated aging life of composite material tower is 9 500 h. As the consideration of extremely serious test condition, calculated life is far less than the actual service life, since the service life of composite material is much longer than the test time of 5 000 h, it shows high ageing-resistant performance of poly urethane composite material.

Key words： Multifactor aging fiber bragg grating back propagation neural network gray model poly urethane composite material

Received: 13 July 2016 Published: 16 January 2018

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TM215

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	Li Shanshan
	Wang Linong
	Fang Yaqi
	Guo Zhenping
	Song Bin

Cite this article:

Li Shanshan,Wang Linong,Fang Yaqi等. Aging Prediction of Composite Tower Based on FBG Sensing Technology[J]. Transactions of China Electrotechnical Society, 2018, 33(1): 217-224.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.161084 OR https://dgjsxb.ces-transaction.com/EN/Y2018/V33/I1/217

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