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  

Aging Prediction of Composite Tower Based on FBG Sensing Technology

作　　者：李姗姗[1] 王力农[1] 方雅琪 郭真萍 宋斌[1] 

机构地区：[1]武汉大学电气工程学院,武汉430072 [2]国网湖北省电力公司荆州供电公司,荆州434007

出　　处：《电工技术学报》2018年第1期217-224,共8页Transactions of China Electrotechnical Society

摘　　要：5000 h多因子老化实验数据表明,老化因子的循环施加导致各光纤监测点的日应变波形具有一定规律,总体呈现两峰两谷的形状,特征量第一个局部峰值KP1随着老化过程逐渐减小。该文借助Matlab软件预测应变的变化趋势,采用BP神经网络和灰色模型对应变数据进行建模分析,并优先考虑载荷较大的TD21538通道。结果表明,以KP1降为初始值的60%作为失效条件,复合材料杆塔材料的等效加速老化寿命为9 500 h。因实验考虑的是极端恶化的条件,计算寿命远小于实际使用寿命,该材料的使用寿命远大于试验时间5 000 h,说明聚氨酯复合材料具备优异的耐老化性能。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.

关 键 词：多因子老化 光纤 布拉格光栅 BP神经网络 灰色模型 聚氨酯复合材料 

分 类 号：TM215[一般工业技术—材料科学与工程]