摘要
载荷对导波传播有显著影响,给基于导波的结构健康监测技术带来了不确定性。为提高基于导波的损伤诊断方法的可靠性,提出了一种基于自适应线性神经元(Adaptive Linear Neuron,ADALINE)网络的载荷补偿方法。通过建立载荷补偿标准,对最优补偿网络参数及载荷梯度范围进行设计,有效减少基准信号存储,实现大范围载荷补偿。通过开展碳纤维复合材料结构载荷影响下的损伤监测试验,验证了该方法的有效性,载荷补偿范围达0~100MPa,补偿间隔20MPa,补偿精度达到-25dB,提高了载荷影响下的损伤诊断可靠性。
Load condition has a significant effect on guided wave propagation,which brings uncertainty to the structural health monitoring technology based on guided wave.In order to improve the reliability of guided wave based damage diagnosis method,a load compensation method based on Adaptive Linear Neuron(ADALINE)network is proposed.By establishing the load compensation standard and designing the optimal compensation network parameters and load gradient range,this method can effectively reduce the storage of reference signal and realize large-scale load compensation.Then the effectiveness of the method is verified during the damage monitoring experiment of carbon fiber composite structure under the influence of load.The compensation range of the load compensation method is 0~100MPa,the compensation interval is 20MPa,and the compensation accuracy is-25dB,which improve the reliability of damage diagnosis under the influence of load.
作者
王熠
邱雷
袁慎芳
Wang Yi;Qiu Lei;Yuan Shenfang(State Key Laboratory of Mechanics and Control of Mechanical Structures,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China)
出处
《航空科学技术》
2020年第1期17-24,共8页
Aeronautical Science & Technology
基金
国家自然科学基金(51635008,51921003,51975292)
教育部霍英东青年教师基金(161048)
江苏高校优势学科建设工程~~