【摘要】 发展一种基于Kalman滤波的应变响应估计方法,采用自行研发的疲劳应变数字化无线传感器,对有限测点桁架结构进行监测,实现桁架结构未测杆件的疲劳损伤评估。通过引入虚拟系统噪声对系统输入进行处理,在未知激励条件下对有限测点之外的拓展点应变响应进行估计;用平面主桁架数值模型验证了算法的可行性;设计平面钢桁架模型,进行桁架结构高周疲劳试验。试验结果表明,基于疲劳传感器的实测应变响应,该算法有效估计了拓展点应变响应,并与拓展点实测数据吻合良好;联合有限测点和估计点的应变响应数据,对该桁架结构实施了疲劳损伤评估。更多还原

【Abstract】 Fatigue monitoring of the truss structure has been limited by the lack of amount of long-service sensors.This paper presents a more reflective strain-time histories estimation methodology based on Kalman filtering,which can be applied on the fatigue damage assessment of the unmeasured elements of the truss structure.Long-term fatigue information can be captured in real time through a digital wireless fatigue strain sensor.Non-white process noise is proccessed according to the virtual noise.The algorithm of the strain-time histories estimation has been verified by a numerical two-dimensional truss model.On this basis,the same experimental truss structure has been designed to demonstrate the methodology under a high-cycle fatigue testing.The results show a great deal of consistency between the estimated and measured strain values.Both the estimated and measured strain-time histories are used for the fatigue damage assessment at the last section.更多还原