平稳随机载荷的灵敏度分析识别方法

Identification of stationary random dynamic load based on sensitivity analysis

提出了一种基于灵敏度分析的平稳随机动载荷分段时域识别分析技术。将平稳随机动载荷样本分为若干小段,把每一小段内的平稳随机动载荷表示为正弦级数叠加的形式,通过灵敏度迭代分析来确定相应正弦级数的幅值,从而确定该时间段内结构所受的平稳随机动载荷。最后将各个时间段组合,即得到平稳随机动载荷样本的识别结果。试验结果表明,灵敏度分析识别方法能够很好地识别出作用在结构上的随机动载荷,并具有良好的抗噪性。

Here, a segmented time domain identification method based on sensitivity analysis for stationary random dynamic load was proposed. A stationary random dynamic load sample was divided into several segments, and the stationary random dynamic load in each segment was expressed as superposition of sinusoidal series. Sensitivity iterative analysis was used to determine the corresponding sinusoidal series’ amplitudes, and then the stationary random dynamic load within this time segment was determined. Finally, all identified stationary random dynamic load segments were combined to obtain the stationary random dynamic load sample identification results. The experimental results showed that the identification method based on sensitivity analysis can identify random dynamic loads on structure well;it has good anti-noise performance.