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针对海上风电结构,研究了环境激励下海上风电结构的模态参数识别问题。采用了一种时域联合算法:自然激励法(Natural Excitation Technique,简称NExT)和多参考点复指数法(Polyreference Complex Exponential,简称PRCE)的结合(简称NExT/PRCE方法)对海上风电结构的模态参数进行识别。对某三脚架式海上风电结构进行数值模拟,考虑了风电结构的实际操作工况,对结构施加了随机波浪荷载和风机载荷。利用动力响应数据进行了环境激励下风电整体结构模态参数识别,采用了稳定图与模态置信准则进行了虚假模态的剔除,并分析了NExT中参考通道选取对于模态参数识别效果的影响。通过与有限元模型模态参数比较,验证了NExT/PRCE方法对于风电结构参数识别的有效性。
For the offshore wind power structure, the modal parameters identification of the offshore wind power structure under environmental excitation is studied. A time-domain joint algorithm is adopted: the combination of Natural Excitation Technique (NExT) and Polyreference Complex Exponential (PRCE) (NExT / PRCE method) State parameters to identify. The numerical simulation of a tripod-style offshore wind power structure takes into account the actual operating conditions of the wind power structure and imposes random wave loads and fan loads on the structure. The dynamic response data is used to identify modal parameters of wind power overall structure, and the false modalities are removed by using the stability diagrams and modal confidence criteria. The influence of reference channel selection in NExT on modal parameter identification is analyzed . By comparing with the modal parameters of the finite element model, the validity of NExT / PRCE method for wind power structure parameter identification is verified.