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为了提高本征正交分解(POD)方法识别复杂体型屋盖结构且结构表面测点布置不均匀的风压场的精度,提出了改进加权POD方法,采用双加权的手段,以结构上测点风压自根方差和测点面积做为权重.为了避免淡化某个权重的影响,首先将两个权重做了规格化处理.以深圳市民中心的屋盖结构为工程背景,根据风洞试验同步采集的风压数据,来识别作用在结构表面的风压.利用该改进方法,重建了深圳市民中心屋盖结构的随机风压场,对重建的风压时程、均值以及根方差值与实测风压时程、均值以及根方差做了比较,利用本文提出的方法识别典型测点的风压时程均值的最大误差为11.37%、根方差的最大误差为29.3%;而加权POD法识别典型测点的风压时程均值的最大误差超过100%出现了识别错误、根方差的最大误差达到了55.6%.
In order to improve the precision of the wind pressure field with the complex body structure and the nonuniform arrangement of measuring points on the structure surface by the method of POD, an improved weighted POD method is proposed. By means of double weighting, Wind pressure root square deviation and measuring point area as the weight.In order to avoid dilute the impact of a weight, the two weights are first normalized.With the Shenzhen Civic Center roof structure as the engineering background, according to wind tunnel test synchronization Wind pressure data collected to identify the wind pressure acting on the surface of the structure.Using this improved method, the stochastic wind pressure field of Shenzhen Civic Center roof structure was reconstructed, and the wind pressure time history, mean value, root mean square deviation The measured wind pressure time series, mean value and root variance are compared. The maximum error of wind pressure time history of the typical measuring points identified by this method is 11.37% and the maximum variance of root variance is 29.3%. The weighted POD method The typical error of wind pressure time-history average error of more than 100% occurred the recognition error, and the maximum error of root variance reached 55.6%.