摘要
根据标量过程AR模型生成空间相关性风场的思路,在文献[1,2]的基础上,进行了基于小波分析的空间相关性风场的模拟。在对风速时程做出合理的假定后,给出了由互不相关的随机过程生成具有给定相关特性随机过程的推导步骤。利用逆快速Fourier变换(IFFT)改进了通过Wiener—Khintchine公式由功率谱密度函数得到自相关函数的计算方法,使计算效率显著提高。对空间四点和大庆电视塔进行了空间相关性风场的模拟,通过统计参数与目标值的对比可以看出,本文方法具有较高的精度。
Wind field simulation with spatial correlation via wavelet analysis method is presented based upon the work of reference [1,2] and the thought of scalar process AR model. On assumptions of wind speed history,the synthesis procedure from non-correlation stochastic process to specific correlation＇s was deduced. The algorithm for auto-correlation calculated from power spectrum density （PSD） function by Wiener- Khintchine formula is improved, and the computational efficiency is obviously improved. The simulation method is applied to model of 4 spatial points and Daqing TV tower. Numerical results of the comparisons of statistical parameters against target values indicate that the proposed method is of higher precision.
出处
《空气动力学学报》
CSCD
北大核心
2008年第4期425-429,485,共6页
Acta Aerodynamica Sinica
关键词
风场模拟
小波分析
AR模型
空间相关
wind field simulation
wavelet analysis
AR model
spatial correlation
