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Wind Velocity Field Simulation of the Large-Span Spatial Structure Based on the Wavelet Decomposition Method

Author

Listed:
  • Daming Zhang
  • Fangjin Sun
  • Zhonghao Xu
  • Andriette Bekker

Abstract

In this study, the wavelet decomposition method is combined with the vector AR model of the linear filter method to present a new method for simulating the fluctuating wind field of a large-span spatial structure. This method performs wavelet expansion on the autoregressive coefficients of the vector AR model in adequate space and adopts the least square method to estimate the autoregressive coefficients of the AR model. The implementation steps of this method are to simulate the wind field of large-span structures are given. The method is applied to the wind velocity field simulation of a large-span spatial structure, and the comparison between the simulation result and the target value and the comparison with the simulation result of the vector AR model are given. The results prove that the proposed method can reduce the information loss of wind velocity time-series analysis in the frequency domain, can accurately simulate the wind velocity time series of large-span spatial structures, and has high computational efficiency.

Suggested Citation

  • Daming Zhang & Fangjin Sun & Zhonghao Xu & Andriette Bekker, 2022. "Wind Velocity Field Simulation of the Large-Span Spatial Structure Based on the Wavelet Decomposition Method," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-9, December.
    • Handle: RePEc:hin:jnlmpe:7674248
    DOI: 10.1155/2022/7674248
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