Wind and Structures

  • 제33권1호
  • /
  • Pages.55-69
  • /
  • 2021
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  • 1226-6116(pISSN)
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  • 1598-6225(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Fast simulation of large-scale non-stationary wind velocities based on adaptive interpolation reconstruction scheme

  • Han, Hui (Department of Civil Engineering, School of Mechanics and Engineering Science, Shanghai University) ;
  • Li, Chunxiang (Department of Civil Engineering, School of Mechanics and Engineering Science, Shanghai University) ;
  • Li, Jinhua (Department of Civil Engineering, East China Jiaotong University)
  • 투고 : 2019.11.28
  • 심사 : 2021.06.15
  • 발행 : 2021.07.25
⟨ 이전 논문 다음 논문 ⟩

초록

Spectral representation method (SRM) is the most classical one for the simulation of wind velocity. It is inefficiency when applied to large-scale non-stationary wind velocities with large simulation points. There are two reasons: numerous Cholesky decomposition and summation of Trigonometric terms. In order to improve the efficiency while ensuring accuracy, two aspects of work have been in this paper. (1) An adaptive interpolation-enhanced scheme is devised, which uses "average resolution" as the quantization index. This scheme can automatically realize the non-uniform distribution of interpolation points in two dimensions of time and frequency simultaneously, and improve the accuracy of interpolation. (2) The non-stationary wind velocities were reconstructed in time, frequency and space domain. Firstly, interpolation in time and frequency domain is directly applied to the H matrix, then proper orthogonal decomposition (POD) technology is introduced to decouple the wind velocities at spatial interpolation points, so as to obtain the time-dependent principal coordinates and space-dependent intrinsic mode function (IMF). Finally, IMF is reconstructed in the space domain to obtain the complete wind velocities. The above methodology is carried out to a super high-rise building containing 100 wind velocities simulation points and, results show that the proposed approach saves about 88% of the computational time compared with the classical SRM; saves about 47% of the computational time compared with the time-frequency interpolation based method. This paper achieves the rapid construction of large-scale non-stationary wind velocities.

키워드

과제정보

This study is supported by the National Natural Science Foundation of China (Grant No. 51778354).

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