Coherency Matrix-based Proper Orthogonal Decomposition with Application to Wind Field Simulation

Proper Orthogonal Decomposition (POD) offers a powerful modal transformation tool for stochastic dynamics. In this paper, coherency matrix-based proper orthogonal decomposition (CPOD) is presented as an innovative form of the POD based on cross power spectral density matrices. By introducing a discretizing scheme, the CPOD-based spectral representation method is obtained for use in stochastic simulation. Some criteria are also proposed that allow the truncation order of CPOD to be conveniently determined. A numerical example to illustrate application of the proposed method for simulation of a wind velocity field is given.

  • Availability:
  • Authors:
    • Liang, Hu
    • Li, Li
    • Jian, Fan
    • Qinhan, Fang
  • Publication Date: 2006-12

Language

  • English

Media Info

Subject/Index Terms

Filing Info

  • Accession Number: 01046652
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Apr 10 2007 1:25PM