Application of autoregressive modeling in proper orthogonal decomposition of building wind pressure

• Published in: Journal of wind engineering and industrial aerodynamics Vol. 69; pp. 685 - 695
• Main Authors: Jeong, S.H., Bienkiewicz, B.
• Format: Journal Article Conference Proceeding
• Language: English
• Published: Amsterdam Elsevier Ltd 1997; Elsevier Science
• Subjects: Applied sciences; Autoregressive modeling; Buildings. Public works; Climatology and bioclimatics for buildings; Computation methods. Tables. Charts; Exact sciences and technology; Proper orthogonal decomposition; Structural analysis. Stresses; Wind pressure; Wind tunnel data; Wind pressure; Proper orthogonal decomposition; Autoregressive modeling; Wind tunnel data; Autocorrelation function; Buildings; Low rise building; Wind tunnel test; Pressure distribution; Aerodynamics; Wind effect; Decomposition; Autoregressive model; Roof; Orthogonal function; Building wall; Numerical simulation
• ISSN: 0167-6105; 1872-8197
• DOI: 10.1016/S0167-6105(97)00197-9

Application of autoregressive (AR) modeling in study of the results of proper orthogonal decomposition (POD) of wind-induced pressure on a low-rise building is described in the paper. The POD principal coordinates (PC) were obtained for point pressure measured simultaneously at 495 taps on the surface of a model of a low-rise building. The AR models were next fitted for the first four PC, and they were compared with the AR models developed for point pressure at representative taps on the building windward wall and roof. It was found that the order of the AR required for the principal coordinates was relatively low, and it did not exceed the order of the AR established for the considered point pressure.