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PROPER ORTHOGONAL DECOMPOSITION OF RANDOM WIND PRESSURE FIELD
Institution:1. Department of Architecture, Tokyo Institute of Polytechnics, Atsugi, Kanagawa, Japan;2. Institute of Technology, Shimizu Corporation, Koto, Tokyo, Japan;1. Department of Civil and Environment Engineering, Northeastern University, 360 Huntington Ave., Boston, MA 02115, USA;2. Department of Engineering Mechanics and Automation, Vietnam National University, 144 XuanThuy Rd., CauGiay, Hanoi, Viet Nam;1. Department of Engineering, Universidad Nacional del Sur, Alem 1253, 8000 Bahía Blanca and CONICET, Argentina;2. Pontificia Universidade Católica, Department of Mechanical Engineering, Rua Marquês de São Vicente, 225, 22452-900 Rio de Janeiro, Brazil;1. Department of Civil and Environmental Engineering, Western University, Canada;2. School of Engineering, University of British Columbia, 3333 University Way, Kelowna, BC, V1V 1V7, Canada;3. FPInnovations and University of British Columbia, Canada;1. Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education, Harbin Institute of Technology, Harbin, 150090, China;2. Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology, Harbin Institute of Technology, Harbin, 150090, China;3. Beijing''s Key Laboratory of Structural Wind Engineering and Urban Wind Environment, Beijing Jiaotong University, Beijing, 100044, China;4. Department of Mechanical Engineering, The University of Auckland, Auckland, 1142, New Zealand;1. Centro de Investigación de Métodos Computacionales (CIMEC), UNL, CONICET, Predio “Dr. Alberto Cassano”, Colectora Ruta Nacional 168 s/n, 3000 Santa Fe, Argentina;2. Grupo de Investigación en Mecánica Computacional y Estructuras (GIMCE), Facultad Regional Concepción del Uruguay (FRCU), Universidad Tecnológica Nacional (UTN), 3260 Concepción del Uruguay, Argentina;3. Facultad de Ingeniería y Ciencias Hídricas – Universidad Nacional del Litoral, Ciudad Universitaria, Paraje “El Pozo”, Santa Fe, Argentina
Abstract:This paper discusses the application of the Proper Orthogonal Decomposition (POD) technique to randomly fluctuating wind pressure fields acting on a building surface. POD is a method of detecting a new coordinate system which can most efficiently represent the original fluctuating phenomena. This method can identify the deterministic or systematic structure hidden in the random fluctuations and thus help us to understand the phenomena better. It also demonstrates that the coordinate system employed is the most efficient, and can greatly reduce the amount of data that needs to be stored to re-examine the phenomena. Precautions in its application to random fields with mean values and with a singular condition are also mentioned. Furthermore, this paper introduces an example of the method's application to the evaluation of properties and the prediction of responses to wind forces acting on high-rise buildings; the validity of the method is also verified.
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