ESTIMATON OF WIND LOAD ON STRUCUTRES
Abstract eng: Accurate spatial and temporal estimation of wind load on structures plays an important role in design and construction of buildings in coastal regions and open trains. The common approach to this problem is using codes and standards obtained from wind-tunnel tests on isolated structures. The use of artificial neural networks for finding specific patterns in data obtained from different wind-tunnel/filed tests has been reported in the literature. In this study localized radial basis functions neural networks are proposed and successfully used for estimation of wind load on a three-story shear building using state-space model of the structure.
Contributors:
Publisher:
Columbia University in the City of New York
Conference Title:
Conference Title:
15th ASCE Engineering Mechanics Division Conference
Conference Venue:
New York (US)
Conference Dates:
2002-06-02 / 2002-06-05
Rights:
Text je chráněný podle autorského zákona č. 121/2000 Sb.
Record appears in:
Record created 2014-11-19, last modified 2014-11-19
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