Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/29538
Title: Prediction of typhoon design wind speed and profile over complex terrain
Authors: Huang, WF
Xu, YL 
Keywords: CFD simulation
Complex terrain
Design wind speed
Neural network
Surface roughness length
Topography
Typhoon wind field
Wind profile
Issue Date: 2013
Publisher: Techno Press
Source: Structural engineering and mechanics, 2013, v. 45, no. 1, p. 1-18 How to cite?
Journal: Structural engineering and mechanics 
Abstract: The typhoon wind characteristics designing for buildings or bridges located in complex terrain and typhoon prone region normally cannot be achieved by the very often few field measurement data, or by physical simulation in wind tunnel. This study proposes a numerical simulation procedure for predicting directional typhoon design wind speeds and profiles for sites over complex terrain by integrating typhoon wind field model, Monte Carlo simulation technique, CFD simulation and artificial neural networks (ANN). The site of Stonecutters Bridge in Hong Kong is chosen as a case study to examine the feasibility of the proposed numerical simulation procedure. Directional typhoon wind fields on the upstream of complex terrain are first generated by using typhoon wind field model together with Monte Carlo simulation method. Then, ANN for predicting directional typhoon wind field at the site are trained using representative directional typhoon wind fields for upstream and these at the site obtained from CFD simulation. Finally, based on the trained ANN model, thousands of directional typhoon wind fields for the site can be generated, and the directional design wind speeds by using extreme wind speed analysis and the directional averaged mean wind profiles can be produced for the site. The case study demonstrated that the proposed procedure is feasible and applicable, and that the effects of complex terrain on design typhoon wind speeds and wind profiles are significant.
URI: http://hdl.handle.net/10397/29538
ISSN: 1225-4568
EISSN: 1598-6217
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

2
Citations as of Apr 11, 2016

WEB OF SCIENCETM
Citations

2
Last Week
0
Last month
0
Citations as of Aug 15, 2017

Page view(s)

41
Last Week
4
Last month
Checked on Aug 14, 2017

Google ScholarTM

Check



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.