Estimation of directional design wind speeds via multiple population genetic algorithm. Issue 210 (March 2021)
- Record Type:
- Journal Article
- Title:
- Estimation of directional design wind speeds via multiple population genetic algorithm. Issue 210 (March 2021)
- Main Title:
- Estimation of directional design wind speeds via multiple population genetic algorithm
- Authors:
- Wang, Jingcheng
Quan, Yong
Gu, Ming - Abstract:
- Abstract: The implementation of the probability analysis method on extreme wind loads considering the directionality and uncertainties of the wind load effect coefficients and wind speeds can yield accurate design wind loads. However, it is difficult to popularize this method among structural designers because its theory and calculation process are complicated. The directional design wind speeds for a given city, which are more suitable in the commonly used simplified method for estimating the wind loads (i.e., the sector-by-sector method), are obtained in this study via multi-parameter optimization. A multiple population genetic algorithm program is established for optimization based on the time histories of the wind pressure coefficients obtained from numerous wind pressure taps of different rigid models. For different structural aerodynamic characteristics, the proposed directional design wind speeds can be combined with the sector-by-sector method to obtain results that are closest to the overall reference values of the design wind pressures of all pressure taps under a certain safety guarantee. The applicability, economy, and safety of the sector-by-sector method with the proposed directional design wind speeds are discussed in comparison to other simplified estimation methods using examples of Des Moines, IA, USA, and Shanghai, China, for non-typhoon and typhoon-prone climates, respectively. Highlights: An MPGA (multiple population genetic algorithm) program wasAbstract: The implementation of the probability analysis method on extreme wind loads considering the directionality and uncertainties of the wind load effect coefficients and wind speeds can yield accurate design wind loads. However, it is difficult to popularize this method among structural designers because its theory and calculation process are complicated. The directional design wind speeds for a given city, which are more suitable in the commonly used simplified method for estimating the wind loads (i.e., the sector-by-sector method), are obtained in this study via multi-parameter optimization. A multiple population genetic algorithm program is established for optimization based on the time histories of the wind pressure coefficients obtained from numerous wind pressure taps of different rigid models. For different structural aerodynamic characteristics, the proposed directional design wind speeds can be combined with the sector-by-sector method to obtain results that are closest to the overall reference values of the design wind pressures of all pressure taps under a certain safety guarantee. The applicability, economy, and safety of the sector-by-sector method with the proposed directional design wind speeds are discussed in comparison to other simplified estimation methods using examples of Des Moines, IA, USA, and Shanghai, China, for non-typhoon and typhoon-prone climates, respectively. Highlights: An MPGA (multiple population genetic algorithm) program was proposed to determine the directional design wind speeds. The results of the MPGA program can significantly improve the effect of the sector-by-sector method. The use of the results of the MPGA program does not affect the concision of the sector-by-sector method. The results of the MPGA program can be easily reused to estimate the extreme wind pressures on different buildings. … (more)
- Is Part Of:
- Journal of wind engineering and industrial aerodynamics. Issue 210(2021)
- Journal:
- Journal of wind engineering and industrial aerodynamics
- Issue:
- Issue 210(2021)
- Issue Display:
- Volume 210, Issue 210 (2021)
- Year:
- 2021
- Volume:
- 210
- Issue:
- 210
- Issue Sort Value:
- 2021-0210-0210-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-03
- Subjects:
- Wind-resistant design -- Design wind speeds -- Directional factors -- Multiple population genetic algorithm -- Extreme wind loads -- Building envelopes
Wind-pressure -- Periodicals
Buildings -- Aerodynamics -- Periodicals
Pression du vent -- Périodiques
Constructions -- Aérodynamique -- Périodiques
Buildings -- Aerodynamics
Wind-pressure
Periodicals - Journal URLs:
- http://www.sciencedirect.com/science/journal/01676105 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.jweia.2021.104534 ↗
- Languages:
- English
- ISSNs:
- 0167-6105
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5072.632000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 15860.xml