DocumentCode
2552816
Title
The determination of optimal design plan of the Sha-He aqueduct
Author
Li, Yuhe ; Bai, Xinli ; Wu, Zeyu
Author_Institution
North China Univ. of Water Resources & Electr. Power, Zhengzhou, China
fYear
2010
fDate
16-18 April 2010
Firstpage
319
Lastpage
323
Abstract
In this paper, Genetic Algorithms (GA) is adopted as the global searching methods, and the direct search method of mixed discrete variables as the local searching method. Then the GA is improved and the hybrid GA (HGA) is formed. Based on the HGA, the optimal design programs for aqueduct are developed, and used to optimize the Sha-He aqueduct. Four aqueduct design plans are obtained: 2-line double U-sectioned, 2-line U-sectioned, 2-line double Rectangle-sectioned, 2-line Rectangle-sectioned. Finally the 2-line double U-sectioned aqueduct is chosen as the best design. Optimization results show that U-sectioned aqueduct is superior to Rectangle-sectioned aqueduct in economic and safety aspects, and GA is an effective optimal design method worth of application and dissemination.
Keywords
bridges (structures); canals; design engineering; genetic algorithms; safety; search problems; 2-line U-sectioned design; 2-line double U-sectioned design; 2-line double rectangle-sectioned design; 2-line rectangle-sectioned design; Sha-He aqueduct; direct search method; economic aspect; global searching method; hybrid genetic algorithms; local searching method; mixed discrete variables; optimal design plan; safety aspect; Algorithm design and analysis; Concrete; Design optimization; Genetic algorithms; Mathematical model; Rivers; Search methods; Tensile stress; Water resources; Wires; Sha-He aqueduct; U-shaped cross section; hybrid GA; rectangular-shaped cross section; structural optimal design;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-5263-7
Electronic_ISBN
978-1-4244-5265-1
Type
conf
DOI
10.1109/ICIME.2010.5478025
Filename
5478025
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