NDLI: Shape optimization of arch dams under earthquake loading using meta-heuristic algorithms

Content Provider	Springer Nature Link
Author	Kaveh, A. Mahdavi, V. R.
Copyright Year	2013
Abstract	This paper presents efficiency of three meta-heuristic algorithms for large-scale shape optimization of double curvature arch dams under seismic loading condition with different constraints such as failure, stability and geometrical limitations. The earthquake load is considered by time variant ground acceleration applied in the upstream-downstream direction of the arch dam. Here, the Westergaard method is used to include the dam-reservoir interaction. For optimization, the Charged System Search (CSS), Particle Swarm Optimization (PSO), and a hybrid CSS and PSO (CSS-PSO) are utilized. Numerical results demonstrate the effectiveness of the meta-heuristic algorithms for optimal shape design of arch dams. Comparative studies illustrates that the superiority CSS-PSO algorithm compared to the standard PSO and CSS. A parametric study is also conducted to investigate the effect of water depth and earthquake intensity on the cost optimization of the arch dams.
Starting Page	1690
Ending Page	1699
Page Count	10
File Format	PDF
ISSN	12267988
Journal	KSCE Journal of Civil Engineering
Volume Number	17
Issue Number	7
e-ISSN	19763808
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2013-10-24
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	optimal design arch dams charged system search algorithm particle swarm optimization hybrid method Civil Engineering Industrial Pollution Prevention Geotechnical Engineering & Applied Earth Sciences
Content Type	Text
Resource Type	Article
Subject	Civil and Structural Engineering

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