Risk-Based Arch Dam Optimization Using Hybrid Charged System Search
Publication: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 4, Issue 2
Abstract
In this paper, the failure costs of an arch dam’s optimum shape were investigated, taking into account the interaction between dam, reservoir, foundation, and hydrodynamic effects resulting from seismic loading. Construction, lifecycle, and failure costs were considered to address the risk-based arch dam optimization problem. Both the flexibility and damping effects of the foundation rock were considered. The optimization was carried out using a hybrid algorithm on the basis of the charged system search and big bang-big crunch methods. A real-world arch dam was investigated as a numerical example to demonstrate the efficiency of the proposed method. The numerical results revealed the computational advantages of the new method and the new defined risk optimization problem for optimal design of arch dams.
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Published In
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 4 • Issue 2 • June 2018
Copyright
©2018 American Society of Civil Engineers.
History
Received: Mar 2, 2016
Accepted: Sep 12, 2017
Published online: Feb 1, 2018
Published in print: Jun 1, 2018
Discussion open until: Jul 1, 2018
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