ARCH DAM OPTIMIZATION CONSIDERING FLUID-STRUCTURE INTERACTION WITH FREQUENCY CONSTRAINTS USING ARTIFICIAL INTELLIGENCE METHODS

摘要：

An efficient method is proposed to find optimal design of arch dams on the basis of constrained natural frequencies utilizing continuous evolutionary algorithm. To extract natural frequencies of arch dam considering fluid-structure interaction, it is necessary to solve the unsymmetrical damped eigenproblem. This means that the process of natural frequencies extraction may impose much computational effort. This deficiency can be resonated when a grate number of structural analyses are needed during the optimization process. In order to reduce the computational cost of the optimization problem, the natural frequencies of arch dam are predicted by properly trained back propagation (BP) and wavelet back propagation (WBP) neural networks. The presented WBP network appears better performance generality than BP network. The numerical results reveal the computational advantages of the proposed methods for optimal design of arch dams.

关键词： arch dam natural frequency optimum design wavelet theory neural networks.

作者: J. Salajegheh E. Salajegheh S.M. Seyedpoor S. Gholizadeh

作者单位: Dr, Dept. of Civil Engineering, University of Kerman, Kerman. Iran Dept. Of Civil Engineering, University of Kerman, Kerman. Iran

会议类型: 国际会议

会议名称: 14th World Conference on Earthquake Engineering(第十四届国际地震工程会议)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-12（万方平台首次上网日期，不代表论文的发表时间）