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http://dx.doi.org/10.12989/sem.2012.44.3.379

Time-history analysis based optimal design of space trusses: the CMA evolution strategy approach using GRNN and WA  

Kaveh, A. (Centre of Excellence for Fundamental Studies in Structural Engineering, Iran University of Science and Technology)
Fahimi-Farzam, M. (Centre of Excellence for Fundamental Studies in Structural Engineering, Iran University of Science and Technology)
Kalateh-Ahani, M. (Centre of Excellence for Fundamental Studies in Structural Engineering, Iran University of Science and Technology)
Publication Information
Structural Engineering and Mechanics / v.44, no.3, 2012 , pp. 379-403 More about this Journal
Abstract
In recent years, the need for optimal design of structures under time-history loading aroused great attention in researchers. The main problem in this field is the extremely high computational demand of time-history analyses, which may convert the solution algorithm to an illogical one. In this paper, a new framework is developed to solve the size optimization problem of steel truss structures subjected to ground motions. In order to solve this problem, the covariance matrix adaptation evolution strategy algorithm is employed for the optimization procedure, while a generalized regression neural network is utilized as a meta-model for fitness approximation. Moreover, the computational cost of time-history analysis is decreased through a wavelet analysis. Capability and efficiency of the proposed framework is investigated via two design examples, comprising of a tower truss and a footbridge truss.
Keywords
size optimization; space truss structure; time-history analysis; the covariance matrix adaptation evolution strategy (CMA-ES); generalized regression neural network (GRNN); wavelet analysis (WA);
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