TECHNICAL PAPERS
Dec 1, 2006

Structural Weight Optimization of Frames Using Tabu Search. I: Optimization Procedure

Publication: Journal of Structural Engineering
Volume 132, Issue 12

Abstract

A class of search techniques, heuristic search methods, and their suitability for structural optimization are considered for discrete optimization problems. The tabu search method is selected for application to structural weight optimization of skeleton structures. The search method is first tested to find the minima of a function in a nonlinear nonconvex optimization mathematical problem, and an algorithm is developed. Further, a computer program is developed that uses tabu search for weight minimization of two-dimensional framed structures. The program, written in the FORTRAN computer language, performs search, structural analysis, and structural design in an iterative procedure. The program is used to optimize the weight of three previously designed frames including three-story/three-bay, nine-story/five-bay, and 20-story/five-bay steel moment resisting frames. The program demonstrated its capability of optimizing the weight of these medium size frames in a reasonable amount of time without requiring engineer interference during the search. The structural weights for the three frames are reduced by an average of 23.4% from their original design weight.

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References

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Information & Authors

Information

Published In

Go to Journal of Structural Engineering
Journal of Structural Engineering
Volume 132Issue 12December 2006
Pages: 1858 - 1868

History

Received: Nov 4, 2003
Accepted: Apr 24, 2006
Published online: Dec 1, 2006
Published in print: Dec 2006

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Notes

Note. Associate Editor: Christopher M. Foley

Authors

Affiliations

Mohsen Kargahi
Senior Engineer, Weidlinger Associates, Inc., Hart-Weidlinger Division, 2525 Michigan Ave., No. D2-3, Santa Monica, CA 90404. E-mail: [email protected]
James C. Anderson
Professor, Dept. of Civil and Environmental Engineering, Univ. of Southern California, Los Angeles, CA 90089. E-mail: [email protected]
Maged M. Dessouky
Associate Professor, Dept. of Industrial and Systems Engineering, Univ. of Southern California, Los Angeles, CA 90089. E-mail: [email protected]

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