Fuzzy Discrete Multicriteria Cost Optimization of Steel Structures
This article has been corrected.
VIEW CORRECTIONPublication: Journal of Structural Engineering
Volume 126, Issue 11
Abstract
Only a small fraction of the hundreds of papers published on optimization of steel structures deal with cost optimization; the great majority deal only with minimization of the weight of the structure. Those few that are concerned with cost optimization deal with small two-dimensional or academic examples. In this article, the writers present a fuzzy discrete multicriteria cost optimization model for design of space steel structures subjected to the actual constraints of commonly-used design codes such as the AISC ASD code by considering three design criteria: (1) minimum material cost; (2) minimum weight; and (3) minimum number of different section types. The computational model starts with a continuous-variable minimum weight solution with a preemptive constraint violation strategy as the lower bound followed by a fuzzy discrete multicriteria optimization. It is concluded that solving the structural design problem as a cost optimization problem can result in substantial cost savings compared with the traditional minimum weight solution, especially for large moment-resisting structures. In a 36-story moment-resisting space frame with bracings, the cost savings is in the range of 15.6–28.8%.
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Information & Authors
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Published In
Journal of Structural Engineering
Volume 126 • Issue 11 • November 2000
Pages: 1339 - 1347
History
Received: Jan 27, 2000
Published online: Nov 1, 2000
Published in print: Nov 2000
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