Genetic Algorithm-Based Decision Support for Optimizing Seismic Response of Piping Systems
Publication: Journal of Structural Engineering
Volume 131, Issue 3
Abstract
This paper describes computational approaches used in a prototype decision support system (DSS) for seismic design and performance evaluation of piping supports. The DSS is primarily based on a genetic algorithm (GA) that uses finite element analyses, and an existing framework for high performance distributed computing on workstation clusters. A detailed discussion is presented on various issues related to the development of an efficient GA implementation for evaluating the trade-off between the number of supports and cost. An integer string representation of the type used in some existing studies, for instance, is shown to be inferior to a binary string representation, which is appropriate when supports are modeled as axially rigid. A novel seeding technique, which overcomes the inefficiencies of conventional methods in the context of pipe support optimization, is also presented. Finally, an efficient crossover scheme is proposed for generating trade-off curves and the approach is validated with respect to optimal solutions obtained by enumeration. In addition to computational enhancements, the role of joint-cognitive decision making is explored using “Modeling to Generate Alternatives - MGA,” a methodology based on optimization to produce alternatives that may spur creativity and offer new insights. These computational approaches are illustrated with applications to a simple, representative piping system, as well as an actual power plant piping system.
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Acknowledgments
This material is based upon work supported by the National Science Foundation under Grant No. 0084551 and by the Center for Nuclear Power Plant Structures, Equipment and Piping at North Carolina State University. Resources for the Center come from the dues paid by member organizations and from the Civil Engineering Department and College of Engineering in the University. Interested readers may contact the writers for detailed information on the real-life piping system.
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© 2005 ASCE.
History
Received: Sep 25, 2002
Accepted: Jun 23, 2004
Published online: Mar 1, 2005
Published in print: Mar 2005
Notes
Note. Associate Editor: Christopher M. Foley
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