contributor author | Abhinav Gupta | |
contributor author | Prakash Kripakaran | |
contributor author | G. (Kumar) Mahinthakumar | |
contributor author | John W. Baugh Jr. | |
date accessioned | 2017-05-08T20:59:19Z | |
date available | 2017-05-08T20:59:19Z | |
date copyright | March 2005 | |
date issued | 2005 | |
identifier other | %28asce%290733-9445%282005%29131%3A3%28389%29.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/34487 | |
description 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. | |
publisher | American Society of Civil Engineers | |
title | Genetic Algorithm-Based Decision Support for Optimizing Seismic Response of Piping Systems | |
type | Journal Paper | |
journal volume | 131 | |
journal issue | 3 | |
journal title | Journal of Structural Engineering | |
identifier doi | 10.1061/(ASCE)0733-9445(2005)131:3(389) | |
tree | Journal of Structural Engineering:;2005:;Volume ( 131 ):;issue: 003 | |
contenttype | Fulltext | |