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Topology Design of Truss Structures in a Multicriteria Environment
Author(s) -
Ruy WonSun,
Yang YoungSoon,
Kim GiHwa,
Yeun YunSeog
Publication year - 2001
Publication title -
computer‐aided civil and infrastructure engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.773
H-Index - 82
eISSN - 1467-8667
pISSN - 1093-9687
DOI - 10.1111/0885-9507.00230
Subject(s) - truss , optimal design , sizing , mathematical optimization , topology optimization , network topology , genetic algorithm , engineering design process , process (computing) , analogy , computer science , topology (electrical circuits) , multi objective optimization , design process , engineering , structural engineering , mathematics , finite element method , mechanical engineering , work in process , art , linguistics , philosophy , operations management , electrical engineering , machine learning , visual arts , operating system
As an analogy of the general design process, this article presents a novel design approach that could generate structural design alternatives having different topologies and then select the optimal structures from them together with simultaneously determining the optimal design variables related to geometry and member size subjected to a multiple objective design environment. For this purpose, a specialized genetic algorithm, called StrGA_ DeAl +MOGA, that can handle the design alternatives and multicriteria problems very effectively is developed for the optimal structural design. To validate the developed method, plain‐truss design problems are considered as illustrative examples. To begin with, the promising topologies are generated under the name of “design alternatives” with consideration of the given multiobjective environment. Based on the selected topology of truss structures, the sizing or geometric optimization process starts to determine the optimal design parameters. Three‐bar and ten‐bar truss problems are treated in the article to test the concept and methodology.