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Modified Ant Colony Optimization for Topology Optimization of Geometrically Nonlinear Structures
유광선,한석영 한국정밀공학회 2014 International Journal of Precision Engineering and Vol. No.
Standard Ant Colony Optimization (ACO) algorithm cannot provide an optimal topology for geometrically nonlinear structuralproblems. The reason is that the tangential stiffness matrix of low-density elements may become zero or negative, which leads toserious numerical instability problems, or the standard ACO algorithm cannot search the really efficient elements because of improperelement search method. A modified ant colony optimization (MACO) algorithm is suggested to improve computational efficiency andsuitability of standard ACO algorithm in topology optimization for these problems. A continuous variable, called the “ElementContribution Significance (ECS),” is introduced, which serves to replace the positions of ants in the standard ACO algorithm, andassess the importance of each element in the optimization process. The optimized topologies based on MACO algorithm are comparedto those of the other topology methods. From the comparison, it is verified that MACO algorithm can successfully be applied totopology optimization for geometrically nonlinear structures, as well as provide stable and robust topologies.
유광선,박정완,히다카 신이치,한석영,Yoo, Kwang-Seon,Park, Jeong-Wan,Sinichi, Hidaka,Han, Seog-Young 한국생산제조학회 2010 한국생산제조학회지 Vol.26 No.1
Optimum design of movable hydraulic crane's booms for weight reduction was performed in this study. Since the boom weight of the present used booms is very heavy, it is needed to make them lighter structure as possible as we can. Optimum design was performed for the booms by changing from the hexagonal cross section to triangular truss structure under the conditions, which are the allowable stress for the present cross section must be maintained, and the optimized weight must be minimized. CATIAV5 was used for stress analysis and design variables were established as the height and width of the triangular truss structure. As the results, it is found that the height of the truss structure is increased in proportion to the height of the booms and the maximum stress for optimal truss structure was obtained as 412MPa, which is lower than the allowable stress for the present hexagonal cross section. The optimized weight of the booms is reduced to about 19.88% comparing to the original weight.
Topology optimum design of compliant mechanisms using modified ant colony optimization
유광선,한석영 대한기계학회 2015 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.29 No.8
A Modified ant colony optimization (MACO) algorithm was suggested for topology optimal design of compliant mechanisms sincestandard ACO cannot provide an appropriate optimal topology. In order to improve computational efficiency and suitability of standardACO algorithm in topology optimization for compliant mechanisms, a continuous variable, called the “Element contribution significance(ECS),” is employed, which serves to replace the positions of ants in the standard ACO algorithm, and assess the importance of eachelement in the optimization process. MACO algorithm was applied to topology optimizations of both linear and geometrically nonlinearcompliant mechanisms using three kinds of objective functions, and optimized topologies were compared each other. From the comparisons,it was concluded that MACO algorithm can effectively be applied to topology optimizations of linear and geometrically nonlinearcompliant mechanisms, and the ratio of Mutual potential energy (MPE) to Strain energy (SE) type of objective function is the best fortopology optimal design of compliant mechanisms.