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http://dx.doi.org/10.14775/ksmpe.2020.19.05.027

Discrete Sizing Design of Truss Structure Using an Approximate Model and Post-Processing  

Lee, Kwon-Hee (Department of Mechanical Engineering, Dong-A University)
Publication Information
Journal of the Korean Society of Manufacturing Process Engineers / v.19, no.5, 2020 , pp. 27-37 More about this Journal
Abstract
Structural optimization problems with discrete design variables require more function calculations (or finite element analyses) than those in the continuous design space. In this study, a method to find an optimal solution in the discrete design of the truss structure is presented, reducing the number of function calculations. Because a continuous optimal solution is the Karush-Kuhn-Tucker point that satisfies the optimality condition, it is assumed that the discrete optimal solution is around the continuous optimum. Then, response values such as weight, displacement, and stress are predicted using approximate models-referred to as hybrid metamodels-within specified design ranges. The discrete design method using the hybrid metamodels is used as a post-process of the continuous optimization process. Standard truss design problems of 10-bar, 25-bar, 15-bar, and 52-bar are solved to show the usefulness of this method. The results are compared with those of existing methods.
Keywords
Discrete Design; Structural Optimization; Truss Structure; Hybrid Metamodel;
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Times Cited By KSCI : 2  (Citation Analysis)
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