论文信息 - Topology, Shape and Standard Sizing Optimization of Trusses Using MINLP Optimization Approach

Topology, Shape and Standard Sizing Optimization of Trusses Using MINLP Optimization Approach

The paper presents the simultaneous topology, shape and discrete/standard sizing optimization of steel trusses using Mixed-Integer Non-linear Programming (MINLP) approach. The discrete/continuous non-convex and non-linear optimization problems are solved by the Modified OA/ER algorithm. Two types of objective functions are introduced for the optimization, namely a volume/mass objective function and an economic objective function. The design constraints are defined in accordance to Eurocode 3. A numerical example is presented at the end of the paper in order to show the suitability of the proposed approach and to emphasize the importance of selecting a proper objective function.

Simon Šilih | Stojan Kravanja | S. Kravanja | S. Šilih

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