Title: A mixed-integer linear programming approach for global discrete size optimization of frame structures
Authors: Van Mellaert, Roxane
Mela, Kristo
Tiainen, Teemu
Heinisuo, Markku
Lombaert, Geert
Schevenels, Mattias
Issue Date: 5-Jun-2016
Host Document: Proceedings of the European Congress on Computational Methods in Applied Sciences and Engineering 2016 pages:10062-10062
Conference: European Congress on Computational Methods in Applied Sciences and Engineering 2016 location:Crete, Greece date:5-10 June 2016
Abstract: This paper proposes a method to solve discrete size optimization problems of frame structures to global optimality. Global optimality is guaranteed by reformulating the optimization problem as a mixed-integer linear program (MILP) and solving it with the branch-andbound method. The presented mixed variable formulation extends the existing mixed variable formulation for size and topology optimization of truss structures. The MILP is obtained by adopting the simultaneous analysis and design approach. The variables consist of binary decision
variables to select a profile section from the catalog, and state variables representing the member end forces. The equilibrium equations and member stiffness relations are included as constraints. The displacement and stress constraints are formulated such that for each member
limit values are imposed at predefined locations along the member. The proposed method is applied to a three-bay three-story frame.
Publication status: published
KU Leuven publication type: IC
Appears in Collections:Structural Mechanics Section
Architectural Engineering (+)

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