Optimal design of single-story steel building structures based on parametric MINLP optimization

The paper presents an optimal design of single-story industrial steel building structures based on the parametric mixed-integer non-linear programming (MINLP) optimization approach and Eurocode specifications. The optimal design of the structures was investigated for factors which have significant influence on the structure mass: vertical variable load on the structure, horizontal variable load, structure span, structure height, type of standard cross-sections and strength of structural steel.For this purpose, parametric MINLP optimization was performed for a number of combinations between different parameters, i.e. different values of the mentioned influence factors. The single-story steel building superstructure was generated and the MINLP optimization model developed. The objective function of the structure's mass was defined. The modified outer-approximation/equality-relaxation (OA/ER) algorithm and the three-phase MINLP strategy were used to perform the optimization. The minimal possible structure mass, the optimal topology and the optimal standard cross-sections were obtained through each individual MINLP optimization. Based on the obtained optimal results, the recommended optimal design for single-story/single-bay structures and the comparative mass diagrams were developed.

Highlight
► The paper presents an optimal design of single-story steel building structures.
► The parametric mixed-integer non-linear programming (MINLP) optimization is applied.
► The objective function of the structure's mass is defined and Eurocodes are used.
► The recommended optimal design for single-story/bay structures is determined.
► The comparative mass diagrams are developed for choosing the optimal structure.