Session

Civil Engineering, Infrastructure and Environment

Description

The paper discusses the mixed-integer non-linear programming (MINLP) approach to the optimization of structures. The MINLP is an optimization technique which is able to solve non-linear and discrete optimization problems. It calculates continuous variables (loads, dimensions, stresses, deflections, costs) and discrete variables (topology, standard sections, material grades). The MINLP optimization model of a structure should be developed. In the model, an objective function is subjected to structural analysis and dimensioning constraints in order to satisfied ultimate and serviceability limit states according to Eurocodes. Appropriate MINLP algorithms and strategies are used to solve the defined MINLP problem. Two numerical examples are presented at the end of the paper.

Keywords:

Structural Optimization, Discrete optimization, Mixed-Integer Non-Linear Programming, MINLP

Session Chair

Muhamet Ahmeti

Session Co-Chair

Feti Selmani

Proceedings Editor

Edmond Hajrizi

First Page

179

Last Page

185

Location

Lipjan, Kosovo

Start Date

31-10-2020 9:00 AM

End Date

31-10-2020 10:30 AM

DOI

10.33107/ubt-ic.2020.60

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Oct 31st, 9:00 AM Oct 31st, 10:30 AM

MINLP optimization of structures

Lipjan, Kosovo

The paper discusses the mixed-integer non-linear programming (MINLP) approach to the optimization of structures. The MINLP is an optimization technique which is able to solve non-linear and discrete optimization problems. It calculates continuous variables (loads, dimensions, stresses, deflections, costs) and discrete variables (topology, standard sections, material grades). The MINLP optimization model of a structure should be developed. In the model, an objective function is subjected to structural analysis and dimensioning constraints in order to satisfied ultimate and serviceability limit states according to Eurocodes. Appropriate MINLP algorithms and strategies are used to solve the defined MINLP problem. Two numerical examples are presented at the end of the paper.