MINLP Optimization Of Steel Frames
Author(s)
S. Kravanja & U. Klanšek
Abstract
In this paper we deal with the topology and standard optimization of unbraced
steel frames with rigid beam-to-column connections. The optimization has been
performed by the Mixed-Integer Non-linear Programming (MINLP) approach.
The MINLP performs a discrete topology and standard dimension optimization,
while continuous parameters are simultaneously calculated inside the continuous
space. As the discrete/continuous optimization problem of steel frames is
non-convex and highly non-linear, the Modified Outer-Approximation/Equality-
Relaxation (OA/ER) algorithm has been used for the optimization. Two practical
examples with the results of the optimization are shown at the end of the paper.
1 Introduction
The paper presents the topology and standard dimension optimization of
unbraced steel frames with rigid beam-to-column connections. The optimization
of frames is performed by the Mixed-Integer Nonlinear Programming, MINLP.
The MINLP is a combined discrete-continuous optimization technique. In this
way, the MINLP performs the discrete topology (i.e. the number of columns and
beams) and standard dimension optimization (i.e. standard cross-section sizes)
simultaneously with the continuous optimization of parameters (e.g. internal
forces, deflections, mass, costs, etc.).
The MINLP discrete/continuous optimization problems of frames are in most
cases comprehensive, non-convex and highly non-linear. This optimization
approach is proposed to be performed through three steps. The first one includes
the generation of a mechanical superstructure of different topology and standard
dimension alternatives, the second one involves the development of an MINLP
model formulation and the last one consists of a solution for the defined MINLP
optimization problem.
Keywords
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