New approach to optimization of reinforced concrete beams
by
M. Leps and M. Sejnoha
Abstract
The present paper outlines an application of genetic algorithm based
strategies to a class of optimization tasks associated with the design
of steel reinforced concrete structures. In this particular case,
the principal design objective is to minimize the total cost of a
structure. The resulting structure, however, should not only be marked
with a low price but also comply with all strength and serviceability
requirements for a given level of the applied load. To solve such a
complex optimization problem with a number constraints calls for an
efficient and yet reliable optimization technique. Here, the
problem is addressed with the help of the augmented simulated
annealing method. As an example, a simple continuous steel reinforced
beam is analyzed to assess applicability of the proposed approach.
Last modified: Nov 4 2000