Akademik Veri Yönetim Sistemi
4th International Civil Engineering & Architecture Conference, Trabzon, Türkiye, 17 Mayıs - 19 Ekim 2025, ss.2184-2192, (Tam Metin Bildiri)
In this study, Rao1, Rao2, Rao3, SAMP-Rao1, SAMP-Rao2, SAMP-Rao3, and Ch-SAMP-Rao
algorithms developed using a chaotic switching strategy were used in the optimum designs of single-span
reinforced concrete slab bridge superstructures with minimum CO2 emissions. The main purpose of the study is to
examine the performance of the developed Ch-SAMP-Rao algorithm compared to other Rao algorithm versions.
In the developed chaotic SAMP-Rao algorithm, switching was performed between the search equations used in
the SAMP-Rao1, SAMP-Rao2, and SAMP-Rao3 algorithms with chaotic maps. Thus, it was thought that these
three algorithms, which show different performance in different problems, could show a more stable performance.
For this purpose, a problem suite consisting of two different reinforced concrete slab bridge problems was created
by considering the AASHTO-LRFD Bridge Code. There was a total of 13 design variables in the problem. These
were deck thickness, main rebar diameter in the interior and edge strip, distribution rebar diameter in the interior
and edge strip, shrinkage and temperature rebar diameter, concrete grade, steel rebar grade, main rebar spacing in
the interior and edge strip, distribution rebar spacing in the interior and edge strip, and shrinkage and temperature
rebar spacing. The findings obtained as a result of the independent simulations were evaluated with box plot
graphics and the Friedman test, which is a non-parametric statistical test. The findings showed that the performance