@article{article_372217, title={The effect of the consideration of slab dimensions on optimum design of reinforced concrete beams}, journal={European Journal of Engineering and Natural Sciences}, volume={3}, pages={81–85}, year={2019}, author={Nigdeli, Sinan Melih and Bekdaş, Gebrail}, keywords={Metaheuristic algorithm,Frames,Optimization,Teaching learning based optimization}, abstract={<p class="AbstractText" style="margin-right:2.7pt;"> <span style="font-family:Calibri, sans-serif;">In the design of reinforced concrete (RC) beams, the slab
can be also considered as a part of the beam and a t-shaped cross section is
considered. In the presented study, the optimum design of RC beams are
investigated for different slab thickness values. Thus, the effect of the
consideration of slab dimensions for the optimum design is investigated. In the
optimization methodology, an iterative cost optimization process is proposed.
The process contains the optimization of design variables such as the
cross-section dimensions and amount of rebar of RC beams subjected to flexural
moments. In order to find a precise optimum solution without trapping local
optimums, a metaheuristic based method called harmony search is employed. The
optimum values are chosen according to user selected range and the design
constraints. The design constraints are generated according to ACI318- Building
code requirements for structural concrete. By the increase of compressive force
in the compressive section of the beam, the amount of the rebar shows a
decreasing manner and this situation is effective on the optimum design and
cost. </span> <span lang="en-us" style="font-family:Calibri, sans-serif;" xml:lang="en-us"> </span> </p> <p> </p>}, number={2}, publisher={CNR Çevre}