Abstract
Structural engineering has different designs, which are needed some requirements for generation suitable modelings. These requirements are related safety of structures and living creatures. Furthermore, some parameters are also evaluated like strength, sustainability, serviceability, etc. The second target should be handled through best modeling namely optimization. Thus, a bridge road can be constructed for cost efficiency or a steel system can be designed to provide the lightest weight. In this study, reinforced concrete beams were handled with rectangular and T-sections to provide carbon emission and total cost decrement. Optimal designs were generated towards different concrete strengths and analyzed for various reinforcement costs. Three metaheuristics were utilized: flower pollination algorithm, Jaya algorithm, harmony search. The best ones were determined about the single-objective application and utilized for multi-objective applications in minimization performance. It could be seen that optimal designs were created for several purposes such as economy, cleanliness, environment friendly, safety via cost, and CO2 emission minimization.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
