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What is Optimal Design of Steel-Concrete Beams about?

This study formulates an optimization problem for the design of composite steel-concrete beams with external prestressing, focusing on minimizing CO2 emissions. It employs Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) to evaluate design variables such as cross-section, slab height, concrete strength, and number of tendons. Results indicate that PSO generally outperforms GA, with steel being the largest contributor to emissions, and optimal designs found for concrete with compressive strength

Author

orhan.34.sapmaz

Language

EN