A recent article titled “Optimization of Fixed Supported Castellated Steel Beams”, co-authored by Asst. Prof. Dr. Ahmad Reshad NOORI, Chair of the Civil Engineering Department, Asst. Prof. Dr. Aylin Ece KAYABEKİR, and their Ph.D. student Marwan Abdulkareem Shakir ALBAYATI, has been published.
The study explores the optimization of castellated steel beams, which are increasingly favored in structural applications due to their aesthetic appeal, geometric versatility, and cost- and performance-efficient characteristics. These beams are particularly advantageous for improving flexural resistance without increasing overall weight.
The research aimed to minimize maximum vertical deflection as the objective function by determining the optimal cross-sectional dimensions using three advanced optimization algorithms: Grey Wolf Optimization (GWO), Particle Swarm Optimization (PSO), and Differential Evolution (DE). The study also evaluated three different steel grades: S235, S255, and S355.
The results showed that PSO and DE produced closely aligned outcomes, while GWO provided slightly different yet applicable solutions. Overall, all three algorithms demonstrated strong potential for structural engineering optimization applications.
We extend our congratulations to Asst. Prof. Dr. Ahmad Reshad NOORI, Asst. Prof. Dr. Aylin Ece KAYABEKİR, and Marwan Abdulkareem Shakir ALBAYATI for their valuable academic contribution and wish them continued success in their research endeavors.
