City Research Online

Items where Author is "Abarkan, I."

Group by: Type | No Grouping
Jump to: Article
Number of items: 5.

Article

Sarfarazi, S. ORCID: 0000-0003-4987-4801, Ferreira, F. P. V. ORCID: 0000-0001-8007-789X, Shamass, R. ORCID: 0000-0002-7990-8227 , Tsavdaridis, K. D. ORCID: 0000-0001-8349-3979, Abarkan, I. ORCID: 0000-0002-1269-1553 & Rabi, M. ORCID: 0000-0003-4446-6956 (2026). An intelligent predictive-inverse design framework for cellular steel beams with integrated robustness, sustainability metrics, and automated CAD generation. Advances in Engineering Software, 221, article number 104262. doi: 10.1016/j.advengsoft.2026.104262

Zonta, J. B., Sarfarazi, S., Ferreira, F. P. V. , Rossi, A., Rabi, M., Abarkan, I., Shamass, R. & Tsavdaridis, K. D. ORCID: 0000-0001-8349-3979 (2026). Particle Swarm-Optimized Neural Network Model for Lateral-Distortional Buckling of Novel Composite Perforated Beams. Steel and Composite Structures,

Abarkan, I., Rabi, M., Ferreira, F. P. V. , Shamass, R. & Tsavdaridis, K. ORCID: 0000-0001-8349-3979 (2026). Lateral-torsional buckling of HSS I-beams: design, parameter and reliability analysis. Proceedings of the Institution of Civil Engineers: Structures and Buildings, 179(5), pp. 522-541. doi: 10.1680/jstbu.25.00076

Sarfarazi, S., Shamass, R., Rabi, M. , Abarkan, I., Ferreira, F. P. V. & Tsavdaridis, K. ORCID: 0000-0001-8349-3979 (2026). Inverse Machine Learning for the Design of Perforated Beams: Parent Section and Material Prediction. Engineering Applications of Artificial Intelligence, 164(Part A), article number 113275. doi: 10.1016/j.engappai.2025.113275

Rabi, M., Jweihan, Y. S., Abarkan, I. , Ferreira, F. P. V., Shamass, R., Limbachiya, V., Tsavdaridis, K. D. ORCID: 0000-0001-8349-3979 & Pinho Santos, L. F. (2024). Machine learning-driven web-post buckling resistance prediction for high-strength steel beams with elliptically-based web openings. Results in Engineering, 21, article number 101749. doi: 10.1016/j.rineng.2024.101749

This list was generated on Sat Aug 22 23:44:08 2026 UTC.