City Research Online

Items where Author is "Shamass, R."

Up a level
Group by: Type | No Grouping
Jump to: Article | Other
Number of items: 7.

Article

Ferreira, F. P. V., Jeong, S-H., Mansouri, E. , Shamass, R., Tsavdaridis, K. D. ORCID: 0000-0001-8349-3979, Martins, C. H. & De Nardin, S. (2024). Five Machine Learning Models Predicting the Global Shear Capacity of Composite Cellular Beams with Hollow-Core Units. Buildings, 14(7), article number 2256. doi: 10.3390/buildings14072256

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

Ferreira, F. P. V., Shamass, R., Santos, L. F. P. , Tsavdaridis, K. D. ORCID: 0000-0001-8349-3979 & Limbachiya, V. (2023). Web-Post Buckling Prediction Resistance for Perforated High-Strength Steel Beams with Elliptically-Based Web Openings. Structures, 55, pp. 245-262. doi: 10.1016/j.istruc.2023.05.139

Shamass, R., Ferreira, F. P. V., Limbachiya, V. , Santos, L. F. P. & Tsavdaridis, K. D. ORCID: 0000-0001-8349-3979 (2022). Web-Post Buckling Prediction Resistance of Steel Beams with Elliptically-Based Web Openings using Artificial Neural Networks (ANN). Thin Walled Structures, 180, article number 109959. doi: 10.1016/j.tws.2022.109959

Ferreira, F. P. V., Shamass, R., Santos, L. F. P. , Limbachiya, V. & Tsavdaridis, K. D. ORCID: 0000-0001-8349-3979 (2022). EC3 design of web-post buckling resistance for perforated steel beams with elliptically-based web openings. Thin-Walled Structures, 175, article number 109196. doi: 10.1016/j.tws.2022.109196

Vendramell Ferreira, F. P., Shamass, R., Limbachiya, V. , Tsavdaridis, K. D. ORCID: 0000-0001-8349-3979 & Martins, C. H. (2022). Lateral-torsional buckling resistance prediction model for steel cellular beams generated by Artificial Neural Networks (ANN). Thin-Walled Structures, 170, article number 108592. doi: 10.1016/j.tws.2021.108592

Other

Ferreira, F. P. V., Jeong, S. H., Mansouri, E. , Shamass, R., Tsavdaridis, K. ORCID: 0000-0001-8349-3979, Martins, C. H. & De Nardin, S. Five Machine Learning Models Predicting the Global Shear Capaicty of Composite Cellular Beams with Hillow-Core Units.

This list was generated on Wed Dec 25 02:46:49 2024 UTC.