| Prediction of the cross-sectional capacity of cold-formed CHS using numerical modelling and machine learning M Rabi, FPV Ferreira, I Abarkan, V Limbachiya, R Shamass Results in Engineering 17, 100902, 2023 | 28 | 2023 |
| Experimental investigation into the behaviour of continuous concrete beams reinforced with basalt FRP R Shamass, B Mahi, KA Cashell, I Abarkan, F El-Khannoussi Engineering Structures 255, 113888, 2022 | 14 | 2022 |
| Buckling resistance of hot‐finished CHS beam‐columns using FE modelling and machine learning M Rabi, I Abarkan, R Shamass Steel Construction 17 (2), 93-103, 2024 | 13 | 2024 |
| Machine learning-driven web-post buckling resistance prediction for high-strength steel beams with elliptically-based web openings M Rabi, YS Jweihan, I Abarkan, FPV Ferreira, R Shamass, V Limbachiya, ... Results in Engineering 21, 101749, 2024 | 12 | 2024 |
| Machine learning for optimal design of circular hollow section stainless steel stub columns: A comparative analysis with Eurocode 3 predictions I Abarkan, M Rabi, FPV Ferreira, R Shamass, V Limbachiya, YS Jweihan, ... Engineering Applications of Artificial Intelligence 132, 107952, 2024 | 11 | 2024 |
| Numerical and analytical studies of low cycle fatigue behavior of 316 LN austenitic stainless steel I Abarkan, R Shamass, Z Achegaf, A Khamlichi Journal of Pressure Vessel Technology 144 (6), 061507, 2022 | 11 | 2022 |
| A study on low cycle fatigue life assessment of notched specimens made of 316 LN austenitic stainless steel I Abarkan, A Khamlichi, R Shamass Journal of Pressure Vessel Technology 144 (2), 021503, 2022 | 8 | 2022 |
| FRP RC beams by collected test data: Comparison with design standard, parameter sensitivity, and reliability analyses R Shamass, I Abarkan, FPV Ferreira Engineering Structures 297, 116933, 2023 | 7 | 2023 |
| A Numerical Analysis on the Cyclic Behavior of 316 FR Stainless Steel and Fatigue Life Prediction I Abarkan, A Khamlichi, R Shamass Engineering Proceedings 11 (1), 28, 2021 | 3 | 2021 |
| Isothermal and Thermo-Mechanical Fatigue Life Prediction Using the Total Strain Energy Density-Based Approach I Abarkan Engineering Proceedings 56 (1), 52, 2023 | 1 | 2023 |
| Low cycle fatigue behavior of circumferentially notched specimens made of modified 9Cr–1Mo steel at elevated temperature I Abarkan, A Khamlichi, R Shamass International Review of Applied Sciences and Engineering 13 (1), 54-62, 2021 | 1 | 2021 |
| Numerical modeling of the low cycle fatigue: effect of manufacturing imperfections caused by machining process I Abarkan, A Khamlichi, R Shamass MATEC Web of Conferences 349, 02011, 2021 | 1 | 2021 |
| Numerical and Analytical Analysis of the Low Cycle Fatigue Behavior of Notched and Un-Notched 316 L (N) Austenitic Stainless-Steel Samples at Ambient and Elevated Temperatures I Abarkan, A Khamlichi, R Shamass Materials Proceedings 3 (1), 25, 2021 | | 2021 |
| A Numerical Analysis on the Cyclic Behavior of 316 FR Stainless Steel and Fatigue Life Prediction. Eng. Proc. 2021, 11, 28 I Abarkan, A Khamlichi, R Shamass s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2021 | | 2021 |
| The 1st International Electronic Conference on Metallurgy and Metals I Abarkan, A Khamlichi, R Shamass | | |
