1. Brunel University Research Archive

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Issue DateTitleAuthor(s)
7-Jan-2024Machine learning-driven web-post buckling resistance prediction for high-strength steel beams with elliptically-based web openingsRabi, M; Jweihan, YS; Abarkan, I; Ferreira, FPV; Shamass, R; Limbachiya, V; Tsavdaridis, KD; Pinho Santos, LF
24-Jul-2023Buckling resistance of hot‐finished CHS beam‐columns using FE modelling and machine learningRabi, M; Abarkan, I; Shamass, R
19-Sep-2022Numerical and Analytical Studies of Low Cycle Fatigue Behavior of 316 LN Austenitic Stainless SteelAbarkan, I; Shamass, R; Achegaf, Z; Khamlichi, A
18-Aug-2021A Study on Low Cycle Fatigue Life Assessment of Notched Specimens Made of 316 LN Austenitic Stainless SteelAbarkan, I; Khamlichi, A; Shamass, R
3-Oct-2023FRP RC beams by collected test data: Comparison with design standard, parameter sensitivity, and reliability analysesShamass, R; Abarkan, I; Ferreira, FPV
19-Jan-2023Prediction of the cross-sectional capacity of cold-formed CHS using numerical modelling and machine learningRabi, M; Ferreira, FPV; Abarkan, I; Limbachiya, V; Shamass, R
15-Feb-2024Machine learning for optimal design of circular hollow section stainless steel stub columns: A comparative analysis with Eurocode 3 predictionsAbarkan, I; Rabi, M; Vendramell Ferreira, FP; Shamass, R; Limbachiya, V; Jweihan, YS; Pinho Santos, LF
29-Jan-2022Experimental investigation into the behaviour of continuous concrete beams reinforced with basalt FRPShamass, R; Mahi, B; Cashell, KA; Abarkan, I; El-Khannoussi, F

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