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Author

Ikram Abarkan

Observed name: Abarkan, I.
Observed institution: Abdelmalek Essaâdi University
ORCID: 0000-0002-1269-1553
Observed ORCID: 0000-0002-1269-1553
OpenAlex ID: A5043570308
Prediction of the cross-sectional capacity of cold-formed CHS using numerical modelling and machine learning
2023 · Musab Rabi, Felipe Piana Vendramell Ferreira, et al. · Results in Engineering · 53
Machine learning-driven web-post buckling resistance prediction for high-strength steel beams with elliptically-based web openings
2024 · Musab Rabi, Yazeed S. Jweihan, et al. · Results in Engineering · 45
Machine learning for optimal design of circular hollow section stainless steel stub columns: A comparative analysis with Eurocode 3 predictions
2024 · Ikram Abarkan, Musab Rabi, et al. · Engineering Applications of Artificial Intelligence · 34
Experimental investigation into the behaviour of continuous concrete beams reinforced with basalt FRP
2022 · Rabee Shamass, Bouchra Mahi, et al. · Engineering Structures · 32
Buckling resistance of hot‐finished CHS beam‐columns using FE modelling and machine learning
2023 · Musab Rabi, Ikram Abarkan, et al. · Steel Construction · 28
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Automated design and optimization of concrete beams reinforced with stainless steel
2025 · Musab Rabi, Ikram Abarkan, et al. · Structural Concrete · 22
Inverse machine learning for the design of perforated beams: Parent section and material prediction
2025 · Sina Sarfarazi, Rabee Shamass, et al. · Engineering Applications of Artificial Intelligence · 21
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FRP RC beams by collected test data: Comparison with design standard, parameter sensitivity, and reliability analyses
2023 · Rabee Shamass, Ikram Abarkan, et al. · Engineering Structures · 16
Numerical and Analytical Studies of Low Cycle Fatigue Behavior of 316 LN Austenitic Stainless Steel
2020 · Ikram Abarkan, Rabee Shamass, et al. · Journal of Pressure Vessel Technology · 12
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An intelligent predictive-inverse design framework for cellular steel beams with integrated robustness, sustainability metrics, and automated CAD generation
2026 · Sina Sarfarazi, Felipe Piana Vendramell Ferreira, et al. · Advances in Engineering Software · 7
A Study on Low Cycle Fatigue Life Assessment of Notched Specimens Made of 316 LN Austenitic Stainless Steel
2021 · Ikram Abarkan, Abdellatif Khamlichi, et al. · Journal of Pressure Vessel Technology · 7
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CSM proposal for predicting buckling resistance of stainless steel CHS beam-columns
2025 · Musab Rabi, Ikram Abarkan, et al. · Journal of Constructional Steel Research · 5
Lateral–torsional buckling of high-strength steel I-beams: design, parameter and reliability analysis
2026 · Ikram Abarkan, Musab Rabi, et al. · Proceedings of the Institution of Civil Engineers - Structures and Buildings · 4
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A Numerical Analysis on the Cyclic Behavior of 316 FR Stainless Steel and Fatigue Life Prediction
2021 · Ikram Abarkan, Abdellatif Khamlichi, et al. · International Electronic Conference on Applied Sciences (ASEC) · 3
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Isothermal and Thermo-Mechanical Fatigue Life Prediction Using the Total Strain Energy Density-Based Approach
2023 · Ikram Abarkan · International Electronic Conference on Applied Sciences (ASEC) · 1
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Low cycle fatigue behavior of circumferentially notched specimens made of modified 9Cr–1Mo steel at elevated temperature
2021 · Ikram Abarkan, Abdellatif Khamlichi, et al. · International Review of Applied Sciences and Engineering · 1
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Numerical modeling of the low cycle fatigue: effect of manufacturing imperfections caused by machining process
2021 · Ikram Abarkan, Abdellatif Khamlichi, et al. · MATEC Web of Conferences · 1
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Particle Swarm-Optimized Neural Network Model for Lateral-Distortional Buckling of Novel Composite Perforated Beams
2026 · Zonta, J. B., Sarfarazi, S., et al. · City Research Online (City University London)
Buckling prediction of stainless steel circular hollow sections beam–columns using finite element analysis and machine learning
2026 · Ikram Abarkan, Sina Sarfarazi, et al. · ENGINEERING Structure and Civil Engineering
Web-post buckling resistance prediction models of stainless-steel cellular beams using machine learning algorithms
2026 · Imane Bachguar, Ouadia Mouhat, et al. · Advances in Science and Technology – Research Journal
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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
2021 · Ikram Abarkan, Abdellatif Khamlichi, et al. · International Electronic Conference on Metallurgy and Metals (ECMM)
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Works count: 21
Citation count: 292
H-index: 9
I10-index: 9
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