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Mohamed El Amine Ben Seghier ORCID

Die folgende Bibliografie enthält alle in dieser Datenbank indizierten Veröffentlichungen, die mit diesem Namen als Autor, Herausgeber oder anderweitig Beitragenden verbunden sind.

  1. Alfouneh, Mahmoud / Ben Seghier, Mohamed El Amine / Keshtegar, Behrooz / Tabatabaie Shojah, Syed Abolfazl (2024): A new formulation for predicting the ultimate capacities of FRP-confined concrete using advanced machine learning framework: Developed structural reliability analysis. In: Structures, v. 68 (Oktober 2024).

    https://doi.org/10.1016/j.istruc.2024.107158

  2. Ben Seghier, Mohamed El Amine / Elshaboury, Nehal / Mohammed Abdelkader, Eslam / Carvalho, Hermes / Correa de Faria, Caroline / Miguel, Leandro Fadel (2024): Two-stage framework for lateral-torsional buckling resistance prediction of cellular steel beams under fire conditions. In: Structures, v. 68 (Oktober 2024).

    https://doi.org/10.1016/j.istruc.2024.107157

  3. Ben Seghier, Mohamed El Amine / Mohamed, Osama Ahmed / Ouaer, Hocine (2024): Machine learning-based Shapley additive explanations approach for corroded pipeline failure mode identification. In: Structures, v. 65 (Juli 2024).

    https://doi.org/10.1016/j.istruc.2024.106653

  4. Ben Seghier, Mohamed El Amine / Plevris, Vagelis (2023): Application of machine learning approaches for modelling crack growth rates. In: ce/papers, v. 6, n. 3-4 (September 2023).

    https://doi.org/10.1002/cepa.2639

  5. Jafari‐Asl, Jafar / Ben Seghier, Mohamed El Amine / Panagiotis, Spyridis / Strauss, Alfred (2023): Assessment of artificial intelligence‐ based techniques for the estimation of pile group scour depth. In: ce/papers, v. 6, n. 5 (September 2023).

    https://doi.org/10.1002/cepa.2037

  6. Taiwo, Ridwan / Ben Seghier, Mohamed El Amine / Zayed, Tarek (2023): Predicting Wall Thickness Loss in Water Pipes Using Machine Learning Techniques. In: ce/papers, v. 6, n. 5 (September 2023).

    https://doi.org/10.1002/cepa.2075

  7. Elshaboury, Nehal / Ben Seghier, Mohamed El Amine / Mohammed Abdelkader, Eslam / Zayed, Tarek (2023): Scrutinizing the Performances of Hybrid ANN Models for Forecasting Condition of Bridges. In: ce/papers, v. 6, n. 5 (September 2023).

    https://doi.org/10.1002/cepa.2005

  8. Mohammed Abdelkader, Eslam / Ben Seghier, Mohamed El Amine / Elshaboury, Nehal / Zayed, Tarek (2023): A Novel Chaotic Optimization‐Oriented Model for Bridge Maintenance and Rehabilitation Planning. In: ce/papers, v. 6, n. 5 (September 2023).

    https://doi.org/10.1002/cepa.2006

  9. Ben Seghier, Mohamed El Amine / Golafshani, Emadaldin Mohammadi / Jafari‐Asl, Jafar / Arashpour, Mehrdad (2023): Metaheuristic‐based machine learning modeling of the compressive strength of concrete containing waste glass. In: Structural Concrete, v. 24, n. 4 (5 Juli 2023).

    https://doi.org/10.1002/suco.202200260

  10. Salina Farini Bahaman, Ummi / Mustaffa, Zahiraniza / Ben Seghier, Mohamed El Amine / Neesa Idris, Nurul (2022): Integrity of API 5L X56 Offshore Pipeline Subjected to Girth Weld Anomalies and Corrosion Using Probabilistic Methods. In: Journal of Performance of Constructed Facilities (ASCE), v. 36, n. 5 (Oktober 2022).

    https://doi.org/10.1061/(asce)cf.1943-5509.0001750

  11. Ben Seghier, Mohamed El Amine / Plevris, Vagelis / Solorzano, German (2022): Random forest-based algorithms for accurate evaluation of ultimate bending capacity of steel tubes. In: Structures, v. 44 (Oktober 2022).

    https://doi.org/10.1016/j.istruc.2022.08.007

  12. Guillal, Abdelkader / Abdelbaki, Nourdine / Ben Seghier, Mohamed El Amine / Correia, José A. F. O. / de Jesús, Abílio / Zhu, Shun-Peng (2019): Sensitivity of reliability-based fatigue analysis to crack shape development in cracked pipeline. In: Procedia Structural Integrity, v. 22 ( 2019).

    https://doi.org/10.1016/j.prostr.2020.01.026

  13. Jafari-Asl, Jafar / Ohadi, Sima / Ben Seghier, Mohamed El Amine / Trung, Nguyen-Thoi (2021): Accurate Structural Reliability Analysis Using an Improved Line-Sampling-Method-Based Slime Mold Algorithm. In: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, v. 7, n. 2 (Juni 2021).

    https://doi.org/10.1061/ajrua6.0001129

  14. Ben Seghier, Mohamed El Amine / Gao, Xiao-Zhi / Jafari-Asl, Jafar / Thai, Duc-Kien / Ohadi, Sima / Trung, Nguyen-Thoi (2021): Modeling the nonlinear behavior of ACC for SCFST columns using experimental-data and a novel evolutionary-algorithm. In: Structures, v. 30 (April 2021).

    https://doi.org/10.1016/j.istruc.2021.01.036

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