0
  • DE
  • EN
  • FR
  • Base de données et galerie internationale d'ouvrages d'art et du génie civil

Publicité

Ghassan Almasabha ORCID

La bibliographie suivante contient toutes les publications répertoriées dans la base de données qui sont reliées à ce nom en tant qu'auteur, éditeur ou collaborateur.

  1. Alcocer, Sergio M. / Almasabha, Ghassan / Carrillo, Julian / Chao, Shih-Ho / Lubell, Adam S. (2025): Shear Strength of Steel Fiber-Reinforced Concrete Beams and One-Way Slabs. Dans: ACI Structural Journal, v. 122, n. 1 ( 2025).

    https://doi.org/10.14359/51742138

  2. Alshboul, Odey / Almasabha, Ghassan / Shehadeh, Ali / Al-Shboul, Khaled (2024): A comparative study of LightGBM, XGBoost, and GEP models in shear strength management of SFRC-SBWS. Dans: Structures, v. 61 (mars 2024).

    https://doi.org/10.1016/j.istruc.2024.106009

  3. Saleh, Eman / Murad, Yasmin / Tarawneh, Ahmad / Alghossoon, Abdullah / Almasabha, Ghassan (2024): Automated analysis and design for recycled aggregate reinforced concrete beams. Dans: Structural Concrete, v. 25, n. 1 (janvier 2024).

    https://doi.org/10.1002/suco.202300354

  4. Tarawneh, Ahmad / Almasabha, Ghassan / Saleh, Eman / Alghossoon, Abdullah / Alajarmeh, Omar (2023): Data-driven machine learning methodology for designing slender FRP-RC columns. Dans: Structures, v. 57 (novembre 2023).

    https://doi.org/10.1016/j.istruc.2023.105207

  5. Alshboul, Odey / Almasabha, Ghassan / Al-Shboul, Khaled F. / Shehadeh, Ali (2023): A comparative study of shear strength prediction models for SFRC deep beams without stirrups using Machine learning algorithms. Dans: Structures, v. 55 (septembre 2023).

    https://doi.org/10.1016/j.istruc.2023.06.026

  6. Chao, Shih-Ho / Almasabha, Ghassan / Price, Brandon / Jiansinlapadamrong, Chatchai (2023): A Horizontal Stiffener Detailing for Shear Links at the Link-to-Column Connection in Eccentrically Braced Frames. Dans: Journal of Structural Engineering (ASCE), v. 149, n. 9 (septembre 2023).

    https://doi.org/10.1061/jsendh.steng-12090

  7. Almasabha, Ghassan / Shehadeh, Ali / Alshboul, Odey / Al Hattamleh, Omar (2023): Structural performance of buried reinforced concrete pipelines under deep embankment soil. Dans: Construction Innovation, v. 24, n. 5 (juin 2023).

    https://doi.org/10.1108/ci-10-2021-0196

  8. Almasabha, Ghassan / Al-Shboul, Khaled F. / Shehadeh, Ali / Alshboul, Odey (2023): Machine learning-based models for predicting the shear strength of synthetic fiber reinforced concrete beams without stirrups. Dans: Structures, v. 52 (juin 2023).

    https://doi.org/10.1016/j.istruc.2023.03.170

  9. Alghossoon, Abdullah / Tarawneh, Ahmad / Almasabha, Ghassan / Murad, Yasmin / Saleh, Eman / yahia, Hamza Abu / yahya, Abdallah Abu / Sahawneh, Haitham (2023): Shear strength of circular concrete-filled tube (CCFT) members using human-guided artificial intelligence approach. Dans: Engineering Structures, v. 282 (mai 2023).

    https://doi.org/10.1016/j.engstruct.2023.115820

  10. Almasabha, Ghassan / Chao, Shih-Ho (2023): New Reinforcement Configuration for Achieving High-Ductility and High-Strength Rectangular Squat Structural Walls. Dans: ACI Structural Journal, v. 120, n. 1 (janvier 2023).

    https://doi.org/10.14359/51737144

  11. Alshboul, Odey / Shehadeh, Ali / Almasabha, Ghassan / Al Mamlook, Rabia Emhamed / Almuflih, Ali Saeed (2022): Evaluating the Impact of External Support on Green Building Construction Cost: A Hybrid Mathematical and Machine Learning Prediction Approach. Dans: Buildings, v. 12, n. 8 (31 juillet 2022).

    https://doi.org/10.3390/buildings12081256

  12. Alshboul, Odey / Almasabha, Ghassan / Shehadeh, Ali / Al Mamlook, Rabia Emhamed / Almuflih, Ali Saeed / Almakayeel, Naif (2022): Machine Learning-Based Model for Predicting the Shear Strength of Slender Reinforced Concrete Beams without Stirrups. Dans: Buildings, v. 12, n. 8 (31 juillet 2022).

    https://doi.org/10.3390/buildings12081166

  13. Saleh, Eman / Tarawneh, Ahmad / Naser, M. Z. / Abedi, M. / Almasabha, Ghassan (2022): You only design once (YODO): Gaussian Process-Batch Bayesian optimization framework for mixture design of ultra high performance concrete. Dans: Construction and Building Materials, v. 330 (mai 2022).

    https://doi.org/10.1016/j.conbuildmat.2022.127270

  14. Tarawneh, Ahmad / Almasabha, Ghassan / Murad, Yasmin (2022): ColumnsNet: Neural Network Model for Constructing Interaction Diagrams and Slenderness Limit for FRP-RC Columns. Dans: Journal of Structural Engineering (ASCE), v. 148, n. 8 (août 2022).

    https://doi.org/10.1061/(asce)st.1943-541x.0003389

  15. Almasabha, Ghassan / Tarawneh, Ahmad / Saleh, Eman / Alajarmeh, Omar (2022): Data-Driven Flexural Stiffness Model of FRP-Reinforced Concrete Slender Columns. Dans: Journal of Composites for Construction, v. 26, n. 3 (juin 2022).

    https://doi.org/10.1061/(asce)cc.1943-5614.0001218

  16. Almasabha, Ghassan (2022): Gene expression model to estimate the overstrength ratio of short links. Dans: Structures, v. 37 (mars 2022).

    https://doi.org/10.1016/j.istruc.2022.01.030

  17. Saleh, Eman / Tarawneh, Ahmad / Almasabha, Ghassan / Momani, Yazan (2022): Slenderness limit of FRP-confined rectangular concrete columns. Dans: Structures, v. 38 (avril 2022).

    https://doi.org/10.1016/j.istruc.2022.02.030

  18. Tarawneh, Ahmad / Almasabha, Ghassan / Alawadi, Roaa / Tarawneh, Mohammad (2021): Innovative and reliable model for shear strength of steel fibers reinforced concrete beams. Dans: Structures, v. 32 (août 2021).

    https://doi.org/10.1016/j.istruc.2021.03.081

Rechercher une publication...

Disponible seulement avec
Mon Structurae

Texte intégral
Structurae coopère avec
International Association for Bridge and Structural Engineering (IABSE)
e-mosty Magazine
e-BrIM Magazine