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Ghassan Almasabha ORCID

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

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

    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. In: Structures, v. 61 (März 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. In: Structural Concrete, v. 25, n. 1 (Januar 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. In: Structures, v. 57 (November 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. In: Structures, v. 55 (September 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. In: Journal of Structural Engineering (ASCE), v. 149, n. 9 (September 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. In: Construction Innovation, v. 24, n. 5 (Juni 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. In: Structures, v. 52 (Juni 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. In: 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. In: ACI Structural Journal, v. 120, n. 1 (Januar 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. In: Buildings, v. 12, n. 8 (31 Juli 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. In: Buildings, v. 12, n. 8 (31 Juli 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. In: 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. In: Journal of Structural Engineering (ASCE), v. 148, n. 8 (August 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. In: Journal of Composites for Construction, v. 26, n. 3 (Juni 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. In: Structures, v. 37 (März 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. In: Structures, v. 38 (April 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. In: Structures, v. 32 (August 2021).

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

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