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Mohammad Sadegh Barkhordari 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. Barkhordari, Mohammad Sadegh / Ghavaminejad, Sobhan / Tehranizadeh, Mohsen (2024): Predicting Autogenous Shrinkage of Concrete Including Superabsorbent Polymers and Other Cementitious Ingredients Using Convolution-based Algorithms. Dans: Periodica Polytechnica Civil Engineering, v. 68, n. 4 (juillet 2024).

    https://doi.org/10.3311/ppci.23568

  2. Barkhordari, Mohammad Sadegh / Massone, Leonardo M. (2022): Failure Mode Detection of Reinforced Concrete Shear Walls Using Ensemble Deep Neural Networks. Dans: International Journal of Concrete Structures and Materials, v. 16, n. 1 (décembre 2022).

    https://doi.org/10.1186/s40069-022-00522-y

  3. Barkhordari, Mohammad Sadegh / Tehranizadeh, Mohsen: Data-driven Dynamic-classifiers-based Seismic Failure Mode Detection of Deep Steel W-shape Columns. Dans: Periodica Polytechnica Civil Engineering.

    https://doi.org/10.3311/ppci.21427

  4. Barkhordari, Mohammad Sadegh / Jawdhari, Akram (2023): Machine learning based prediction model for plastic hinge length calculation of reinforced concrete structural walls. Dans: Advances in Structural Engineering, v. 26, n. 9 (mai 2023).

    https://doi.org/10.1177/13694332231174252

  5. Barkhordari, Mohammad Sadegh / Billah, A. H. M. Muntasir (2023): Efficiency of Data-Driven Hybrid Algorithms for Steel-Column Base Connection Failure Mode Detection. Dans: Practice Periodical on Structural Design and Construction, v. 28, n. 1 (février 2023).

    https://doi.org/10.1061/(asce)sc.1943-5576.0000741

  6. Cavaleri, Liborio / Barkhordari, Mohammad Sadegh / Repapis, Constantinos C. / Armaghani, Danial Jahed / Ulrikh, Dmitrii Vladimirovich / Asteris, Panagiotis G. (2022): Convolution-based ensemble learning algorithms to estimate the bond strength of the corroded reinforced concrete. Dans: Construction and Building Materials, v. 359 (décembre 2022).

    https://doi.org/10.1016/j.conbuildmat.2022.129504

  7. Barkhordari, Mohammad Sadegh / Feng, De-Cheng / Tehranizadeh, Mohsen (2022): Efficiency of Hybrid Algorithms for Estimating the Shear Strength of Deep Reinforced Concrete Beams. Dans: Periodica Polytechnica Civil Engineering, v. 66, n. 2 ( 2022).

    https://doi.org/10.3311/ppci.19323

  8. Es-haghi, Mohammad Sadegh / Barkhordari, Mohammad Sadegh / Huang, Zhenyu / Ye, Jianqiao (2022): Multicriteria Decision-Making Methods in Selecting Seismic Upgrading Strategy of High-Rise RC Wall Buildings. Dans: Journal of Structural Engineering (ASCE), v. 148, n. 4 (avril 2022).

    https://doi.org/10.1061/(asce)st.1943-541x.0003304

  9. Barkhordari, Mohammad Sadegh / Armaghani, Danial Jahed / Mohammed, Ahmed Salih / Ulrikh, Dmitrii Vladimirovich (2022): Data-Driven Compressive Strength Prediction of Fly Ash Concrete Using Ensemble Learner Algorithms. Dans: Buildings, v. 12, n. 2 (18 janvier 2022).

    https://doi.org/10.3390/buildings12020132

  10. Barkhordari, Mohammad Sadegh / Tehranizadeh, Mohsen (2021): Response estimation of reinforced concrete shear walls using artificial neural network and simulated annealing algorithm. Dans: Structures, v. 34 (décembre 2021).

    https://doi.org/10.1016/j.istruc.2021.08.053

  11. Barkhordari, Mohammad Sadegh / Tehranizadeh, Mohsen / Scott, Michael H. (2021): Numerical modeling strategy for predicting the response of RC walls using Timoshenko theory. Dans: Magazine of Concrete Research, v. 73, n. 19 (octobre 2021).

    https://doi.org/10.1680/jmacr.19.00542

  12. Barkhordari, Mohammad Sadegh / Tehranizadeh, Mohsen (2018): The Effect of Soil around the Basement Walls on the Base Level of Braced Framed Tube System. Dans: Civil Engineering Journal, v. 4, n. 9 (septembre 2018).

    https://doi.org/10.28991/cej-03091139

  13. Tehranizadeh, Mohsen / Barkhordari, Mohammad Sadegh (2018): Effect of Peripheral Wall Openings in Basement and Number of Basement Floors on the Base level of Braced Framed Tube System. Dans: International Journal of Civil Engineering, v. 16, n. 9 (juillet 2018).

    https://doi.org/10.1007/s40999-017-0270-z

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