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Mohammad Sadegh Barkhordari ORCID

The following bibliography contains all publications indexed in this database that are linked with this name as either author, editor or any other kind of contributor.

  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. In: Periodica Polytechnica Civil Engineering, v. 68, n. 4 (July 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. In: International Journal of Concrete Structures and Materials, v. 16, n. 1 (December 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. In: 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. In: Advances in Structural Engineering, v. 26, n. 9 (May 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. In: Practice Periodical on Structural Design and Construction, v. 28, n. 1 (February 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. In: Construction and Building Materials, v. 359 (December 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. In: 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. In: Journal of Structural Engineering (ASCE), v. 148, n. 4 (April 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. In: Buildings, v. 12, n. 2 (18 January 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. In: Structures, v. 34 (December 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. In: Magazine of Concrete Research, v. 73, n. 19 (October 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. In: Civil Engineering Journal, v. 4, n. 9 (September 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. In: International Journal of Civil Engineering, v. 16, n. 9 (July 2018).

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

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