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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. Akbari, Mahmood / Kabir, H. M. Dipu / Khosravi, Abbas / Nasirzadeh, Farnad (2022): ANN-Based LUBE Model for Interval Prediction of Compressive Strength of Concrete. Dans: Iranian Journal of Science and Technology, Transactions of Civil Engineering, v. 46, n. 2 (février 2022).

    https://doi.org/10.1007/s40996-021-00684-x

  2. Nasirzadeh, Farnad / Kabir, H. M. Dipu / Akbari, Mahmood / Khosravi, Abbas / Nahavandi, Saeid / Carmichael, David G. (2020): ANN-based prediction intervals to forecast labour productivity. Dans: Engineering, Construction and Architectural Management, v. 27, n. 9 ( 2020).

    https://doi.org/10.1108/ecam-08-2019-0406

  3. Mohseni Movahed, Seyed Asadollah / Mozaffari, Javad / Davoodmaghami, Davood / Akbari, Mahmood: A Semi-Analytical Equation to Estimate Hydraulic Jump Length. Dans: Periodica Polytechnica Civil Engineering.

    https://doi.org/10.3311/ppci.11257

  4. Bidabadi, Mehran Shirani / Akbari, Mahmood / Panahi, Omid (2020): Optimum mix design of recycled concrete based on the fresh and hardened properties of concrete. Dans: Journal of Building Engineering, v. 32 (novembre 2020).

    https://doi.org/10.1016/j.jobe.2020.101483

  5. Bahrami, Nasrollah / Zohrabi, Mehdi / Mahmoudy, Seyed Ali / Akbari, Mahmood (2020): Optimum recycled concrete aggregate and micro-silica content in self-compacting concrete: Rheological, mechanical and microstructural properties. Dans: Journal of Building Engineering, v. 31 (septembre 2020).

    https://doi.org/10.1016/j.jobe.2020.101361

  6. Akbari, Mahmood / Jafari Deligani, Vahid (2020): Data driven models for compressive strength prediction of concrete at high temperatures. Dans: Frontiers of Structural and Civil Engineering, v. 14, n. 2 (mars 2020).

    https://doi.org/10.1007/s11709-019-0593-8

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