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Mahmood Akbari 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. Akbari, Mahmood / Kabir, H. M. Dipu / Khosravi, Abbas / Nasirzadeh, Farnad (2022): ANN-Based LUBE Model for Interval Prediction of Compressive Strength of Concrete. In: Iranian Journal of Science and Technology, Transactions of Civil Engineering, v. 46, n. 2 (February 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. In: 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. In: 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. In: Journal of Building Engineering, v. 32 (November 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. In: Journal of Building Engineering, v. 31 (September 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. In: Frontiers of Structural and Civil Engineering, v. 14, n. 2 (March 2020).

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

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