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R. D. López-Carreño

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. Wu, Yinglong / Pieralisi, R. / B. Sandoval, F. Gersson / López-Carreño, R. D. / Pujadas, P. (2024): Optimizing pervious concrete with machine learning: Predicting permeability and compressive strength using artificial neural networks. In: Construction and Building Materials, v. 443 (September 2024).

    https://doi.org/10.1016/j.conbuildmat.2024.137619

  2. López-Carreño, R. D. / Ikumi, T. / de la Fuente, A. / Galeote, E. / Pujadas, P. (2024): Neural network - Game theory coupled approach for predicting flexural performance of fibre-reinforced concrete. In: Journal of Building Engineering, v. 86 (June 2024).

    https://doi.org/10.1016/j.jobe.2024.108909

  3. Ikumi, T. / Galeote, E. / Pujadas, P. / de la Fuente, A. / López-Carreño, R. D. (2021): Neural network-aided prediction of post-cracking tensile strength of fibre-reinforced concrete. In: Computers & Structures, v. 256 (November 2021).

    https://doi.org/10.1016/j.compstruc.2021.106640

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