0
  • DE
  • EN
  • FR
  • International Database and Gallery of Structures

Advertisement

Benoit Hilloulin 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. Hilloulin, Benoit / Hafidi, Abdelhamid / Boudache, Sonia / Loukili, Ahmed (2023): Interpretable ensemble machine learning for the prediction of the expansion of cementitious materials under external sulfate attack. In: Journal of Building Engineering, v. 80 (December 2023).

    https://doi.org/10.1016/j.jobe.2023.107951

  2. Hilloulin, Benoit / Youssef Namnoum, Carol / Grondin, Frédéric / Loukili, Ahmed (2023): Coupled effects of simultaneous autogenous self-healing and sustained flexural loading in cementitious materials. In: Journal of Building Engineering, v. 79 (November 2023).

    https://doi.org/10.1016/j.jobe.2023.107895

  3. Hilloulin, Benoit / Tran, Van Quan (2023): Interpretable machine learning model for autogenous shrinkage prediction of low-carbon cementitious materials. In: Construction and Building Materials, v. 396 (September 2023).

    https://doi.org/10.1016/j.conbuildmat.2023.132343

  4. El-Khoury, Marinelle / Grondin, Frédéric / Hilloulin, Benoit / Roziere, Emmanuel / Cortas, Rachid / Chehade, Fadi Hage (2023): Creep analysis of cementitious materials in seawater using a poro-chemo-mechanical model. In: Marine Structures, v. 90 (July 2023).

    https://doi.org/10.1016/j.marstruc.2023.103431

  5. Qu, Shilin / Hilloulin, Benoit / Saliba, Jacqueline / Sbartaï, Mehdi / Abraham, Odile / Tournat, Vincent (2023): Imaging concrete cracks using Nonlinear Coda Wave Interferometry (INCWI). In: Construction and Building Materials, v. 391 (August 2023).

    https://doi.org/10.1016/j.conbuildmat.2023.131772

  6. Hilloulin, Benoit / Hilloulin, Damien / Grondin, Frédéric / Loukili, Ahmed / De Belie, Nele (2016): Mechanical regains due to self-healing in cementitious materials: Experimental measurements and micro-mechanical model. In: Cement and Concrete Research, v. 80 (February 2016).

    https://doi.org/10.1016/j.cemconres.2015.11.005

  7. Hilloulin, Benoit / Bekrine, Imane / Schmitt, Emmanuel / Loukili, Ahmed (2022): Modular deep learning segmentation algorithm for concrete microscopic images. In: Construction and Building Materials, v. 349 (September 2022).

    https://doi.org/10.1016/j.conbuildmat.2022.128736

  8. Hilloulin, Benoit / Tran, Van Quan (2022): Using machine learning techniques for predicting autogenous shrinkage of concrete incorporating superabsorbent polymers and supplementary cementitious materials. In: Journal of Building Engineering, v. 49 (May 2022).

    https://doi.org/10.1016/j.jobe.2022.104086

  9. Youssef Namnoum, Carol / Hilloulin, Benoit / Grondin, Frédéric / Loukili, Ahmed (2021): Determination of the origin of the strength regain after self-healing of binary and ternary cementitious materials including slag and metakaolin. In: Journal of Building Engineering, v. 41 (September 2021).

    https://doi.org/10.1016/j.jobe.2021.102739

  10. Tran, Van Quan / Nguyen, Hoang Long / Dao, Van Dong / Hilloulin, Benoit / Nguyen, Long Khanh / Nguyen, Quang Hung / Le, Tien-Thinh / Ly, Hai-Bang (2021): Temperature effects on chloride binding capacity of cementitious materials. In: Magazine of Concrete Research, v. 73, n. 15 (August 2021).

    https://doi.org/10.1680/jmacr.19.00484

  11. Hilloulin, Benoit / Legland, Jean-Baptiste / Lys, Elisabeth / Abraham, Odile / Loukili, Ahmed / Grondin, Frédéric / Durand, Olivier / Tournat, Vincent (2016): Monitoring of autogenous crack healing in cementitious materials by the nonlinear modulation of ultrasonic coda waves, 3D microscopy and X-ray microtomography. In: Construction and Building Materials, v. 123 (October 2016).

    https://doi.org/10.1016/j.conbuildmat.2016.06.138

Search for a publication...

Only available with
My Structurae

Full text
Structurae cooperates with
International Association for Bridge and Structural Engineering (IABSE)
e-mosty Magazine
e-BrIM Magazine