A combined data-driven, experimental and modelling approach for assessing the optimal composition of impregnation products for cementitious materials

  1. Perko, J.
  2. Laloy, E.
  3. Zarzuela, R.
  4. Couckuyt, I.
  5. Navarro, R.G.
  6. Mosquera, M.J.
Revue:
Cement and Concrete Composites

ISSN: 0958-9465

Année de publication: 2023

Volumen: 136

Type: Article

DOI: 10.1016/J.CEMCONCOMP.2022.104903 GOOGLE SCHOLAR lock_openAccès ouvert editor
La source de données: Scopus