Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Mamoune Sidi Mohamed Aissa"'
Autor:
Benamar Souheyla, Kameche Zine El Abidine, Mamoune Sidi Mohamed Aissa, Siad Hocine, Houmadi Youcef
Publikováno v:
Modelling in Civil Environmental Engineering, Vol 18, Iss 2, Pp 35-55 (2023)
This research uses Artificial Neural Network (ANN) as a soft computing technique to predict the carbonation depth and service life of cementitious materials with low clinker content. For this purpose, different mortars were prepared with 0, 10, 15, 2
Externí odkaz:
https://doaj.org/article/6ccbf21406e54f14a689ebe5c5894bed
Autor:
Mezaouri, Sarra, Kameche, Zine El-Abidine, Mamoune, Sidi Mohamed Aissa, Siad, Hocine, Houmadi, Youcef, Lachemi, Mohamed
Publikováno v:
Proceedings of the Institution of Civil Engineers: Waste & Resource Management; Oct2024, Vol. 117 Issue 4, p196-209, 14p
PREDICTION OF SWELLING PARAMETERS OF TWO CLAYEY SOILS FROM ALGERIA USING ARTIFICIAL NEURAL NETWORKS.
Autor:
MEROUANE, FATIMA ZOHRA1 merouanefatima@hotmail.fr, MAMOUNE, SIDI MOHAMED AISSA2 aissa_mamoune@yahoo.fr
Publikováno v:
Mathematical Modeling in Civil Engineering. 2018, Vol. 14 Issue 3, p11-26. 16p.
Clay soil is the foundation for many buildings. Some families have the characteristic to be swelling or shrink. However, construction on this type of soil requires a good companion for the recognition of identification and characterization of their s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2678::e2a004ec853d0059d1ef8b7fc7cb6906
http://dspace.univ-tlemcen.dz/handle/112/1598
http://dspace.univ-tlemcen.dz/handle/112/1598
