ANN models for nano silica/ silica fume concrete strength prediction
ABSTRACTArtificial Neural Network (ANN) modelswere built to expect the compression strength of various types of concrete incorporatingnano silica (NS) and silica fume (SF) as partial cement replacement. The mixtures data used in the networks model,which was collected from previous researchers, studi...
Main Authors: | Osama A. Hodhod, Mohamed S. Khalafalla, Mohamed S.M. Osman |
---|---|
Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2019-01-01
|
Series: | Water Science |
Subjects: | |
Online Access: | https://www.tandfonline.com/doi/10.1080/11104929.2019.1669005 |
Similar Items
-
Properties of Fibre-Reinforced High-Strength Concrete with Nano-Silica and Silica Fume
by: Arash Karimipour, et al.
Published: (2021-10-01) -
Effects of Chemicals Exposure on the Durability of Geopolymer Concrete Incorporated with Silica Fumes and Nano-Sized Silica at Varying Curing Temperatures
by: Sagar Paruthi, et al.
Published: (2023-09-01) -
Comparative Study between Silica Fume and Nano Silica Fume in Improving the Shear Strength and Collapsibility of Highly Gypseous Soil
by: Ahmed A. H. Al-Obaidi, et al.
Published: (2020-04-01) -
Investigation of Compressive Strength of Rubberized Concrete Improvised with Silica Fume
by: Norhidayah Rasin Rasin, et al.
Published: (2023-03-01) -
Utilizing silica fume for development of concrete strength /
by: Afham Zulhusmi Ahmad, 1983-, et al.
Published: (2013)