Cargando…
Prediction Models for Estimating Compressive Strength of Concrete Made of Manufactured Sand Using Gene Expression Programming Model
The depletion of natural resources of river sand and its availability issues as a construction material compelled the researchers to use manufactured sand. This study investigates the compressive strength of concrete made of manufactured sand as a partial replacement of normal sand. The prediction m...
Autores principales: | Khan, Kaffayatullah, Salami, Babatunde Abiodun, Jamal, Arshad, Amin, Muhammad Nasir, Usman, Muhammad, Al-Faiad, Majdi Adel, Abu-Arab, Abdullah M., Iqbal, Mudassir |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9456692/ https://www.ncbi.nlm.nih.gov/pubmed/36079206 http://dx.doi.org/10.3390/ma15175823 |
Ejemplares similares
-
Predicting Bond Strength between FRP Rebars and Concrete by Deploying Gene Expression Programming Model
por: Amin, Muhammad Nasir, et al.
Publicado: (2022) -
Modelling Compression Strength of Waste PET and SCM Blended Cementitious Grout Using Hybrid of LSSVM Models
por: Khan, Kaffayatullah, et al.
Publicado: (2022) -
Compressive Strength Estimation of Fly Ash/Slag Based Green Concrete by Deploying Artificial Intelligence Models
por: Khan, Kaffayatullah, et al.
Publicado: (2022) -
Investigating the Bond Strength of FRP Laminates with Concrete Using LIGHT GBM and SHAPASH Analysis
por: Amin, Muhammad Nasir, et al.
Publicado: (2022) -
Predictive Modeling of Compression Strength of Waste PET/SCM Blended Cementitious Grout Using Gene Expression Programming
por: Khan, Kaffayatullah, et al.
Publicado: (2022)