Cargando…
Predicting the Lateral Load Carrying Capacity of Reinforced Concrete Rectangular Columns: Gene Expression Programming
This research presents a novel approach of artificial intelligence (AI) based gene expression programming (GEP) for predicting the lateral load carrying capacity of RC rectangular columns when subjected to earthquake loading. To achieve the desired research objective, an experimental database assemb...
Autores principales: | Asghar, Raheel, Javed, Muhammad Faisal, Alrowais, Raid, Khalil, Alamgir, Mohamed, Abdeliazim Mustafa, Mohamed, Abdullah, Vatin, Nikolai Ivanovich |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9000259/ https://www.ncbi.nlm.nih.gov/pubmed/35408010 http://dx.doi.org/10.3390/ma15072673 |
Ejemplares similares
-
Advanced Machine Learning Modeling Approach for Prediction of Compressive Strength of FRP Confined Concrete Using Multiphysics Genetic Expression Programming
por: Ilyas, Israr, et al.
Publicado: (2022) -
Forecasting the Mechanical Properties of Plastic Concrete Employing Experimental Data Using Machine Learning Algorithms: DT, MLPNN, SVM, and RF
por: Nafees, Afnan, et al.
Publicado: (2022) -
Axial Compressive Strength Models of Eccentrically-Loaded Rectangular Reinforced Concrete Columns Confined with FRP
por: Isleem, Haytham F., et al.
Publicado: (2021) -
Numerical Modelling of Geopolymer Concrete In-Filled Fibre-Reinforced Polymer Composite Columns Subjected to Axial Compression Loading
por: Veerapandian, Varunkumar, et al.
Publicado: (2022) -
Behaviour of Hybrid Fibre-Reinforced Ternary Blend Geopolymer Concrete Beam-Column Joints under Reverse Cyclic Loading
por: Sathish Kumar, Veerappan, et al.
Publicado: (2022)