Implementation of hybrid neuro-fuzzy and self-turning predictive model for the prediction of concrete carbonation depth: A soft computing technique
Carbonation is one of the critical problems that affects the durability of reinforced concrete; it
is a reaction between CO 2 gas and Ca (OH) 2 when H 2 O is available, which forms …
is a reaction between CO 2 gas and Ca (OH) 2 when H 2 O is available, which forms …
Compressive strength of self-compacting concrete modified with rice husk ash and calcium carbide waste modeling: a feasibility of emerging emotional intelligent …
In the present research, the information on compressive strength of self-compacting concrete
(SCC) containing rice husk ash (RHA) and calcium carbide waste (CCW) as an admixture …
(SCC) containing rice husk ash (RHA) and calcium carbide waste (CCW) as an admixture …
[HTML][HTML] Mix design optimization of concrete containing fly ash and slag for global warming potential and cost reduction
Mix design optimization is challenging because the properties of concrete depend on both
the chemical and physical properties of the components and their relative proportions. In this …
the chemical and physical properties of the components and their relative proportions. In this …
Carbonation model for fly ash concrete based on artificial neural network: Development and parametric analysis
Control and prediction of the carbonation depth in reinforced concrete structures has great
relevance for construction industry, since the carbonation process is directly related to the …
relevance for construction industry, since the carbonation process is directly related to the …
Machine learning for predicting concrete carbonation depth: A comparative analysis and a novel feature selection
The accurate prediction of concrete carbonation depth is essential to prevent concrete from
cracking and corrosion. However, identifying the critical parameters affecting carbonation …
cracking and corrosion. However, identifying the critical parameters affecting carbonation …
A Review of Concrete Carbonation Depth Evaluation Models
X Wang, Q Yang, X Peng, F Qin - Coatings, 2024 - mdpi.com
Carbonation is one of the critical issues affecting the durability of reinforced concrete.
Evaluating the depth of concrete carbonation is of great significance for ensuring the quality …
Evaluating the depth of concrete carbonation is of great significance for ensuring the quality …
A generic framework for augmented concrete mix design: Optimisation of geopolymer concrete considering environmental, financial and mechanical properties
While concrete mix design has typically focused on the development of low-cost concretes
that achieve a particular set of material characteristics, it is now becoming increasingly …
that achieve a particular set of material characteristics, it is now becoming increasingly …
Non-destructive prediction of concrete compressive strength using neural networks
A Khashman, P Akpinar - Procedia Computer Science, 2017 - Elsevier
Our thirst for progress as humans is reflected by our continuous research activities in
different areas leading to many useful emerging applications and technologies. Artificial …
different areas leading to many useful emerging applications and technologies. Artificial …
Artificial intelligence prediction of rutting and fatigue parameters in modified asphalt binders
The complex shear modulus (G*) and phase angle (δ) are fundamental viscoelastic
rheological properties used in the estimation of rutting and fatigue pavement distress in …
rheological properties used in the estimation of rutting and fatigue pavement distress in …
Development of hybrid machine learning-based carbonation models with weighting function
Carbonation of concrete has significant influence on the service life of constructions and
great effort has been made to establish an accurate and efficient model of carbonation that …
great effort has been made to establish an accurate and efficient model of carbonation that …