The deterioration of concrete structures is one of the major concerns of our society. Indeed, concrete is a relatively sensitive material, which degrades throughout time. Factors like age, use, periodic maintenance, type of environmental exposure and aggression by biological, chemical, mechanical and physical agents are important to determine the level of degradation of the concrete structures. Logic Programming was used for knowledge representation and reasoning, letting the modeling of the universe of discourse in terms of defective data, information and knowledge. Artificial Neural Networks were used in order to evaluate the deterioration of concrete structures and the degree of confidence that one has on such a happening
In this study, an artificial neural network (ANN) and fuzzy logic (FL) study were developed to predi...
The Artificial Neural Network (ANN) is a system, which is utilized for solving complicated problems ...
Condition assessment of reinforced concrete bridges is a complex subject imbued with uncertainty and...
The deterioration of concrete structures is one of the major concerns of our society. Indeed, concre...
This dissertation investigates the level of acid‐resistance of concrete degradation. Conc...
Machine learning techniques have been used in different fields of concrete technology to characteriz...
Corrosion of the steel embedded in concrete plays a vital role in the determination of life and dur...
Cases of collapsed buildings and structures are prevalent in Nigeria. In most of these cases the cau...
A resilient infrastructure system remains a top priority for Canada as it is hinged to strong econo...
Green concrete has been widely used in recent years because its production compliments environmental...
An extensive simulation program is used in this study to discover the best ANN model for predicting ...
Cracks in concrete cause structural damage, and it is important to identify and classify them. The o...
AbstractThis work was divided into two phases. Phase one included the validation of neural network t...
The objective of the work is to estimate the compressive strength of concrete by means of the applic...
Deterioration in concrete comprises an initiation period and a propagation period. The initiation pe...
In this study, an artificial neural network (ANN) and fuzzy logic (FL) study were developed to predi...
The Artificial Neural Network (ANN) is a system, which is utilized for solving complicated problems ...
Condition assessment of reinforced concrete bridges is a complex subject imbued with uncertainty and...
The deterioration of concrete structures is one of the major concerns of our society. Indeed, concre...
This dissertation investigates the level of acid‐resistance of concrete degradation. Conc...
Machine learning techniques have been used in different fields of concrete technology to characteriz...
Corrosion of the steel embedded in concrete plays a vital role in the determination of life and dur...
Cases of collapsed buildings and structures are prevalent in Nigeria. In most of these cases the cau...
A resilient infrastructure system remains a top priority for Canada as it is hinged to strong econo...
Green concrete has been widely used in recent years because its production compliments environmental...
An extensive simulation program is used in this study to discover the best ANN model for predicting ...
Cracks in concrete cause structural damage, and it is important to identify and classify them. The o...
AbstractThis work was divided into two phases. Phase one included the validation of neural network t...
The objective of the work is to estimate the compressive strength of concrete by means of the applic...
Deterioration in concrete comprises an initiation period and a propagation period. The initiation pe...
In this study, an artificial neural network (ANN) and fuzzy logic (FL) study were developed to predi...
The Artificial Neural Network (ANN) is a system, which is utilized for solving complicated problems ...
Condition assessment of reinforced concrete bridges is a complex subject imbued with uncertainty and...