Concrete is one of the most widely used materials in various civil engineering applications.
Its global production rate is increasing to meet demand. Mechanical properties of concrete …

Performance metrics (Evaluation metrics or error metrics) are crucial components of
regression analysis and machine learning-based prediction models. A performance metric …

The modeling and simulation of structural systems is a task that requires high precision and
reliable results to ensure the stability and safety of construction projects of all kinds. For …

Accurately predicting and identifying appropriate parameters are necessary for producing a
safe and reliable strength model of concrete elements confined with fiber-reinforced …

Recycled aggregate concrete (RAC) is commonly used to lessen the environmental effect of
concrete building and demolition waste. The compressive strength of the RAC is one of the …

Incorporating waste material, such as recycled coarse aggregate concrete (RCAC), into
construction material can reduce environmental pollution. It is also well-known that the …

Over the past few decades, it has been observed a remarkable progression in the
development of computer aid models in the field of civil engineering. Machine learning …

Image processing (IP), artificial neural network (ANN), and adaptive neuro-fuzzy inference
system (ANFIS) are innovative techniques in computer science that have been widely used …

Interest in FRP composite bars as reinforcement to concrete has increased over the years as
it showed solutions to the drawbacks of steel such as its corrosion issues and vulnerability …

The degradation of reinforced concrete (RC) structures has raised major concerns in the
concrete industry. The demolition of existing structures has shown to be an unsustainable …