The non-destructive testing of concrete structures with methods such as ultrasonic pulse
velocity and Schmidt rebound hammer test is of utmost technical importance. Non …

Neural networks procedures provide a reliant analysis in several science and technology
fields. Neural network is often applied to develop statistical models for intrinsically non-linear …

Testing of ultrasonic pulse velocity (UPV) is one of the most popular and actual non-
destructive techniques used in the estimation of the concrete properties in structures. In this …

This study presents a comparative assessment of conventional soft computing techniques in
estimating the compressive strength (CS) of concrete utilizing two non-destructive tests …

In the paper, an artificial neural network (ANN) model is proposed to predict the compressive
strength of concrete. For developing the ANN model the data bank on concrete compressive …

A method to predict 28-day compressive strength of high strength concrete (HSC) by using
MFNNs is proposed in this paper. The artificial neural networks (ANN) model is constructed …

The work presents the results of an experimental campaign carried out on concrete
elements in order to investigate the potential of using artificial neural networks (ANNs) to …

Ultrasonic pulse velocity technique is one of the most popular non-destructive techniques
used in the assessment of concrete properties. However, it is very difficult to accurately …

In the present paper, application of artificial neural networks (ANNs) to predict elastic
modulus of both normal and high strength concrete is investigated. The paper aims to show …

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 …