The paper deals with the neural identification of the compressive strength of concrete on the
basis of non‐destructively determined parameters. Basic information on artificial neural …

A new technique of nondestructively assessing the compression strength of concrete, which
employs artificial neural networks, is presented. A data set based on results of testing …

This paper presents the methodology of a new technique of the neural identification of the
compression strength of concrete on the basis of nondestructive tests. The neural training …

The compressive strength of concrete is mostly used criterion in producing concrete.
However, testing for compressive strength of concrete specimens is a complicated and time …

Nonlinear structural mechanics should be taken into account in the practical design of
reinforced concrete structures. Cracking is one of the major sources of nonlinearity …

Neural networks have recently been widely used to model some of the human activities in
many areas of civil engineering applications. In the present paper, artificial neural networks …

In today's world, which has witnessed unprecedented advances in technology and computer
science, artificial intelligence has emerged as a top field captivating global attention. Often …

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 …

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 research work focuses on development of Artificial Neural Networks (ANNs) in
prediction of compressive strength of concrete after 28 days. To predict the compressive …