A new method is presented for extracting dimensional information from steel bars using images generated by an inductive sensor. The technique is based on the application of two feedforward backpropagation neural networks; one to estimate bar depth and the other to estimate bar diameter. Both of the networks have been trained on a set of data that consists of the peak parameters of six different bars scanned at 41 different bar depths. These input and target data must be pre-processed to obtain a good network generalisation. By testing the two networks with a completely different set of data, accurate performance has been obtained. Real, two-dimensional scan data have then been applied to both of the networks and the bar dimensional paramete...
AbstractDespite the availability of large number of empirical and semi-empirical models, the problem...
In the last decade, conventional materials such as steel and concrete are being replaced by fiber re...
Corrosion of the steel embedded in concrete plays a vital role in the determination of life and dur...
There is an increased interest in the use of ground-penetrating radar as a non-destructive assessmen...
This work proposes a methodology for non destructive testing (NDT) of reinforced concrete structures...
This paper presents a methodology to automatically distinguish and quantify the corrosion of reinfor...
This paper presents an experimental research on the use of eddy current testing (ECT) and artificial...
Techniques for determining the covering thickness and diameter of reinforcing bars are needed in the...
This paper discusses the development and the implementation of a neural network for the depth predic...
There is now growing concern regarding the safety of many prestressed concrete structures [1]. Of pr...
The paper presents a technique for generating concise neural network models of physical systems. The...
Detecting defects within reinforced concrete is vital to the safety and durability of our built infr...
This paper presents a new non-destructive testing (NDT) for reinforced concrete structures, in order...
This paper proposes a nondestructive evaluation method based on deep learning using combined ground-...
Abstract. It is a complex non-linear problem to predict mechanical properties of concrete. As a new ...
AbstractDespite the availability of large number of empirical and semi-empirical models, the problem...
In the last decade, conventional materials such as steel and concrete are being replaced by fiber re...
Corrosion of the steel embedded in concrete plays a vital role in the determination of life and dur...
There is an increased interest in the use of ground-penetrating radar as a non-destructive assessmen...
This work proposes a methodology for non destructive testing (NDT) of reinforced concrete structures...
This paper presents a methodology to automatically distinguish and quantify the corrosion of reinfor...
This paper presents an experimental research on the use of eddy current testing (ECT) and artificial...
Techniques for determining the covering thickness and diameter of reinforcing bars are needed in the...
This paper discusses the development and the implementation of a neural network for the depth predic...
There is now growing concern regarding the safety of many prestressed concrete structures [1]. Of pr...
The paper presents a technique for generating concise neural network models of physical systems. The...
Detecting defects within reinforced concrete is vital to the safety and durability of our built infr...
This paper presents a new non-destructive testing (NDT) for reinforced concrete structures, in order...
This paper proposes a nondestructive evaluation method based on deep learning using combined ground-...
Abstract. It is a complex non-linear problem to predict mechanical properties of concrete. As a new ...
AbstractDespite the availability of large number of empirical and semi-empirical models, the problem...
In the last decade, conventional materials such as steel and concrete are being replaced by fiber re...
Corrosion of the steel embedded in concrete plays a vital role in the determination of life and dur...