Electromagnetic evaluation of reinforced concrete structure

Chady, Tomasz; Frankowski, Paweł

doi:10.1063/1.4789200

Cited by 13 publications

(23 citation statements)

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“…The curse of dimensionality can be avoided by reducing number of the dimensions. Usually only a few attributes is enough to build the optimal classification model [4,5]. However, in the presented case only possibility that attributes are useless is very high correlation with the other one or very high impact of the noise, then reduction of attributes number means usually reduction of available knowledge.…”

Section: Discussionmentioning

confidence: 99%

“…[4,5]) the identification problems were solved by the simple classification algorithms, like Naive Bayes, Neural Networks, Decision Tree etc. These methods are effective when investigator want to check the correctness of his hypothesis or method.…”

Section: Discussionmentioning

confidence: 99%

“…This article proposes software solutions, which allow eliminating or reducing both of these problems. The utilized system was presented in the previous works [4,5], it consists of the E-shape differential transducer (Fig. 1a) and four subsystems: a XYZ scanner, an excitation subsystem, a data acquisition subsystem and a controlling computer.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Identification of rebars in a reinforced mesh using eddy current method

Frankowski

Sikora

Chady

2016

AIP Conference Proceedings

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Abstract. The aim of this paper is to present an expert system for identification of the basic reinforcement concrete structures parameters like: rebars diameter, thickness of a concrete cover and a kind of rebar's alloy (class). The results of measurement carried out by the eddy current transducers were utilized for the designed system. Measured waveforms are represented by two kinds of attributes, the d-factors represent a waveform shape, and a maximal amplitude. In order to extract an association rules between the specific attributes and the structure parameters a rough set theory was used.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Identification of rebars in a reinforced mesh using eddy current method

Frankowski

Sikora

Chady

2016

AIP Conference Proceedings

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“…The accuracy of electromagnetic tests mainly depends on the location depth, spacing, arrangement of rebars toward the direction of scanning, the type of reinforcement, and the quality of concrete surface [10,11]. A type of spectral analysis and compensation procedures of systematic measuring errors also affect the accuracy of tests .…”

Section: Electromagnetic Methodsmentioning

confidence: 99%

Accuracy of Eddy-Current and Radar Methods Used to Reinforcement Detection

Drobiec¹,

Jasiński²,

Mazur³

2019

Preprint

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Currently, electromagnetic and radar methods are the most common non-destructive tests for non-destructive rebar location in structures.. Both methods have some advantages, disadvantages and limitations. This article is an attempt to describe possibilities of particular methods with emphasizing their advantages and limitations. The first stage of tests included results from tests conducted on a lintel beam made of autoclaved aerated concrete (AAC) and reinforced with small-diameter rebars and rebars placed close to each other. The second stage consisted in testing nine lightweight concrete specimens, each with three bars having a diameter of 10, 16 and 20 mm at three different space arrangements, to determine the effect of bar diameter and spacing on the measurement accuracy. The reinforcement of lintels and specimens was tested with two different electromagnetic scanners and a ground-penetrating radar (GPR) device. Received results from direct tests were compared with results from non-destructive tests (NDT). NDT tests conducted in such an element were found to perform the correct assessment of the concrete cover, and at the same time to give ambiguous results with reference to shape and number of rebars.

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“…Exciting coils of the differential eddy current transducer are powered from two independent function synthesizers. [1] Frequencies of both excitation sinusoidal signals are equal. The alternating currents in two exciting coils are also equal but flow in opposite directions.…”

Section: Introductionmentioning

confidence: 99%

Knowledge extraction algorithms dedicated for identification of steel bars in reinforced concrete structures

Frankowski

Chady

Sikora

2014

AIP Conference Proceedings

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The purpose of this paper is to present knowledge extraction algorithms, dedicated for new electromagnetic system used to evaluate steel bars in reinforced concrete structures. All stages of the rebar identification process have been presented. At the first step, relations between parameters of the tested structure and measured waveform are extracted. For this purpose, a dedicated association rules learning algorithm is proposed. In the next stage, the collected data are filtered and smoothed. Finally, classification models are implemented, tested and evaluated. The experimental verification of the applied techniques was carried out, and the selected results are presented.

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Electromagnetic evaluation of reinforced concrete structure

Cited by 13 publications

References 0 publications

Identification of rebars in a reinforced mesh using eddy current method

Identification of rebars in a reinforced mesh using eddy current method

Accuracy of Eddy-Current and Radar Methods Used to Reinforcement Detection

Knowledge extraction algorithms dedicated for identification of steel bars in reinforced concrete structures

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