Radar assessment of structural concrete using neural networks

Molyneaux, T; Millard, S.G.; Bungey, J. H.; Jie, Zhou

doi:10.1016/0963-8695(95)00027-u

Cited by 32 publications

(9 citation statements)

References 2 publications

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“…Ultrasonic method [1,2], X-ray method [3,4], magnetic flux leakage (DC field) method [5][6][7], electromagnetic induction (AC field) method [8][9][10][11][12][13], microwave radar system [14][15][16], and thermography technology [17][18] have been used to evaluate the break, the location, or the corrosion of the steel rebar in concrete.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Steel Rebar in Concrete Using Electromagnetic Method

He¹

2019

Failure Analysis

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The corrosion of steel reinforcing bar (rebar) is the leading cause of deterioration of concrete. In Japan, many railway bridges were built 40 years ago. It is necessary to develop easy-operation method to evaluate the corrosion of steel rebar. A project about the corrosion evaluation of steel rebar was started in 2015. In this project, we have two objectives: one is to evaluate the depth and the diameter of steel rebar in concrete; another is to evaluate the corrosion of steel rebar in concrete. We developed electromagnetic methods to do nondestructive evaluation of the steel reinforcing bar (rebar) in concrete. Using two probes and lower excitation frequencies of 3.8 and 4.2 kHz, the depth and the diameter of the steel reinforcing bar can be evaluated. Using higher excitation frequency of about 80 kHz, and the X, Y signals of the lock-in amplifier, where the X signal is the same phase signal with the AC excitation magnetic field and Y signal is the 90°phase different signal with the AC excitation magnetic field, we could evaluate the corrosion of steel rebar. A compact system with low power consumption of 0.5 W was developed, and we also did some field experiments using this system.

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Section: Introductionmentioning

confidence: 99%

Evaluation of Steel Rebar in Concrete Using Electromagnetic Method

He¹

2019

Failure Analysis

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“…Neural networks techniques have been employed with considerable success to analyse and invert a range of different types of test results in the field of geophysics [5]. For this study number of different methods were trialled [6,7] before the methods described herein were adopted and refined. The final system discussed is not intended to be a fully capable system to cover all field situations but a demonstration of potential.…”

Section: Introductionmentioning

confidence: 99%

Location of steel reinforcement in concrete using ground penetrating radar and neural networks

Shaw¹,

Millard²,

Molyneaux³

et al. 2005

NDT & E International

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“…A measurement of pipe diameter would be an important feature in pipe identification. Ground penetrating radar is already an important technique in buried pipe location (1)(2)(3) . An antenna close to the surface emits a short pulse of radiation, typically 1.5 cycles at the radar operating frequency.…”

Section: Introductionmentioning

confidence: 99%