Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (8/8 displayed)

  • 2017Structural Health Monitoring Using Lamb Wave Reflections and Total Focusing Method for Image Reconstruction53citations
  • 2016Lamb Waves Boundary Reflections in an Aluminium Plate for Defect Detection related to Structural Health Monitoring.citations
  • 2011Initial studies on the use of electric field for imaging rebars embedded within concretecitations
  • 2007Flood member detection for real-time structural health monitoring of sub-sea structures of offshore steel oilrigs25citations
  • 2005Continuous monitoring guided wave encoded sensor for oil rig flooded member detection7citations
  • 2005An axisymmetric guided wave encoded system for flood detection of oil rig cross-beams13citations
  • 2005A combined Q and heterodyne sensor incorporating real-time DSP for reinforcement imaging, corrosion detection and material characterisation24citations
  • 2000Haemodynamic effects of increasing angle of head up tilt34citations

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Muller, Aurelia
2 / 3 shared
Soutis, Costas
2 / 356 shared
Welsh, Bradley Robertson
2 / 2 shared
Torres, Vladimir
1 / 1 shared
Quek, Sung
2 / 2 shared
Fernandes, Bosco T.
1 / 1 shared
Mijarez, Rito
2 / 2 shared
Burdekin, Michael
3 / 3 shared
Mijarez-Castro, Rito
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Miller, Graham
1 / 1 shared
Fernandes, Bosco
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Zaid, Muhammad
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Vohra, Akbar
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Benitez, D.
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Fitzpatrick, Ap
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Co-Authors (by relevance)

  • Muller, Aurelia
  • Soutis, Costas
  • Welsh, Bradley Robertson
  • Torres, Vladimir
  • Quek, Sung
  • Fernandes, Bosco T.
  • Mijarez, Rito
  • Burdekin, Michael
  • Mijarez-Castro, Rito
  • Miller, Graham
  • Fernandes, Bosco
  • Zaid, Muhammad
  • Vohra, Akbar
  • Benitez, D.
  • Fitzpatrick, Ap
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article

A combined Q and heterodyne sensor incorporating real-time DSP for reinforcement imaging, corrosion detection and material characterisation

  • Gaydecki, Patrick
  • Miller, Graham
  • Quek, Sung
  • Fernandes, Bosco
  • Zaid, Muhammad
Abstract

An inductive sensor is described that is used to image steel reinforcement bars in concrete and to visualise surface corrosion. When a conductive target is placed within the vicinity of the sensing coil, an EMF is induced that opposes the change producing it. This causes a reduction in the Q-factor of the coil and a fall in amplitude of the excitation signal. When a non-conducting ferrous target such as corrosion product is present, a local increase in magnetic flux density occurs that in turn causes the inductance of the sensing coil to increase, reducing the resonant frequency of the tuned-system. The changes in Q-factor and resonant frequency are measured to image both the parent steel and surface corrosion. The circuit is designed to respond to very small changes in the received signal amplitude via a sensitive gain system, and to small changes in frequency, through the application of heterodyning. The excitation frequency has been selected so that the skin effect restricts the flow of eddy currents to the surface of the target. In this manner, surface features such as cracks and corrosion may be identified. The measured parameters are ultimately expressed as voltages before being applied to a purpose-designed DSP system. This averages signals in real-time, allowing high speed scanning. Feedback stabilisation is also applied between the DSP system and sensor to minimise voltage drift. At present it is possible to detect a steel bar to a depth of 200 mm and to image steel and surface corrosion to a depth 60 mm. Additionally, it is possible to image a range of materials for which non-destructive testing is important, such as graphite rods used in the nuclear industry. Since eddy currents are disrupted by vertical cracks, these features are readily detected by the system. © 2005 Elsevier B.V. All rights reserved.

Topics
  • density
  • impedance spectroscopy
  • surface
  • corrosion
  • crack
  • steel