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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Materials Map under construction

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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University of Strathclyde

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (5/5 displayed)

  • 2017Comparison of epoxy and braze-welded attachment methods for FBG strain gaugescitations
  • 2017Finite difference analysis and experimental validation of 3D photonic crystals for structural health monitoring7citations
  • 2016First-time demonstration of measuring concrete prestress levels with metal packaged fibre optic sensors19citations
  • 2013Induction brazing of Type-I fiber Bragg gratings into Kovar ferrules exploiting Curie transition21citations
  • 2012Mechanical strength of silica fiber splices after exposure to extreme temperatures1citations

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Chart of shared publication
Mcalorum, Jack
1 / 2 shared
Rubert, T.
1 / 1 shared
Mckeeman, Iain James
2 / 3 shared
Fusiek, Grzegorz
2 / 11 shared
Clayburn, L.
1 / 1 shared
Niewczas, Pawel
4 / 15 shared
Vaccari, Alessandro
1 / 9 shared
Chiappini, Andrea
1 / 33 shared
Deseri, Luca
1 / 4 shared
Zonta, Daniele
1 / 21 shared
Piccolo, Valentina
1 / 2 shared
Ferrari, Maurizio
1 / 49 shared
Lesina, Antonino Calà
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Johnston, M.
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Walsh, M.
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Saafi, M.
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Khan, S.
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Canning, John
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Cook, Kevin
2 / 4 shared
Johnston, Michael
2 / 4 shared
Chart of publication period
2017
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Co-Authors (by relevance)

  • Mcalorum, Jack
  • Rubert, T.
  • Mckeeman, Iain James
  • Fusiek, Grzegorz
  • Clayburn, L.
  • Niewczas, Pawel
  • Vaccari, Alessandro
  • Chiappini, Andrea
  • Deseri, Luca
  • Zonta, Daniele
  • Piccolo, Valentina
  • Ferrari, Maurizio
  • Lesina, Antonino Calà
  • Johnston, M.
  • Walsh, M.
  • Saafi, M.
  • Khan, S.
  • Canning, John
  • Cook, Kevin
  • Johnston, Michael
OrganizationsLocationPeople

conferencepaper

Finite difference analysis and experimental validation of 3D photonic crystals for structural health monitoring

  • Vaccari, Alessandro
  • Chiappini, Andrea
  • Deseri, Luca
  • Zonta, Daniele
  • Piccolo, Valentina
  • Ferrari, Maurizio
  • Perry, Marcus
  • Lesina, Antonino Calà
Abstract

In this work, we validate the behavior of 3D Photonic Crystals for Structural Health Monitoring applications. A Finite Difference Time Domain (FDTD) analysis has been performed and compared to experimental data. We demonstrate that the photonic properties of a crystal (comprised of sub-micrometric polystyrene colloidal spheres embedded in a PDMS matrix) change as a function of the axial strain applied to a rubber substrate. The change in the reflected wavelength, detected through our laboratory experiments and equivalent to a visible change in crystal color, is assumed to be caused by changes in the interplanar spacing of the polystyrene beads. This behavior is captured by our full wave 3D FDTD model. This contains different wavelengths in the visible spectrum and the wave amplitudes of the reflected and transmitted secondary beams are then computed. A change in the reflectance or transmittance is observed at every programmed step in which we vary the distance between the spheres. These investigations are an important tool to predict, study and validate our understanding of the behavior of this highly complex physical system. In this context, we have developed a versatile and robust parallelized code, able to numerically model the interaction of light with matter, by directly solving Maxwell's equations in their strong form. The ability to describe the physical behavior of such systems is an important and fundamental capability which will aid the design and validation of innovative photonic sensors.

Topics
  • impedance spectroscopy
  • experiment
  • rubber