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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Santos, Filipe Amarante Dos

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (12/12 displayed)

  • 2024Programming quadric metasurfaces via infinitesimal origami maps of monohedral hexagonal tessellationscitations
  • 2020Explorative study on adaptive facades with superelastic antagonistic actuation6citations
  • 2019Mechanical modeling of superelastic tensegrity braces for earthquake-proof structures28citations
  • 2019Seismic performance of superelastic tensegrity bracescitations
  • 2018Toward an adaptive vibration absorber using shape-memory alloys, for civil engineering applications18citations
  • 2018Superelastic tensegrities: matrix formulation and antagonistic actuation13citations
  • 2017Shape-memory alloys as macrostrain sensors6citations
  • 2016FE Exploratory Investigation on the Performance of SMA-Reinforced Laminated Glass Panels3citations
  • 2016Toward a Novel SMA-reinforced Laminated Glass Panel1citations
  • 2016Buckling control using shape-memory alloy cables2citations
  • 2010Comparison Between Two SMA Constitutive Models for Seismic Applicationscitations
  • 2008Numerical simulation of superelastic shape memory alloys subjected to dynamic loads21citations

Places of action

Chart of shared publication
Favata, Antonino
1 / 1 shared
Micheletti, Andrea
3 / 5 shared
Scardaoni, Marco Picchi
1 / 3 shared
Paroni, Roberto
1 / 1 shared
Bedon, Chiara
3 / 35 shared
Fraternali, F.
1 / 22 shared
Benzoni, Gianmario
1 / 1 shared
Fraternali, Fernando
1 / 6 shared
Nunes, João
1 / 3 shared
Sittner, Petr
1 / 8 shared
Cismasiu, Corneliu
2 / 2 shared
Chart of publication period
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Co-Authors (by relevance)

  • Favata, Antonino
  • Micheletti, Andrea
  • Scardaoni, Marco Picchi
  • Paroni, Roberto
  • Bedon, Chiara
  • Fraternali, F.
  • Benzoni, Gianmario
  • Fraternali, Fernando
  • Nunes, João
  • Sittner, Petr
  • Cismasiu, Corneliu
OrganizationsLocationPeople

article

Shape-memory alloys as macrostrain sensors

  • Santos, Filipe Amarante Dos
Abstract

<p>The present paper studies the feasibility, through physical experimentation, of efficient and low-cost macrostrain sensors, based on shape-memory alloy technologies. The motivation of this work is to explore the intrinsic relation between electrical resistivity and strain, associated with the development of the stress induced martensitic transformation in superelastic shape-memory alloys. This property enables the material to endure deformations up to 8% without any residual strains, making shape-memory alloy wires excellent candidates for kernel elements in innovative strain transducers with dynamic ranges 4 to 5 times larger than the currently available strain transducers. An experimental prototype of a beam with a set of SMA macrostrain sensors is presented, featuring a timed scanning sequential algorithm to successfully perform the resistance readings. The aim of this work is to provide an additional insight into the potential of SMAs in new macrostrain measurement applications.</p>

Topics
  • impedance spectroscopy
  • resistivity
  • wire
  • shape-memory alloy