Materials Map

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

  • About
  • Privacy Policy
  • Legal Notice
  • Contact

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.

×

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.

To Graph

1.080 Topics available

To Map

977 Locations available

693.932 PEOPLE
693.932 People People

693.932 People

Show results for 693.932 people that are selected by your search filters.

←

Page 1 of 27758

→
←

Page 1 of 0

→
PeopleLocationsStatistics
Naji, M.
  • 2
  • 13
  • 3
  • 2025
Motta, Antonella
  • 8
  • 52
  • 159
  • 2025
Aletan, Dirar
  • 1
  • 1
  • 0
  • 2025
Mohamed, Tarek
  • 1
  • 7
  • 2
  • 2025
Ertürk, Emre
  • 2
  • 3
  • 0
  • 2025
Taccardi, Nicola
  • 9
  • 81
  • 75
  • 2025
Kononenko, Denys
  • 1
  • 8
  • 2
  • 2025
Petrov, R. H.Madrid
  • 46
  • 125
  • 1k
  • 2025
Alshaaer, MazenBrussels
  • 17
  • 31
  • 172
  • 2025
Bih, L.
  • 15
  • 44
  • 145
  • 2025
Casati, R.
  • 31
  • 86
  • 661
  • 2025
Muller, Hermance
  • 1
  • 11
  • 0
  • 2025
Kočí, JanPrague
  • 28
  • 34
  • 209
  • 2025
Šuljagić, Marija
  • 10
  • 33
  • 43
  • 2025
Kalteremidou, Kalliopi-ArtemiBrussels
  • 14
  • 22
  • 158
  • 2025
Azam, Siraj
  • 1
  • 3
  • 2
  • 2025
Ospanova, Alyiya
  • 1
  • 6
  • 0
  • 2025
Blanpain, Bart
  • 568
  • 653
  • 13k
  • 2025
Ali, M. A.
  • 7
  • 75
  • 187
  • 2025
Popa, V.
  • 5
  • 12
  • 45
  • 2025
Rančić, M.
  • 2
  • 13
  • 0
  • 2025
Ollier, Nadège
  • 28
  • 75
  • 239
  • 2025
Azevedo, Nuno Monteiro
  • 4
  • 8
  • 25
  • 2025
Landes, Michael
  • 1
  • 9
  • 2
  • 2025
Rignanese, Gian-Marco
  • 15
  • 98
  • 805
  • 2025

Giraldo-Pérez, Erick

  • Google
  • 1
  • 3
  • 0

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2018Structural health monitoring using carbon nanotube/epoxy composites and strain-field pattern recognitioncitations

Places of action

Chart of shared publication
Martinez-Tejada, Hader Vladimir
1 / 12 shared
Alvarez-Montoya, Joham
1 / 7 shared
Sierra, Julian
1 / 11 shared
Chart of publication period
2018

Co-Authors (by relevance)

  • Martinez-Tejada, Hader Vladimir
  • Alvarez-Montoya, Joham
  • Sierra, Julian
OrganizationsLocationPeople

document

Structural health monitoring using carbon nanotube/epoxy composites and strain-field pattern recognition

  • Martinez-Tejada, Hader Vladimir
  • Giraldo-Pérez, Erick
  • Alvarez-Montoya, Joham
  • Sierra, Julian
Abstract

<p>Structural Health Monitoring (SHM) aims to reduce costs and uncertainties in maintenance of aero-structures and wind turbines blades by using smart sensors. In this work, a Carbon Nanotube (CNT)/epoxy nanocomposite patch was developed for SHM based on strain field pattern recognition techniques in engineering structures. This relies on the piezoresistive capabilities of CNT nanocomposites and on the fact that damage occurrence produces changes in the strain field that can be detected by means of pattern recognition. Experimental tests were carried out by bonding the patch to an aluminum I-beam subjected to different load magnitudes in three-point bending. Resistance measurements were acquired from the patch using a multiplexed impedance tester in order to obtain 64 measurements that are correlated to strains in different directions. Then, the same experimental tests were carried out after inducing an artificial damage. The preliminary results showed that standardization needs to be performed to decouple changes due to the load magnitude from those produced by damage occurrence. In addition, slight changes in the strain field were noted in the standardized data for the damage condition. Future work will consist of implementing pattern recognition techniques to automatically detect such changes associated with damage occurrence and validate the methodology with different kind of damages.</p>

Topics
  • nanocomposite
  • Carbon
  • nanotube
  • aluminium