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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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (3/3 displayed)

  • 2023Coating Glass Fibre Yarn with Conductive Materials for Real-Time Structure Sensing2citations
  • 2022Interlayer Defect Detection in Intra-Ply Hybrid Composite Material (GF/CF) Using a Capacitance-Based Sensor7citations
  • 2022Self-Sensing Hybrid Fibre-Reinforced Polymer for Structural Health Monitoring (SHM)4citations

Places of action

Chart of shared publication
Alarifi, Ibrahim M.
3 / 10 shared
Alburayt, Anas
3 / 5 shared
Alblalaihid, Khalid
3 / 6 shared
Almutairi, Khaled S.
2 / 2 shared
Khormi, Khalid
1 / 2 shared
Almuzini, Ibrahim
1 / 2 shared
Alharbi, Abdulaziz
1 / 2 shared
Aldoihi, Saad
1 / 2 shared
Abuobaid, Meshal
3 / 4 shared
Alkhibari, Sabri
3 / 4 shared
Alwahid, Ahmed
3 / 4 shared
Almutairi, Saif H.
1 / 1 shared
Alshaikh, Abdullatif
1 / 1 shared
Chart of publication period
2023
2022

Co-Authors (by relevance)

  • Alarifi, Ibrahim M.
  • Alburayt, Anas
  • Alblalaihid, Khalid
  • Almutairi, Khaled S.
  • Khormi, Khalid
  • Almuzini, Ibrahim
  • Alharbi, Abdulaziz
  • Aldoihi, Saad
  • Abuobaid, Meshal
  • Alkhibari, Sabri
  • Alwahid, Ahmed
  • Almutairi, Saif H.
  • Alshaikh, Abdullatif
OrganizationsLocationPeople

document

Self-Sensing Hybrid Fibre-Reinforced Polymer for Structural Health Monitoring (SHM)

  • Alarifi, Ibrahim M.
  • Alburayt, Anas
  • Alblalaihid, Khalid
  • Alshaikh, Abdullatif
  • Abuobaid, Meshal
  • Alkhibari, Sabri
  • Alghamdi, Saleh A.
  • Alwahid, Ahmed
Abstract

<jats:p>Hybrid composite material has been widely used in many engineering applications (e.g., for automobiles)and has several advantages over conventional fibre-reinforced composite materials, such as high strength-to-weight ratio and low cost. However, combining two kinds of reinforcement fibre within a common matrix may lead to different failure modes, such as delamination between the layers and fragmentation when the structure is subjected to high loads. To avoid this problem, real-time damage detection should be integrated into the hybrid composite structures for structural integrity. This paper outlines the working mechanisms and the initial fabrication of an integrated capacitive sensor into the intra-ply hybrid composite. The tensile test was conducted to perform the basic characterization of the proposed sensor and provide self-sensing functionality (smart structure). The results illustrate that damage between layers can be detected by <jats:italic>in-situ </jats:italic>monitoring. It is shown that the initial damage was detected at the turning point where the relative change in capacitance begins to decrease and when the axial tensile force increases. In addition, the developed smart material has shown a linear sensitivity toward crosshead displacement up to the turning point, and applying the monitoring is useful in self-sensing for hybrid composites.</jats:p>

Topics
  • impedance spectroscopy
  • polymer
  • strength
  • composite