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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1.080 Topics available

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693.932 PEOPLE
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Birmingham City University

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (6/6 displayed)

  • 2023Mechanical and GWP Assessment of Concrete Using Blast Furnace Slag, Silica Fume and Recycled Aggregate24citations
  • 2022A Numerical Study of Shape Memory Alloy (SMA) Reinforced Beam Subjected to Seismic Loadingcitations
  • 2022Mechanical Properties of Bamboo Core Sandwich Panelscitations
  • 2021Application of Artificial Neural Networks for web-post shear resistance of cellular steel beams38citations
  • 2021Impact of chopped basalt fibres on the mechanical proper- ties of concretecitations
  • 2016Strength, durability and leaching properties of concrete paving blocks incorporating GGBS and SF52citations

Places of action

Chart of shared publication
Kovacs, R.
1 / 1 shared
Rispoli, O.
1 / 1 shared
Shamass, Rabee
5 / 15 shared
El-Desoqi, Mohammed
1 / 1 shared
Bloy, J.
1 / 1 shared
Perera, J.
1 / 2 shared
Ganjian, Eshmaiel
1 / 52 shared
Claisse, P.
1 / 1 shared
Chart of publication period
2023
2022
2021
2016

Co-Authors (by relevance)

  • Kovacs, R.
  • Rispoli, O.
  • Shamass, Rabee
  • El-Desoqi, Mohammed
  • Bloy, J.
  • Perera, J.
  • Ganjian, Eshmaiel
  • Claisse, P.
OrganizationsLocationPeople

document

A Numerical Study of Shape Memory Alloy (SMA) Reinforced Beam Subjected to Seismic Loading

  • El-Desoqi, Mohammed
  • Limbachiya, Vireen
  • Bloy, J.
  • Shamass, Rabee
Abstract

To safeguard against the loss of life and to maintain integrity, reinforced concrete structures are designed and constructed to withstand severe damage, impact and permanent displacement during a strong earthquake. Due to the dissipation of energy after a major earthquake, steel reinforcement undergoes large strains which lead to damage in the plastic hinge zone. Furthermore, the structure will be unserviceable due to the large residual deformations caused by the permanent strain in steel. Implementation and development of smart materials in structures will help to achieve these qualities. Shape Memory Alloy (SMA) is an example of a smart material, the use of such super elastic material in reinforced structures helps to recover the strain upon unloading which leads to improved recovery. without significant degradation or permanent deformation through repeated cycling. This ability gives a promise in civil engineering infrastructure applications specifically in seismic design. The primary objective of this study is to review the use of SMA in reinforced concrete at the plastic hinge region and to review the behavior of the hybrid beam using finite element software. After validation of the finite element model with the experimental results gathered from past literature, a parametrical study is conducted to understand the behavior of the hybrid beam with a change in parameters.

Topics
  • impedance spectroscopy
  • polymer
  • steel