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

Yagar, Ali Cem

  • Google
  • 1
  • 3
  • 2

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2024Evaluation of ACI code equation on punching shear strength of slab-column connections strengthened with FRP: A database study2citations

Places of action

Chart of shared publication
Ball, Richard J.
1 / 48 shared
Ince, Ceren
1 / 3 shared
Derogar, Shahram
1 / 2 shared
Chart of publication period
2024

Co-Authors (by relevance)

  • Ball, Richard J.
  • Ince, Ceren
  • Derogar, Shahram
OrganizationsLocationPeople

article

Evaluation of ACI code equation on punching shear strength of slab-column connections strengthened with FRP: A database study

  • Ball, Richard J.
  • Ince, Ceren
  • Derogar, Shahram
  • Yagar, Ali Cem
Abstract

Even though fibre reinforced polymers (FRP) have been competently utilised to enhance the punching shear capacity of flat slab-column connections over the last few decades, a unified formula addressing the influence of FRP strengthening on the performance of such connections is deficient. This study evaluates the ACI 318–19 code equation precision and the associated modifications when applied to predict the punching shear strength of flat <br/>slab-column connections with externally bonded FRP strengthening using the qualified database harvested from the literature published between 1995 to 2023. Here we present a new formula, predicting the punching shear strength of flat slabs, derived using the comprehensive database through the non-linear regression analysis. The proposed model captured all the trends observed for the influencing parameters and compared these to the ACI 318–19 code equation and its associated modifications. Predicting the punching shear strength of flat slabcolumn connections with improved precision does not only increase the practicality and cost effectiveness during the design phase, but also reduces the carbon footprint and introduces the concept of regenerative design <br/>in structural engineering practice.

Topics
  • impedance spectroscopy
  • polymer
  • Carbon
  • phase
  • strength