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

Ullah, Asad

  • Google
  • 6
  • 20
  • 43

University of Perugia

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (6/6 displayed)

  • 2022Shear Strength Model for Reinforced Concrete Corner Joints Based on Soft Computing Techniques2citations
  • 2022Shear Strength Prediction Model for RC Exterior Joints Using Gene Expression Programming3citations
  • 2022Gene Expression Programming for Estimating Shear Strength of RC Squat Wall10citations
  • 2022Improved shear strength prediction model of steel fiber reinforced concrete beams by adopting gene expression programming16citations
  • 2021Synthesis, characterization and application of graphene oxide in self consolidating cementitious systems10citations
  • 2019W/C REDUCTION FOR FLEXURAL STRENGTHENING OF R.C BEAMS HAVING PLASTIC AGGREGATE2citations

Places of action

Chart of shared publication
Waseem, Muhammad
1 / 6 shared
Jamil, Irfan
1 / 1 shared
Khan, Azam
4 / 4 shared
Nasir, Hassan
1 / 3 shared
Tariq, Moiz
4 / 4 shared
Ahmad, Mahmood
1 / 6 shared
Zamin, Bakht
1 / 1 shared
Shayanfar, Javad
1 / 5 shared
Niaz, Momina
1 / 1 shared
Khushnood, Rao Arsalan
1 / 9 shared
Ullah, Majeed
1 / 2 shared
Ahmed, Wisal
1 / 3 shared
Qureshi, Zarar Ali
1 / 1 shared
Pervaiz, Erum
1 / 2 shared
Imtiazi, Shahzada Burhan Ahmad
1 / 1 shared
Haq, Fazal
1 / 4 shared
Shan, Kamal
1 / 1 shared
Mehmood, Faisal
1 / 2 shared
Gul, Akhtar
1 / 3 shared
Tayyab, Saad
1 / 1 shared
Chart of publication period
2022
2021
2019

Co-Authors (by relevance)

  • Waseem, Muhammad
  • Jamil, Irfan
  • Khan, Azam
  • Nasir, Hassan
  • Tariq, Moiz
  • Ahmad, Mahmood
  • Zamin, Bakht
  • Shayanfar, Javad
  • Niaz, Momina
  • Khushnood, Rao Arsalan
  • Ullah, Majeed
  • Ahmed, Wisal
  • Qureshi, Zarar Ali
  • Pervaiz, Erum
  • Imtiazi, Shahzada Burhan Ahmad
  • Haq, Fazal
  • Shan, Kamal
  • Mehmood, Faisal
  • Gul, Akhtar
  • Tayyab, Saad
OrganizationsLocationPeople

article

Shear Strength Model for Reinforced Concrete Corner Joints Based on Soft Computing Techniques

  • Ullah, Asad
  • Waseem, Muhammad
  • Jamil, Irfan
  • Khan, Azam
  • Nasir, Hassan
  • Tariq, Moiz
Abstract

The shear strength of cyclically loaded RC corner joints, resulting in opening and closing moments, has not been extensively studied. In addition, experimental studies of the joint shear strength are time-consuming and expensive. Therefore, to overcome this challenge, two separate gene expression programming (GEP) based empirical models are developed for the shear strength of the corner joints, one under the opening moment and the other under the closing moments. One of the key parameters overlooked in previous studies is the joint shear reinforcement, which has been incorporated in the GEP models. These models are developed by compiling an experimental database of 59 specimens in terms of the concrete compressive strength, the joint aspect ratio, the reinforcement tensile strength, and the reinforcement compressive strength. A detailed statistical study is undertaken that indicates superior accuracy of the proposed models and a high potential for their application in the design practice.

Topics
  • impedance spectroscopy
  • strength
  • tensile strength