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

Mourlas, Christos

  • Google
  • 5
  • 6
  • 14

University of Dundee

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (5/5 displayed)

  • 2021Prediction of large-scale failures of rock from small-scale characteristics of the soil medium using multiscale modelling.citations
  • 2020Seismic Assessment of Reinforced Concrete Structures based on State-of-the-art 3D Detailed Nonlinear Finite Element Simulationscitations
  • 2019Cyclic nonlinear modeling of severely damaged and retrofitted reinforced concrete structures3citations
  • 2018Simplified HYMOD non-linear simulations of a full-scale multistory retrofitted RC structure that undergoes multiple cyclic excitations – An infill RC wall retrofitting study11citations
  • 2017Cyclic nonlinear analysis of large-scale finite element meshes through the use of hybrid modeling (HYMOD)citations

Places of action

Chart of shared publication
Pardoen, Benoît
1 / 2 shared
Markou, George
4 / 6 shared
Papadrakakis, Manolis
4 / 4 shared
Pilakoutas, Kypros
1 / 7 shared
Garcia, Reyes
1 / 7 shared
Bark, Hussein
1 / 1 shared
Chart of publication period
2021
2020
2019
2018
2017

Co-Authors (by relevance)

  • Pardoen, Benoît
  • Markou, George
  • Papadrakakis, Manolis
  • Pilakoutas, Kypros
  • Garcia, Reyes
  • Bark, Hussein
OrganizationsLocationPeople

document

Seismic Assessment of Reinforced Concrete Structures based on State-of-the-art 3D Detailed Nonlinear Finite Element Simulations

  • Mourlas, Christos
  • Markou, George
  • Papadrakakis, Manolis
Abstract

The nonlinear dynamic analysis of reinforced concrete structures is characterized by numerical instabilities, which are mainly caused by the cracking of concrete and the rapture of steel reinforcement. When dealing with this numerically unstable and computationally demanding problem, the numerical solution procedure becomes extremely cumbersome, thus leading to convergence issues. Additionally, the lack of objectivity when using 1D and 2D models does not allow the study of the nonlinear dynamic response of our structures without introducing significant simplification assumptions in-terms of material behavior and the exact discretization of the structural geometry.<br/><br/>In light of these well known modeling limitations, the main objective of this research work is to alleviate the above-mentioned numerical constraints by developing a state-of-the-art 3D detail modeling approach that will provide the professional Civil Engineer, and the researcher, with the ability to perform dynamic nonlinear analysis on large-scale reinforced concrete structures by accounting for Soil-Foundation-Structure Interaction phenomena. In order to achieve this objective, the numerical handling of the solution instabilities is addressed herein, while the use of the HYMOD approach is discussed as a potential solution to the overall modeling problem. Furthermore, the results from a recently developed parallel solver for the generation of embedded rebar elements within the concrete mesh will be presented. Finally, the scheduled future research work towards achieving this main modeling objective will be discussed.

Topics
  • impedance spectroscopy
  • simulation
  • steel