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

Kosteski, Luis Eduardo

  • Google
  • 3
  • 8
  • 17

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (3/3 displayed)

  • 2022Long-Range Correlations and Natural Time Series Analyses from Acoustic Emission Signals16citations
  • 2015Applications of lattice method in the simulation of crack path in heterogeneous materials1citations
  • 2015Bridging Stress Modeling Of Composite Materials Reinforced By Fibers Using Discrete Element Methodcitations

Places of action

Chart of shared publication
Friedrich, Leandro
1 / 1 shared
Bordin Colpo, Angelica
1 / 1 shared
Niccolini, Gianni
1 / 4 shared
Rojo Tanzi, Boris Nahuel
1 / 1 shared
Cezar, Édiblu Silva
1 / 1 shared
Iturrioz, Ignacio
2 / 3 shared
Lacidogna, Giuseppe
1 / 12 shared
Soares, Fernando Souza
1 / 1 shared
Chart of publication period
2022
2015

Co-Authors (by relevance)

  • Friedrich, Leandro
  • Bordin Colpo, Angelica
  • Niccolini, Gianni
  • Rojo Tanzi, Boris Nahuel
  • Cezar, Édiblu Silva
  • Iturrioz, Ignacio
  • Lacidogna, Giuseppe
  • Soares, Fernando Souza
OrganizationsLocationPeople

article

Bridging Stress Modeling Of Composite Materials Reinforced By Fibers Using Discrete Element Method

  • Kosteski, Luis Eduardo
Abstract

The problem of toughening in brittle materials<br> reinforced by fibers is complex, involving all of the mechanical<br> properties of fibers, matrix and the fiber/matrix interface, as well as<br> the geometry of the fiber. Development of new numerical methods<br> appropriate to toughening simulation and analysis is necessary. In<br> this work, we have performed simulations and analysis of toughening<br> in brittle matrix reinforced by randomly distributed fibers by means<br> of the discrete elements method. At first, we put forward a<br> mechanical model of toughening contributed by random fibers. Then<br> with a numerical program, we investigated the stress, damage and<br> bridging force in the composite material when a crack appeared in the<br> brittle matrix. From the results obtained, we conclude that: (i) fibers<br> of high strength and low elasticity modulus are beneficial to<br> toughening; (ii) fibers of relatively high elastic modulus compared to<br> the matrix may result in substantial matrix damage due to spalling<br> effect; (iii) employment of high-strength synthetic fibers is a good<br> option for toughening. We expect that the combination of the discrete<br> element method (DEM) with the finite element method (FEM) can<br> increase the versatility and efficiency of the software developed. The<br> present work can guide the design of ceramic composites of high<br> performance through the optimization of the parameters.

Topics
  • impedance spectroscopy
  • simulation
  • crack
  • strength
  • composite
  • elasticity
  • random
  • ceramic
  • discrete element method